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Journal articles on the topic 'QoS Factors'
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1
Putra, Fauzan Prasetyo Eka, Mohammad Aziz, Goffal Arifin, Abd Rohman, Abdulloh Rizki, and Abd Muiz Syam. "Analisis Qos & Qoe." Jurnal Syntax Admiration 5, no. 1 (2024): 140–45. http://dx.doi.org/10.46799/jsa.v5i1.973.
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The analysis of quality of service (QoS) and user experience (QoE) has become a major focus in network development. This research adopts a holistic approach to examine the close relationship between QoS and QoE in a rapidly evolving network environment. We review the impact of the interaction between technical aspects (QoS) and user perception (QoE) in the context of multimedia services and high-speed networks. We analyse various QoS evaluation methods as well as factors affecting QoE, considering the dynamics of changes in user preferences. The review covers a wide range of related research conducted by key researchers in this field, including applied models and recent findings related to improving quality of service in modern networks.
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et al., Aazagreyir. "An integrated fuzzy-VIKOR-DEMATEL-TOPSIS technique for assessing QoS factors of SOA." International Journal of ADVANCED AND APPLIED SCIENCES 9, no. 10 (2022): 149–65. http://dx.doi.org/10.21833/ijaas.2022.10.018.
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Quality of service (QoS) is a very important concept in service-oriented architecture (SOA). While there is a growing body of study on QoS-based service selection based on SOA, there is little research on analyzing QoS factors from the viewpoints of IT workers and researchers. As a result, the purpose of the current study aims to offer an integrated fuzzy VIKOR-TOPSIS-DEMATEL approach framework for evaluating QoS factors of online services from the viewpoint of experts in a fuzzy environment. A numerical assessment of the QoS factors for a case firm in Ghana indicated that the suggested technique is appropriate for the problem. Furthermore, the technique outcomes divided QoS factors into cause-effect variables, ranked QoS factors, and lastly, suggested conflicting QoS factors. The results from the Fuzzy DEMATEL aspect of the proposed approach found integrity, availability, accessibility, compliance, documentation, latency, and adaptability as causal variables. While response time, cost/price, reliability, performance, security, reputation, throughput, best practices, success ability, encryption, portability, storage, and consistency are regarded as influential variables. The Fuzzy TOPSIS aspect of the technique found adaptability, documentation, consistency, transaction, and accessibility are the most ranked QoS factors of online services. The fuzzy VIKOR side of the proposed method discovers integrity, cost, and latency as incommensurable QoS factors. Finally, a sensitivity analysis was carried out, and the results show the model is robust. This study confirms the position of existing knowledge on sensitivity analysis in the QoS literature. In the issue of QoS factor evaluation, this work effectively blended three MCDM techniques. The study's shortcoming stems from its reliance on data from QoS specialists from only one developing nation (i.e. Ghana).
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Ye, Qian, Meng Wu, and Yu Fei Wang. "A Trusted QoS Architecture for Wireless Multimedia Sensor Networks." Applied Mechanics and Materials 571-572 (June 2014): 1009–13. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.1009.
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Developing trusted QoS architecture is important for wireless multimedia sensor networks considering various applications with different QoS requirements. First, the diverse multimedia traffic were analyzed and classified based on application requirements, service model, and multimedia coding method in wireless multimedia sensor networks. And the QoS requirements related to the multimedia traffic were also discussed. Then, a trust management framework was designed for cluster-based wireless multimedia sensor networks. The proposed framework can be used to next-hop selection in secure routing protocol. Finally, trusted QoS architecture was proposed. In the architecture, QoS manager observes and maintains information about QoS factors, and also responsible for QoS scheduling based on different QoS requirements. Trust Manager observes and maintains information about trust factors in WMSNs, and also responsible for trust computing based on different methods of trust factors aggregation.
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Chaari, Lamia, and Lotfi Kamoun. "QoS Concepts and Architecture Over Wireless Body Area Networks for Healthcare Applications." International Journal of E-Health and Medical Communications 2, no. 4 (2011): 50–66. http://dx.doi.org/10.4018/jehmc.2011100104.
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Wireless Body Area Networks (WBANs) applications have emerged as one of the most recent research areas of wireless sensor networks. Lots of research is improving QoS factors in sensor networks. However, QoS requirements vary from application to application, WBAN applications are very sensitive, and QoS issues in WBAN need major concern and focus. This paper outlines the WBANs QoS requirements and factors and reviews with emphasis on their strengths some medium access mechanisms that response to some QoS challenges. Moreover, the authors have defined and specified a QWBAN MAC protocol that can allow the integration of QoS architecture over WBAN. A set of QoS modules such as admission control (CAC), bandwidth allocation and scheduling are discussed. Besides that, an integrated QoS architecture is suggested for WBAN to support healthcare applications.
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Raghuram Kadali, Bhadradri, and Perumal Vedagiri. "Pedestrian quality of service at unprotected mid-block crosswalk locations under mixed traffic conditions: towards quantitative approach." Transport 33, no. 2 (2016): 302–14. http://dx.doi.org/10.3846/16484142.2016.1183227.
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Safety, comfort, convenience and minimal delay are essential for pedestrians at mid-block crosswalk locations. Therefore, it is necessary to evaluate the quality of crosswalk with these qualitative parameters. In this study, qualitative parameters such as safety, crossing opportunities (available time gaps) and delay index values are considered as a single measure of effectiveness as a Pedestrian Crossing Index (PCI) for evaluation of Quality Of Service (QOS) at unprotected mid-block crosswalk locations under mixed traffic conditions. Further, the study is aimed at identifying the factors contributing to the pedestrian QOS. In order to achieve these objectives, field surveys were conducted at eight different unprotected mid-block crosswalk locations to collect pedestrian individual (age and gender), behavioural, traffic and roadway characteristics. An ordered probit model has been developed to find out the significant factors contributing to the pedestrian QOS by taking QOS as the dependent variable and other collected variables as independent variables. The model results show that several factors have significant effect on pedestrian QOS and out of these, factors such as rolling behaviour, speed change behaviour of pedestrian, vehicle speed, number of lanes and number of vehicle encountered were identified as the primary factors affecting pedestrian QOS at unprotected midblock crosswalk locations. The developed model may be useful for design and evaluation of the existing pedestrian QOS at unprotected mid-block crosswalk locations under mixed traffic conditions.
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Pal, Debajyoti, and Vajirasak Vanijja. "A No-Reference Modular Video Quality Prediction Model for H.265/HEVC and VP9 Codecs on a Mobile Device." Advances in Multimedia 2017 (2017): 1–19. http://dx.doi.org/10.1155/2017/8317590.
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We propose a modular no-reference video quality prediction model for videos that are encoded with H.265/HEVC and VP9 codecs and viewed on mobile devices. The impairments which can affect video transmission are classified into two broad types depending upon which layer of the TCP/IP model they originated from. Impairments from the network layer are called the network QoS factors, while those from the application layer are called the application/payload QoS factors. Initially we treat the network and application QoS factors separately and find out the 1 : 1 relationship between the respective QoS factors and the corresponding perceived video quality or QoE. The mapping from the QoS to the QoE domain is based upon a decision variable that gives an optimal performance. Next, across each group we choose multiple QoS factors and find out the QoE for such multifactor impaired videos by using an additive, multiplicative, and regressive approach. We refer to these as the integrated network and application QoE, respectively. At the end, we use a multiple regression approach to combine the network and application QoE for building the final model. We also use an Artificial Neural Network approach for building the model and compare its performance with the regressive approach.
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Li, Zhen, Qian Yi Yang, Yi Chen Zhou, and Hui Ren. "Research on QoS Guarantee Technology for Intercom System Based on SIP." Applied Mechanics and Materials 644-650 (September 2014): 2863–67. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2863.
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Theatre intercom system based on SIP has solved the defects of traditional theater scheduling, but it doesn't guarantee the quality of service (QoS). This paper introduced the key technology for SIP-based theatre intercom system, including the fundamentals of VOIP and signaling technology. We analysed the main factors influencing QoS, summarized correlative techniques improving QoS for theatre intercom system, including QoS relevant protocols and QoS guarantee technology on terminals. These technologies can be synthetically used, so as to improve the reliability of theatre intercom system.
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Biradar, Pallavi, Patil Shweta, K. Padmanaban, A. Suresh, Mohammed Bakhar, and Alazar Yeshitla. "Active Learning Assisted Admission and Bandwidth Management in HWN for Facilitating Differential QoS under Multicriteria Factors." Scientific Programming 2022 (October 6, 2022): 1–10. http://dx.doi.org/10.1155/2022/3175070.
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Control of call admission and management of bandwidth are the two important functionalities to achieve higher call handling capacity in heterogeneous wireless networks (HWN). This work addresses the problem of supporting differential qualities of services (QoS) with adherence to multicriteria factors in addition to reducing call-dropping probability in HWN. Toward this end, learning-assisted admission and bandwidth management are proposed. The decision to control the call acceptance ratio and bandwidth allocation level is learned continuously based on current network dynamics and the differential QoS requirements of the current calls. This learning reduces the call drop probability and slippage in QoS for calls. The parameters employed for evaluation in the suggested approach for call admission control include call priority, service type, service delivery mode, bandwidth availability for scalable and nonscalable calls, QoS distortion rate, and call ratio.
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Fu, Shun, Junnan Li, and Lufeng Wang. "RA-QoS: a robust autoencoder-based QoS predictor for highly accurate web service QoS prediction." PeerJ Computer Science 11 (June 2, 2025): e2928. https://doi.org/10.7717/peerj-cs.2928.
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Web services are fundamental for online service-oriented applications, where accurately predicting quality of service (QoS) is critical for recommending optimal services among multiple candidates. Since QoS data often contains noise—stemming from factors like remote user or service locations—current deep neural network (DNN)-based QoS predictors, which generally rely on L2-norm loss functions, face limitations in robustness due to sensitivity to outliers. To address this issue, we propose a novel robust autoencoder-based QoS predictor (RA-QoS) that leverages a hybrid loss function combining bias, training bias, L1-norm and L2-norm to build a robust Autoencoder. This hybrid approach allows RA-QoS to better handle noisy data, minimizing the impact of outliers and biases on prediction accuracy. The RA-QoS model further incorporates preprocessing and training biases, improving its adaptability to real-world QoS data. To evaluate the proposed RA-QoS predictor, extensive experiments are conducted on two real-world QoS datasets. The results demonstrate that our RA-QoS predictor exhibits superior robustness to outliers and higher accuracy in QoS prediction compared to the related state-of-the-art models.
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Zhang, Pengcheng, Huiying Jin, Yuan Zhuang, Hareton Leung, Wei Song, and Yu Zhou. "Weighted Bayesian Runtime Monitor: A Novel QoS Monitoring Approach Sensitive to Environmental Factors." International Journal of Software Engineering and Knowledge Engineering 28, no. 09 (2018): 1339–68. http://dx.doi.org/10.1142/s0218194018500389.
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How to assure Quality of Service (QoS) of the third-party services is very important for the SOA. Effective monitoring technique towards QoS, which is an important measurement for third-party service quality, is necessary to ensure quality of Web service. Current monitoring approaches do not consider the influences of environment factors such as the position of server, user usage, and the load at runtime. Ignoring these influences, which do exist among the monitoring process, may cause existing monitoring approaches producing unpredictable monitoring results. In order to overcome this limitation, this paper proposes a novel Web Service QoS (WS-Qos) monitoring approach sensitive to environmental factors called weighted Bayesian Runtime Monitor (wBSRM) based on weighted naïve Bayesian classifiers and Term Frequency-Inverse Document Frequency (TF-IDF) algorithm. wBSRM constructs weighted naïve Bayesian classifier by learning a part of samples to classify the monitoring results. The results meeting QoS standard are classified as [Formula: see text] and the one that does not meet is classified as [Formula: see text]. Classifier can also output ratio between posterior probability of [Formula: see text] and [Formula: see text], and consequently the analysis can lead to three monitoring results including [Formula: see text], [Formula: see text] or inconclusive. A set of dedicated experiments are conducted to validate wBSRM. The experiments are based on a public dataset and a simulated dataset under the given standard. The experimental results demonstrate that wBSRM is better than previous approaches.
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Yang, Ju-Yeh, Jenq-Wen Huang, Yu-Sen Peng, et al. "Quality of Sleep and Psychosocial Factors for Patients Undergoing Peritoneal Dialysis." Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis 27, no. 6 (2007): 675–80. http://dx.doi.org/10.1177/089686080702700614.
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Objectives Sleep disorders are common in end-stage renal disease patients. This study examined the relationship between self-reported quality of sleep (QoS) and certain psychosocial domains for patients on peritoneal dialysis (PD). Methods The study subjects included 190 PD patients from 7 urban dialysis clinics in Northern Taiwan, from whom we obtained biochemical parameters and demographic data. QoS, quality of life (QoL), religious/spiritual activity, and depression were assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire, Medical Outcomes Study Short Form (SF-36) for QoL, the Royal Free Questionnaire, and the Beck Depression Inventory, respectively. Results The average PSQI score was 9.1 ± 4.1 and, in total, 85.8% of all patients were poor sleepers (global PSQI ≥ 5). There was no difference in age, gender, and mode or duration of PD between good and poor sleepers. Biochemical data did not differ between the two groups. Widowed patients experienced significantly poorer QoS than patients with other marital status (PSQI scores: 12.3 ± 4.9 vs 8.88 ± 4.0, p = 0.006). The percentage of patients that held a bachelor's degree or above was significantly higher in good sleepers (55.6% vs 29.4%, p = 0.008). The PSQI value correlated negatively with the QoL scale in both physical ( r = –0.295, p < 0.001) and mental domains ( r = –0.410, p < 0.001), and correlated positively with the depression scale ( r = 0.351, p < 0.001). There appeared to be no association between QoS and spiritual/religious activity ( r = –0.097, p = 0.223). Conclusions Psychosocial factors including depression, patients’ perceptions regarding QoL, marital status, and educational background correlated significantly to the subjective QoS for PD patients. When dealing with sleep disorders in PD patients, physicians should pay considerable attention to their psychosocial backgrounds.
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Xia, Hong, Qingyi Dong, Jiahao Zheng, Yanping Chen, Cong Gao, and Zhongmin Wang. "A QoS Prediction Approach Based on Truncated Nuclear Norm Low-Rank Tensor Completion." Sensors 22, no. 16 (2022): 6266. http://dx.doi.org/10.3390/s22166266.
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With the rise of mobile edge computing (MEC), mobile services with the same or similar functions are gradually increasing. Usually, Quality of Service (QoS) has become an indicator to measure high-quality services. In the real MEC service invocation environment, due to time and network instability factors, users’ QoS data feedback results are limited. Therefore, effectively predicting the Qos value to provide users with high-quality services has become a key issue. In this paper, we propose a truncated nuclear norm Low-rank Tensor Completion method for the QoS data prediction. This method represents complex multivariate QoS data by constructing tensors. Furthermore, the truncated nuclear norm is introduced in the QoS data tensor completion in order to mine the correlation between QoS data and improve the prediction accuracy. At the same time, the general rate parameter is introduced to control the truncation degree of tensor mode. Finally, the prediction approximate tensor is obtained by the Alternating Direction Multiplier Method iterative optimization algorithm. Numerical experiments are conducted based on the public QoS dataset WS-Dream. The results indicate that our QoS prediction method has better prediction accuracy than other methods under different missing density QoS data.
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Ramraj, Rajeshkumar, Ehsan Pashajavid, Sanath Alahakoon, and Shantha Jayasinghe. "Quality of Service and Associated Communication Infrastructure for Electric Vehicles." Energies 16, no. 20 (2023): 7170. http://dx.doi.org/10.3390/en16207170.
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Transportation electrification is pivotal for achieving energy security and emission reduction goals. Electric vehicles (EVs) are at the forefront of this transition, driving the development of new EV technologies and infrastructure. As this trend gains momentum, it becomes essential to enhance the quality of service (QoS) of EVs to encourage their widespread adoption. This paper has been structured with two primary aims to effectively address the above timely technological needs. Firstly, it comprehensively reviews the various QoS factors that influence EVs' performance and the user experience. Delving into these factors provides valuable insights into how the QoS can be improved, thereby fostering the increased use of EVs on our roads. In addition to the QoS, this paper also explores recent advancements in communication technologies vital for facilitating in-formation exchanges between EVs and charging stations. Efficient communication systems are crucial for optimizing EV operations and enhancing user experiences. This paper presents expert-level technical details in an easily understandable manner, making it a valuable resource for researchers dedicated to improving the QoS of EV communication systems, who are tirelessly working towards a cleaner, more efficient future in transportation. It consolidates the current knowledge in the field and presents the latest discoveries and developments, offering practical insights for enhancing the QoS in electric transportation. A QoS parameter reference map, a detailed classification of QoS parameters, and a classification of EV communication technology references are some of the key contributions of this review paper. In doing so, this paper contributes to the broader objectives of promoting transportation electrification, enhancing energy security, and reducing emissions.
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Khamosh, Abdurauf, Abdul Rahim Ahmadi, Mohammad Anwer, Javid Hamdard, Sadiq Aminzai, and Nasratullah Nasrat. "Relationship between IoT Service User Quality and Network QoS Factors." Journal for Research in Applied Sciences and Biotechnology 2, no. 2 (2023): 147–54. http://dx.doi.org/10.55544/jrasb.2.2.21.
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The Internet of Things (IoT) is a complete network of networked computer devices, digital and mechanical equipment, and the capacity to send data over the Internet based on machine to machine interaction. It is also known as the Internet of Everything (IoE). The Internet is a packet-switched network, which means that the Quality of Service (QoS) elements (such as packet loss, latency, jitter, and so on) have an influence on the Quality of Experience (QoE) for the Internet of Things services. This research used a subjective evaluation method in order to evaluate the relationship between the quality of service (QoS) measures such as packet loss, latency, and jitter and the quality of experience (QoE) for Internet of Things services. In addition to that, a mapping model from quality of service to quality of experience was suggested. According to the results of this research, there is a close connection between the subjective opinion score and the quality of service (QoS) variables such as packet loss, latency, and jitter. The results of this investigation open up possibilities for additional research into the quality of experience of Internet of Things services.
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Waris, Zeest, Abdul Jaleel, Muhammad Shoaib, Natasha Nigar, and Douhadji Abalo. "A Suite of Design Quality Metrics for Internet of Things by Modelling Its Ecosystem as a Schema Graph." Mathematical Problems in Engineering 2022 (June 7, 2022): 1–17. http://dx.doi.org/10.1155/2022/3278371.
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Internet of Things (IoT) infrastructure connects consumer electronics, household appliances, and other smart gadgets. For designing IoT systems and applications, different architectures and protocols are being used. The design quality of an IoT system and its services is assessed with quality of service (QoS) factors such as complexity, functional appropriateness, performance, efficiency, compatibility, maintainability, portability, and usability. The existing methods in the literature focus on measuring the quality of an IoT system during execution time; however, there is a need to define some standards that may be used to determine the quality of an IoT system from its design. This work models the IoT EcoSystem as a schema graph and presents a suite of metrics to determine the design quality of an IoT system and its services under the defined QoS factors. The presented metrics are mapped to the ISO-9126 QoS factors to ensure the standards and quality of IoT services during the design phase. The proposed metrics are validated with benchmarking on a case study smart healthcare IoT system. The results proved that the presented metrics are practical to quantify the quality of IoT design models under QoS factors, and the suite of metrics is able to compare differently designed IoT services.
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Lee, Kyu-Hwan, and Kyoung Youl Park. "Overall Design of Satellite Networks for Internet Services with QoS Support." Electronics 8, no. 6 (2019): 683. http://dx.doi.org/10.3390/electronics8060683.
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The satellite network is useful in various applications because of its coverage, broadcast capability, costs independent of the distance, and easy deployment. Recently, thanks to the advanced technologies in the satellite communication, the high throughput satellite system with mesh connections has been applied to the Internet backbone. In this paper, we propose a practical overall design of the satellite network to provide Internet services with quality of service (QoS) support via the satellite network. In the proposed design, we consider two service types such as delay-tolerance and delay-sensitive services allowing the long propagation delay of the satellite link. Since it is crucial to evaluate the user satisfaction in the application layer for various environments to provide the QoS support, we also define the performance metrics for the user satisfaction and derive the major factors to be considered in the QoS policy. The results of the performance evaluation show that there are factors such as the traffic load and burstiness in the QoS policy for the delay-tolerance service with volume-based dynamic capacity in the satellite network. For the delay-sensitive service with rate-based dynamic capacity, it is additionally indicated that it is important for the estimation of effective data transmission rate to guarantee the QoS. Furthermore, it is shown that the small data size has an effect on the slight reduction of the QoS performance in the satellite network.
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Câmara-Costa, Hugo, Kim S. Bull, Colin Kennedy, et al. "Quality of survival and cognitive performance in children treated for medulloblastoma in the PNET 4 randomized controlled trial." Neuro-Oncology Practice 4, no. 3 (2017): 161–70. http://dx.doi.org/10.1093/nop/npw028.
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Abstract Background The relationship between direct assessments of cognitive performance and questionnaires assessing quality of survival (QoS) is reported to be weak-to-nonexistent. Conversely, the associations between questionnaires evaluating distinct domains of QoS tend to be strong. This pattern remains understudied. Methods In the HIT-SIOP PNET4 randomized controlled trial, cognitive assessments, including Full Scale, Verbal and Performance IQ, Working Memory, and Processing Speed, were undertaken in 137 survivors of standard-risk medulloblastoma from 4 European countries. QoS questionnaires, including self-reports and/or parent reports of the Behavior Rating Inventory of Executive Function (BRIEF), the Health Utilities Index, the Strengths and Difficulties Questionnaire, and the Pediatric Quality of Life Inventory, were completed for 151 survivors. Correlations among direct cognitive assessments, QoS questionnaires, and clinical data were examined in participants with both assessments available (n = 86). Results Correlations between direct measures of cognitive performance and QoS questionnaires were weak, except for moderate correlations between the BRIEF Metacognition Index (parent report) and working memory (r = .32) and between health status (self-report) and cognitive outcomes (r = .35–.44). Correlations among QoS questionnaires were moderate to strong both for parent and self-report (r = .39–.76). Principal Component Analysis demonstrated that questionnaires and cognitive assessments loaded on 2 separate factors. Conclusions We hypothesize that the strong correlations among QoS questionnaires is partially attributable to the positive/negative polarity of all questions on the questionnaires, coupled with the relative absence of disease-specific questions. These factors may be influenced by respondents’ personality and emotional characteristics, unlike direct assessments of cognitive functioning, and should be taken into account in clinical trials.
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Li, Fang, Yunlan Wang, and Peng Li. "The Evaluation Model of Network QoS Based on Intelligent Water Droplets Algorithm." Discrete Dynamics in Nature and Society 2020 (June 8, 2020): 1–7. http://dx.doi.org/10.1155/2020/7059480.
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In order to solve the problem of the user demands to the quality of service (QoS) of network, this paper provides a novel QoS evaluation model based on the intelligent water droplets (IWD) algorithm. The model firstly gives the evaluation indexes of network QoS and establishes a multiobjective optimization function for solution in combination with the improved IWD. Then, mathematical simulation is used to conduct the in-depth study of the key factors influencing the evaluation model. Compared with the other methods, the algorithm has shown better adaptability in the simulation results.
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J.Selvin, Paul Peter* &. Dr. G. Mahadevan. "QOS MANAGEMENT SYSTEM FOR MOBILE CLOUD." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 10 (2017): 527–33. https://doi.org/10.5281/zenodo.1036409.
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The rapid innovation of technology in smartphones, increase the no of people using internet using a smartphone. Cloud computing is shifting the mode of data usage. Thereby having an effect on mobile usage. Cloud computing is viewed as the prospect of Internet services. Cloud computing faces a lots of obstacles, among it the prime concern is Quality of Services (QoS), how a mobile service provider can ensure quality of service, for its users. As a result of this here, we provide a QoS management system for Mobile Cloud Computing using QOS aware algorithm for MCC taking in to consideration QoS factors such as Bandwidth, battery life, latency, computational power, packet loss ratio, etc. Using Simulation, we calculate the efficiency of the planned system
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Tan, Xiaoying, Yuchun Guo, Mehmet A. Orgun, Liyin Xue, and Yishuai Chen. "An Engagement Model Based on User Interest and QoS in Video Streaming Systems." Wireless Communications and Mobile Computing 2018 (September 23, 2018): 1–11. http://dx.doi.org/10.1155/2018/1398958.
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With the surging demand on high-quality mobile video services and the unabated development of new network technology, including fog computing, there is a need for a generalized quality of user experience (QoE) model that could provide insight for various network optimization designs. A good QoE, especially when measured as engagement, is an important optimization goal for investors and advertisers. Therefore, many works have focused on understanding how the factors, especially quality of service (QoS) factors, impact user engagement. However, the divergence of user interest is usually ignored or deliberatively decoupled from QoS and/or other objective factors. With an increasing trend towards personalization applications, it is necessary as well as feasible to consider user interest to satisfy aesthetic and personal needs of users when optimizing user engagement. We first propose an Extraction-Inference (E-I) algorithm to estimate the user interest from easily obtained user behaviors. Based on our empirical analysis on a large-scale dataset, we then build a QoS and user Interest based Engagement (QI-E) regression model. Through experiments on our dataset, we demonstrate that the proposed model reaches an improvement in accuracy by 9.99% over the baseline model which only considers QoS factors. The proposed model has potential for designing QoE-oriented scheduling strategies in various network scenarios, especially in the fog computing context.
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Dr., Ravi Shankar Pandey, and Pathak Richa. "AN ADAPTIVE APPROACH FOR DYNAMIC RECOVERY DECISIONS IN WEB SERVICE COMPOSITION USING SPACE BASED QOS FACTOR." International Journal on Web Service Computing (IJWSC) 6, no. 2/3 (2015): 11–26. https://doi.org/10.5281/zenodo.3706486.
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Service Oriented Architecture facilitates automatic execution and composition of web services in distributed environment. This service composition in the heterogeneous environment may suffer from various kinds of service failures. These failures interrupt the execution of composite web services and lead towards complete system failure. The dynamic recovery decisions of the failed services are dependent on non-functional attributes of the services. In the recent years, various methodologies have been presented to provide recovery decisions based on time related QoS (Quality of Service) factors. These QoS attributes can be categorized further. Our paper categorized these attributes as space and time. In this paper, we have proposed an affinity model to quantify the location affinity for composition of web services. Furthermore, we have also suggested a replication mechanism and algorithm for taking recovery decisions based on time and space based QoS parameters and usage pattern of the services by the user.
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Chen, Yanping, Lu Jiang, Jianke Zhang, and Xiaoxiao Dong. "A Robust Service Selection Method Based on Uncertain QoS." Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/9480769.
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Nowadays, the number of Web services on the Internet is quickly increasing. Meanwhile, different service providers offer numerous services with the similar functions. Quality of Service (QoS) has become an important factor used to select the most appropriate service for users. The most prominent QoS-based service selection models only take the certain attributes into account, which is an ideal assumption. In the real world, there are a large number of uncertain factors. In particular, at the runtime, QoS may become very poor or unacceptable. In order to solve the problem, a global service selection model based on uncertain QoS was proposed, including the corresponding normalization and aggregation functions, and then a robust optimization model adopted to transform the model. Experiment results show that the proposed method can effectively select services with high robustness and optimality.
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Sadat, Nazmus, and Rui Dai. "A Survey of Quality-of-Service and Quality-of-Experience Provisioning in Information-Centric Networks." Network 5, no. 2 (2025): 10. https://doi.org/10.3390/network5020010.
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Information-centric networking (ICN) is a promising approach to address the limitations of current host-centric IP-based networking. ICN models feature ubiquitous in-network caching to provide faster and more reliable content delivery, name-based routing to provide better scalability, and self-certifying contents to ensure better security. Due to the differences in the core architecture of ICN compared to existing IP-based networks, it requires special considerations to provide quality-of-service (QoS) or quality-of-experience (QoE) support for applications based on ICNs. This paper discusses the latest advances in QoS and QoE research for ICNs. First, an overview of ICN architectures is given, followed by a summary of different factors that influence QoS and QoE. Approaches for improving QoS and QoE in ICNs are then discussed in five main categories: in-network caching, name resolution and routing, transmission and flow control, software-defined networking, and media-streaming-based strategies. Finally, open research questions for providing QoS and QoE support in ICNs are outlined for future research.
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Seeling, Patrick. "Image Quality in Augmented Binocular Vision: QoE Approximations with QoS and EEG." Periodica Polytechnica Electrical Engineering and Computer Science 61, no. 4 (2017): 327. http://dx.doi.org/10.3311/ppee.9454.
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Augmented reality (AR) applications become increasingly popular, however, little is known about how multimedia consumption interplays with the Quality of Experience (QoE) in these settings. We experimentally evaluate binocular vision augmentation with optical see-through devices by contrasting QoE, expressed by Mean Opinion Scores (MOS), with a ground truth reference data set. We find that the QoE in AR settings (i) is higher for small media impairments and lower for high impairment levels compared to opaque settings, (ii) exhibits an emerging quantifiable relationship with the QoE in traditional setups, (iii) can be approached with common objective image quality metrics as Quality of Service (QoS) factors, and (iv) exhibits a relationship between the Low Gamma frequency band levels determined with consumer-grade electroencephalograms (EEG) and image quality levels as rated by the participants.
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Linna, Hu, Cao Ning, and Mao Minghe. "Research and Simulation on Wireless Packet Scheduling Scheme Based on High-Speed Packet Access Network." Open Mechanical Engineering Journal 8, no. 1 (2014): 92–95. http://dx.doi.org/10.2174/1874155x01408010092.
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The efficiency of high speed packet access (HSPA) systems is mainly based on Packet Scheduling Scheme which will be the key to influencing on the system performance and ensuring the service quality for the users. In this paper, we introduce a three step packet scheduling scheme to provide quality of services (QoS) guaranteed for high speed uplink packet access. Then, we proposed an improved packet scheduling algorithm based on QoS parameter for mixed service applications in order to meet the actual QoS needs of the different systems. This algorithm calculated the scheduling priority based on the comprehensive factors, including the queuing status of each user, QoS requirements and the sum of speeds on each channel. The simulation results show that the performance efficiency of HSPA systems employed proposed algorithm is superior compared to the conventional PF and M-LWDF algorithm in average packet drop and average cell throughput.
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Damaskou, Efterpi, Fotini Kehagia, Ioannis Karagiotas, Apostolos Anagnostopoulos, and Magdalini Pitsiava-Latinopoulou. "Driver’s Perceived Satisfaction at Urban Roundabouts—A Structural Equation-Modeling Approach." Future Transportation 2, no. 3 (2022): 675–87. http://dx.doi.org/10.3390/futuretransp2030037.
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In recent years, the use of roundabouts in road networks has reflected a sustainable and modern solution for traffic intersections. Their implementation, integrated design, and proper evaluation are a necessity to achieve their beneficial results. According to the latest edition of the Highway Capacity Manual (HCM) and the Highway Capacity and Quality Service (HCQS), a comprehensive evaluation of a roundabout is based on the interchangeable use of the LOS (level of service) and QOS (quality of service). Both manuals describe the LOS criteria, which are the same as those currently used for unsignalized at-grade intersections, while the QOS methodological description and criteria are not specifically defined. The quality of service, which corresponds to road users’ perceived satisfaction, is determined by identifying and evaluating certain factors that have an impact on users. While the previous work on evaluating the quality of roundabouts is limited, this work aimed to present and evaluate the concept of QOS for urban roundabouts in Greece and to assess the factors that affect drivers’ perceived feeling of comfort. The methodology used for the research, included data collection via an on-line questionnaire addressed to the users of the Greek road network and a statistical analysis based on the performance of six latent variables named quality components (exploratory factor analysis). A structural equation model (SEM) was used to determine the causal relationship between primary factors and quality components. It was noted that the SEM cannot predict the travel behavior but it has ability to express relationships between unobserved and observed variables. The results of the revealed model are of great value for the development of: (a) a comprehensive conceptual framework of the QOS and (b) a critical analysis of the parameters that should be considered for the assessment of the QOS of a roundabout. Identifying the factors that influence road users’ perception in terms of safety and comfort (quality of service) leads to a better knowledge and understanding of the road network characteristics that are important to road users and that influence their behavior and level of satisfaction.
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Pulungan, Annisa Kynamehule, Jannus Marpaung, and Fitri Imansyah. "QoS ANALYSIS ON THE ICONNET NETWORK SINGKAWANG CITY." Journal of Electrical Engineering, Energy, and Information Technology (J3EIT) 11, no. 3 (2023): 93. http://dx.doi.org/10.26418/j3eit.v11i3.68500.
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The purpose of this study is to analyze the Quality of Service (QoS) parameters on the Iconnet network by measuring throughput, packet loss, delay and jitter parameters when doing online games (mobile legend) and video calls (WhatsApp) with a bandwidth of 10 Mbps and 20 Mbps using wireshark application. This study discusses the causes of reduced QoS parameter values on networks in Singkawang City, data were taken at 3 times, namely morning, afternoon and evening. From all the recapitulation of QoS parameter measurement results, it can be concluded that the value of each QoS parameter can vary for each package which includes bad, good and very good categories even on the same Bandwidth package. The causes of high and low values of QoS parameters are different, Throughput is caused by the number of arrivals of packets measured during the observation process, Packet Loss is caused by the number of queues that exceed capacity, Delay is caused by the low Throughput value and the number of packets sent while the Jitter value is affected by the Delay value. External factors that can reduce the QoS value are weather conditions and the number of devices connected to the network. Network quality during the day and evening is the point when network traffic is very dense or traffic on the network is full (full traffic) where there are many users during these hours. The quality of data transfer speed is assessed with numbers 1 to 5, number 1 is the worst result, while number 5 is the best result. Packet Loss is caused by the number of queues that exceed capacity, Delay is caused by low Throughput values and the number of packets sent while the Jitter value is affected by the Delay value. External factors that can reduce the QoS value are weather conditions and the number of devices connected to the network. Network quality during the day and evening is the point when network traffic is very dense or traffic on the network is full (full traffic) where there are many users during these hours. The quality of data transfer speed is assessed with numbers 1 to 5, number 1 is the worst result, while number 5 is the best result. Packet Loss is caused by the number of queues that exceed capacity, Delay is caused by low Throughput values and the number of packets sent while the Jitter value is affected by the Delay value. External factors that can reduce the QoS value are weather conditions and the number of devices connected to the network. Network quality during the day and evening is the point when network traffic is very dense or traffic on the network is full (full traffic) where there are many users during these hours. The quality of data transfer speed is assessed with numbers 1 to 5, number 1 is the worst result, while number 5 is the best result. External factors that can reduce the QoS value are weather conditions and the number of devices connected to the network. Network quality during the day and evening is the point when network traffic is very dense or traffic on the network is full (full traffic) where there are many users during these hours. The quality of data transfer speed is assessed with numbers 1 to 5, number 1 is the worst result, while number 5 is the best result. External factors that can reduce the QoS value are weather conditions and the number of devices connected to the network. Network quality during the day and evening is the point when network traffic is very dense or traffic on the network is full (full traffic) where there are many users during these hours. The quality of data transfer speed is assessed with numbers 1 to 5, number 1 is the worst result, while number 5 is the best result.
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Ding, Fei, Tao Wen, Suju Ren, and Jianmin Bao. "Performance Analysis of a Clustering Model for QoS-Aware Service Recommendation." Electronics 9, no. 5 (2020): 740. http://dx.doi.org/10.3390/electronics9050740.
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The numbers of web services are growing rapidly in recent years. One of the most challenging issues in service computing is the personalized recommendation of Web services. Most of the current research recommends services based on Quality of Service (QoS)-aware data with few considerations of service-side factors, such as service functions. In this paper, a new QoS-aware Web service recommendation model based on user and service clustering (RMUSC) is proposed to gain an advance in recommended accuracy. Firstly, similar users are clustered together by a Top-N similarity algorithm through the user QoS records. Secondly, a K-means++ based filtering service cluster is established. Finally, a user and services collaborative scheme is exploited and obtains potential user QoS preferences to generate recommendations. The experimental results show that when the density of the service invocation matrix is 5%, 10% and 20%. the average absolute error (MAE) and root mean square error (RMSE) of RMUSC are lower than those of other methods.
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Hintaw, Ahmed J. Hintaw. "Performance Analysis of MQTT Protocol in IoT Environments: Impact of Payload Size and QoS on Key Metrics." Technium: Romanian Journal of Applied Sciences and Technology 28 (March 22, 2025): 43–57. https://doi.org/10.47577/technium.v28i.12649.
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The advancement of Internet of Things (IoT) technology represents the transformative opportunity and already overcomes this limiting factor, utilizing lightweight communication protocols to minimize overhead compared to traditional internet systems. MQTT is one of the popular and efficient protocol used in IoT to exchange data. In this work, we investigate the MQTT behavior in given IoT scenarios by considering payload sizes (5 MB, 10 MB,15 MB, and 20 MB) and QoS levels as influencing factors for performance metrics such as throughput, execution time, traffic overhead, and latency. Testbed experiments on a Raspberry Pi 3 indicate that processing time scales with payload size and QoS-2 (highest reliability) introduces overhead up to an order-of-magnitude. For bigger payloads, throughput increases with QoS-0 (lowest reliability) delivering the highest throughput rates, while latency increases with both payload size and QoS level. The results provide important insight on how to efficiently improve the reliability of MQTT, as it evidences the possible trade-offs between both categories.
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Najib, Warsun, Selo Sulistyo, and Widyawan. "QS-Trust: An IoT ecosystem security model incorporating quality of service and social factors for trust assessment." Communications in Science and Technology 9, no. 1 (2024): 153–60. http://dx.doi.org/10.21924/cst.9.1.2024.1419.
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In the rapidly growing and increasingly complex Internet of Things (IoT) ecosystem, securing communication and data exchanges between devices is a major concern. To address this, we proposed QS-Trust, a trust-based security model considering both Quality of Service (QoS) and social parameters. QS-Trust uses a trust value to determine the trust level between devices and employs a QoS-aware trust-based algorithm to improve the security of data transmissions. Additionally, the model incorporates intelligence parameters such as computing power, memory capacity, device behavior and context information to enhance the accuracy of trust evaluation. Our simulation results demonstrated that QS-Trust effectively improved the security of the IoT ecosystem while maintaining the high level of QoS. The execution time of QS-Trust was in the range of 21 to 128 milliseconds, which is efficient for real-time IoT applications. QS-Trust offers a promising solution for securing the IoT ecosystem. The QS-Trust model effectively addresses the challenges of maintaining accurate and up-to-date trust levels in dynamic IoT environments through its decentralized approach, multi-factor evaluations, and adaptive algorithms. By continuously monitoring device performance and interactions and dynamically adjusting trust scores, QS-Trust ensures that the IoT network remains secure and reliable.
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Mitra Unik, Soni Soni, and Randra Aguslan Pratama. "PENERAPAN METODE HTB DAN DIFFSERV GUNA PENINGKATAN QOS PADA LAYANAN VIDEO STREAMING." JURNAL FASILKOM 9, no. 3 (2019): 35–40. http://dx.doi.org/10.37859/jf.v9i3.1665.
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Abstract
 One of the popular internet services in use today is video streaming, either live (live streaming) or pre-recorder. Streaming video is a type of streaming media where data from video files is continuously transmitted over the internet to remote users. This fundamental problem appears to be influenced by the biggest factor which is the limited infrastructure of network resources which causes poor video quality. The process of digital video communication is known to consume quite a large resource, because in general the bandwidth requirements for sending Video and Audio signals. To maintain the quality of the video being played, there are several instruments needed, one of which is a data connection that is required to have Quality of Service (QoS). The parameters used in the measurement of QoS are delay, jitter, packet loss, throughput. This study uses the PPDIO method as a workflow with a Network Lifecycle approach. In this research, there are many factors that influence the quality of video, namely network factors and hardware factors. The test results obtained are not absolute, so it is possible that there will be differences in subsequent testing. Encoding also affects the quality of the video. Bandwidth equalization according to priority when the traffic conditions of all packets are full. Based on a comparative analysis of QoS parameter calculations using HTB and Diffserv methods, a comparison of throughput, jitter and delay does not differ greatly between clients.
 Keywords: Video Streaming, Diffserv, HTB, QoS
 Abstrak
 Salah satu layanan dari internet yang populer digunakan saat ini adalah video streaming, baik secara langsung (live streaming) atau pre-recorder. Streaming video merupakan jenis streaming media dimana data dari file video secara terus menerus dikirimkan melalui jaringan internet ke pengguna jarak jauh. Permasalahan mendasar ini muncul dipengaruhi oleh faktor terbesar yaitu terbatasnya infrastruktur sumber daya jaringan yang menyebabkan kualitas video yang buruk. Proses komunikasi digital video, diketahui menghabiskan resource yang cukup besar, dikarenakan Secara umum kebutuhan bandwidth untuk mengirimkan sinyal Video dan Audio. Guna menjaga kualitas dari video yang dimainkan, terdapat beberapa instrument yang dibutuhkan, salah satunya adalah koneksi data yang wajib memiliki Quality of Service (QoS). Adapun Parameter yang digunakan dalam pengukuran QoS adalah delay, jitter, packet loss, Throughput. Penelitian ini menggunakan metode PPDIO sebagai alur kerja dengan pendekatan Network Lifecycle. Pada penelitian ini didapat Banyak faktor yang mempengaruhi kualitas dari video yaitu faktor jaringan dan faktor dari Hardware. Hasil pengujian didapat tidaklah mutlak sehingga tidak menutup kemungkinan akan ada perbedaan pada pengujian selanjutnya. Encoding juga mempengaruhi kualitas dari video. pemerataan Bandwidth sesuai prioritasnya saat kondisi traffic seluruh paket penuh. Berdasarkan analisa perbandingan perhitungan parameter QoS menggunakan metode HTB dan Diffserv, didapatkan perbandingan troughput, jitter dan delay yang tidak berbeda jauh antara klien. 
 Kata kunci: Video streaming, Diffserv, HTB, QoS 
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Ouacha, Ali, Bachir Bouamoud, Ahmed Habbani, and Jamal El Abbadi. "Novel Multipoint Relays Scheme Based on Hybrid Cost Function." ISRN Aerospace Engineering 2013 (August 22, 2013): 1–9. http://dx.doi.org/10.1155/2013/604051.
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When evaluating the performance of QoS protocols, a number of factors have a major impact on the results. Notably, QoS is emphasized when mobile ad hoc networks (MANETs) are employed into aerospace fields. Some of these parameters are a particular manifestation of characteristics of the MANET environment, such as mobility. Indeed, our proposal is a novel multipoint relays scheme based on hybrid cost function taking into account QoS criteria and avoiding mobility effect of nodes, especially those selected as MPRs. A comprehensive simulation study was conducted to evaluate the performance of the proposed scheme. Performance results show that RQMPR outperforms existing MPR heuristic adopted in the ad hoc routing protocols OLSR and QOLSR, in terms of packet delivery and average end-to-end delay.
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Zhang, Jin Hai, Hua Jing Zhang, and Song Song Zhao. "Design of Real-Time Streaming Media Distribution MStreaming System." Applied Mechanics and Materials 556-562 (May 2014): 5255–58. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5255.
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This article taking into account the network efficiency, QoS, resource consumption, latency, performance and ease of use, and implementation of the system on the basis of factors such as the complexity, media management, node in the system management, and streaming media QoS control, buffer management, incentives, and other key algorithm and protocol analysis and design, and trying to achieve a balance between the factors. Finally developed real-time streaming data distribution system based on P2P MStreaming program, its resources quickly and easily launch and positioning, exert the advantage of P2P technology can effectively solve the problem of server bottleneck link, decentralized services and resource consumption.
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Mahamure, Sandesh, Poonam N. Railkar, and Parikshit N. Mahalle. "Mathematical Representation of Quality of Service (QoS) Parameters for Internet of Things (IoT)." International Journal of Rough Sets and Data Analysis 4, no. 3 (2017): 96–107. http://dx.doi.org/10.4018/ijrsda.2017070107.
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Now we are in the era of ubiquitous computing. Internet of things (IoT) is getting matured in various parts of the world. In coming few years' billions and trillions of things will be connected to the internet. To deal with these huge number of devices in a network we need to consider Quality of Service (QoS)parameters so that system operations can be performed in a smoother way. Mathematical modelling of these QoS parameters gives an idea about which factors are needs to consider while designing any IoT-enabled system at the same time it will give the performance analysis of the system before implementation. In this paper comprehensive literature survey is done to discuss various issues related to QoS and gap analysis is also done for IoT Enabled systems. This paper proposes general steps to build a mathematical model for a system. It also proposes the mathematical model for QoS parameters like reliability, communication complexities, latency and aggregation of data for IoT. To support proposed mathematical model proof of concept also given.
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Charuenporn, Pattama, and Sarun Intakosum. "Qos-Security Metrics Based on ITIL and COBIT Standard for Measurement Web Services." JUCS - Journal of Universal Computer Science 18, no. (6) (2012): 775–97. https://doi.org/10.3217/jucs-018-06-0775.
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Web Services have been widely adopted in business projects, and almost all Web Service developers agree that security factors are the principal components that must be taken into consideration. A large number of security metrics and measurements is available for specific business needs, and the best practice for different business demands is therefore needed if the quality of service security metrics (Qos-SM) is to be developed. This research proposes a new way of developing Qos-SM using Qos ontology mapping with two information system standards, COBIT and ITIL, as a result of which new Qos-SM are developed. In order to prove the correctness and precision of the metrics, the researchers have used the metrics to measure the level of security quality from Web service data sets. The experimental results, based on vector analysis, show that the same level of security quality is attained with both of the metrics developed and the metrics from previous research. This research also represents the metrics in the form of a class diagram, thus facilitating its application in the organization.
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Li, Li Fen. "MCL and ACO Based QoS Routing Algorithm for WSN Used in Power Line Monitoring." Applied Mechanics and Materials 672-674 (October 2014): 2033–36. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.2033.
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This paper presents a new cross-layer QoS routing algorithm for wireless sensor networks. Basing on the principle of cross-layer design, the algorithm adopts delay, nodes’ load and link quality as QoS metrics. The QoS routing metrics are regarded as heuristics correction factors in ant colony algorithm (ACA). The ants are divided into a number of different populations. Through the interaction of pheromone between multi populations, the routing algorithm searches for the feasible paths in parallel and updates the pheromone in time. To overcome the slow convergence of ant colony algorithm, membership cloud model (MCL) is used to control the randomness of the ants. The simulation results demonstrate that the routing algorithm can guarantee the real time, reliability and robustness of wireless sensor networks. It can also achieve the network load balancing.
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Mahajan, Rupesh, Purushottam R. Patil, Amol Potgantwar, and P. R. Bhaladhare. "Novel Load Balancing Optimization Algorithm to Improve Quality-of-Service in Cloud Environment." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 2 (2023): 57–64. http://dx.doi.org/10.17762/ijritcc.v11i2.6110.
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Scheduling cloud resources calls for allocating cloud assets to cloud tasks. It is possible to improve scheduling outcomes by treating Quality of Service (QoS) factors as essential constraints. However, efficient scheduling calls for improved optimization of QoS parameters, and only a few resource scheduling algorithms in the available literature do so. The primary objective of this paper is to provide an effective method for deploying workloads to cloud infrastructure. To ensure that workloads are executed efficiently on available resources, a resource scheduling method based on particle swarm optimization was developed. The proposed method's performance has been measured in the cloud. The experimental results prove the efficiency of the proposed approach in reducing the aforementioned QoS parameters. Several metrics of algorithm performance are used to gauge how well the algorithm performs.
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Khudhus, Md A. "QoS Prediction of 5G Network Slices using ML Models." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 285–92. https://doi.org/10.22214/ijraset.2025.70147.
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Quality of Service (QoS) is a critical factor in 5G networks, ensuring reliable and efficient communication across diverse applications. In this paper, we introduce Machine Learning (ML) algorithms to predict QoS parameters in 5G network slices, enabling early detection and optimization of service degradation. Our system leverages advanced ML models to analyse key features like Slice Type, User Mobility, Slice Priority, Throughput, Jitter, and other network metrics without relying on manual monitoring. This application predicts QoS parameters and provides insights to improve network performance, ensuring better resource allocation and user experience. The system is trained to distinguish patterns from real-world and synthetic datasets, including parameters such as CPU utilization, memory usage, and environmental conditions (e.g., weather and time of day). Early detection of QoS degradation can prevent major service disruptions, including reduced network reliability, increased latency, and poor user experience in critical applications like autonomous vehicles and telemedicine. Traditional methods for monitoring and optimizing QoS often require manual intervention and substantial computational resources. These approaches may lack the responsiveness and scalability required for modern 5G networks. Our proposed system uses an efficient, automated, and adaptive method to predict QoS by analysing multiple factors simultaneously. The application provides network operators with real-time insights and actionable recommendations to maintain optimal service quality. The process is implemented using advanced ML models, including Random Forest, Linear Regression model and Decision Tree Model, with Random Forest providing the best performance through hyperparameter tuning. We utilize an enhanced QoS dataset collected from Kaggle and enriched with synthetic data to simulate real-world 5G conditions. After dataset preprocessing— such as feature extraction, scaling, and encoding—model training is conducted, and the final optimized model is deployed using Django for real-time predictions and analysis.
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Deepa, S., Kamal Raj S, and Sridhar K.P. "Development of mobile adhoc network using leader Selection algorithm." International Journal of Engineering & Technology 7, no. 2.9 (2018): 6. http://dx.doi.org/10.14419/ijet.v7i2.9.9929.
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Mobile ad-hoc network (MANET) is an interconnection of mobile devices without preexisting topology which form a communication network. QOS parameters like congestion control, confidentiality, output, delay, energy consumption, jitter, have to be improved based on the development of transmission technology, and real-time applications. MANETs are totally different from distributed COMPUTING systems. They are dynamic and self-organizing networks. A leader is needed to coordinate and organize tasks in MANET. The challenge is to own the proper election algorithm that chooses the correct leader based on numerous factors in MANET. The task of the leader is to keep up the quality of service (QOS) in the MANET. This paper explores QoS in MANET by using the leader of the network by correct election algorithm by improving the network lifetime, path stability, and reduce end to end delay.
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Srikanth*, P., S. Pallam Shetty, and K. Venkata Krishna R. "Taguchi Approach for Determining the Most Essential Aspect in Enhancing the RPL Performance." International Journal of Innovative Technology and Exploring Engineering 10, no. 10 (2021): 59–63. http://dx.doi.org/10.35940/ijitee.j9412.08101021.
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Wireless Networks to support real time communication is a challenging issue due to limited bandwidth and limited energy. Internet a best-effort model with IPv4 have complication in handling the limited network connections. To prune the network connection problem IPv6 a QoS model has been incorporated. IPv6 implementation using internet over various devices/things connected wirelessly is Internet Of Things(IOT). RPL a routing protocol best suits for IOT communication needs to implement best effort model with ICMP highly adaptable for IPv4. A series of experiments have been conducted on Cooja simulator to analyse for enhancement for QoS parameters metric on RPL Routing Protocol. The experimental results yields that no of nodes, Tx Ratio, ICMP intervals and ICMP interval are four factor having an remarkable influence on the QoS Metric of RPL routing protocol. A Design of experiments have been conducted to an optimum level using the Taguchi approach to pick out the most influential factor among the four factors. Taguchi experimental analysis revealed that ICMP time interval as most significant factor for QoS metric in RPL routing protocol for minimizing the energy consumption and enhancing the network lifetime.
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P., Srikanth, Pallam Shetty S., and Krishna R. K.Venkata. "Taguchi Approach for Determining the Most Essential Aspect in Enhancing the RPL Performance." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 10, no. 10 (2021): 59–63. https://doi.org/10.35940/ijitee.J9412.08101021.
Full textAbstract:
Wireless Networks to support real time communication is a challenging issue due to limited bandwidth and limited energy. Internet a best-effort model with IPv4 have complication in handling the limited network connections. To prune the network connection problem IPv6 a QoS model has been incorporated. IPv6 implementation using internet over various devices/things connected wirelessly is Internet Of Things(IOT). RPL a routing protocol best suits for IOT communication needs to implement best effort model with ICMP highly adaptable for IPv4. A series of experiments have been conducted on Cooja simulator to analyse for enhancement for QoS parameters metric on RPL Routing Protocol. The experimental results yields that no of nodes, Tx Ratio, ICMP intervals and ICMP interval are four factor having an remarkable influence on the QoS Metric of RPL routing protocol. A Design of experiments have been conducted to an optimum level using the Taguchi approach to pick out the most influential factor among the four factors. Taguchi experimental analysis revealed that ICMP time interval as most significant factor for QoS metric in RPL routing protocol for minimizing the energy consumption and enhancing the network lifetime.
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Debnath, Sumon Kumar, Mousumi Saha, Md Manowarul Islam, Prodip Kumar Sarker, and Ileas Pramanik. "Evaluation of Multicast and Unicast Routing Protocols Performance for Group Communication with QoS Constraints in 802.11 Mobile Ad-hoc Networks." International Journal of Computer Network and Information Security 13, no. 1 (2021): 1–15. http://dx.doi.org/10.5815/ijcnis.2021.01.01.
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In Mobile Ad-hoc Network (MANET), portable devices like smartphones, or laptop PC can join together to make provisional networks without any infrastructure The objective of multicast or unicast protocols is to ensure an efficient route formation and flow control mechanism which is a very challenging issue for many group computing services in MANETs. MANETs can support several real-time applications like emergency rescue, and disaster relief operations which require minimum Quality of Service (QoS) to handle high traffic. Providing QoS for multimedia and group-oriented computing in MANETs becomes a real challenge due to the wireless medium and the mobility of operating nodes. Therefore, an investigation of routing protocols for one-to-many or many-to-many computing is important that supports acceptable QoS in MANETs. Numerous QoS metrics have been considered for the assessment like packet delivery ratio, latency, packet loss rate, control overhead, and throughput. By considering different network topologies and scenarios with different performance parameters, the primary goal of this study is to explore the challenges and factors for QoS services in MANET’s multicast communication. The outcomes of investigation can be used to design the future MANET protocol for multimedia applications. The performance results indicate that the increasing number of sending/receiving nodes may increase the overhead or latency of the network but capable of providing higher network throughput, carried out in NS-2. The results also indicate although MANETs can induce errors and packets are lost as part of the normal operating context, multicast AODV practice superior to the unicast protocol to various QoS in a wide range of scenarios with less overhead.
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Wang, Hei-Chia, Chang-Shing Lee, and Tsung-Hsien Ho. "Combining subjective and objective QoS factors for personalized web service selection." Expert Systems with Applications 32, no. 2 (2007): 571–84. http://dx.doi.org/10.1016/j.eswa.2006.01.034.
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Ma, Xin Qiang, Yi Huang, Dan Ning Li, and You Yuan Liu. "Study on Quality of Service Based on Trusted Computing." Applied Mechanics and Materials 556-562 (May 2014): 3941–44. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3941.
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Trusted computing is a hot topic of information security technology research nowadays. It was developed based on computing and Information Systems. At the same time, business processes for e-commerce and Web service applications, suppliers and customers define a binding agreement or contract between the two parties, specifying quality of service (QoS) items such as products or services to be delivered, deadlines, quality of products, and cost of services. The management of QoS metrics directly impacts the success of organizations participating in e-commerce. In this paper, we discuss the present situation about QoS in the environment of trusted computing. It describes the factors related to each attribute, as well as possible tradeoffs and existing efforts to achieve that quality. The paper also discusses key issues in services level agreements that are used to contract the level of services quality between service providers and users.
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Merabet, Fatima, and Djamel Benmerzoug. "Qos prediction for service selection and recommendation with a deep latent features autoencoder." Computer Science and Information Systems, no. 00 (2021): 54. http://dx.doi.org/10.2298/csis210518054m.
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The number of services on the Internet has increased rapidly in recent years. This makes it increasingly difficult for users to find the right services from a large number of the functionally equivalent candidate. In many cases, the number of services invoked by a user is quite limited, resulting in a large number of miss ing QoS values and sparseness of data. Consequently, predicting QoS values of the services is important for users to find the exact service among many functionally similar services. However, improving the accuracy of QoS prediction is still a prob lem. Despite the successful results of the proposed QoS prediction methods, there are still a set of issues that should be addressed, such as Sparsity and Overfitting. T address these issues and improve prediction accuracy. In this paper, we propose a novel framework for predicting QoS values and reduce prediction error. This frame work named auto-encoder for neighbor features (Auto-NF) consists of three steps. In the first step, we propose an extended similarity computation method based on Euclidean distance to compute the similarity between users and find similar neigh bors. In the second step, we form clusters of similar neighbors and partition the initial matrix into sub-matrices based on these clusters to reduce the data sparsity problem. In the third step, we propose a simple neural network autoencoder that can learn deep features and select an ideal number of latent factors to reduce the over fitting phenomenon. To validate and evaluate our method, we conduct a series of experiments use a real QoS dataset with different data densities. The experimental results demonstrate that our method achieves higher prediction accuracy compared to existing methods.
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Akhtar, Muhammad Shoaib, and Tao Feng. "Techniques For Reducing Energy And Delay For Data Aggregation In Wireless Sensor Networks." EAI Endorsed Transactions on Creative Technologies 9, no. 3 (2022): e4. http://dx.doi.org/10.4108/eetct.v9i3.2140.
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WSN have many applications in different fields like medical, military, health and agriculture, etc., due to its data sensing and gathering abilities to Base station. The main issue in wireless sensor network is energy efficiency under consideration of QOS parameter like delay and security. Many of techniques have been proposed in literature but few work on energy efficient network with QOS. Due to lack of prior research in this area of study, this research will optimize the existing result in manner of giving efficient energy mechanisms and will also provide QOS as well as reduction of delay. It is very important to calculate energy efficiency and data transmission rate in wireless sensor networks because it is widely used in every field of life, especially when we are talking about medical, military and navigation system. After identifying main issues, this research will focus on energy efficiency and delay reduction. But other factors like security and average transmission time is not fully focused.
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Ebrahim, Khodadady. "Actualizing Self through Health and Language Achievement." ISRG Journal of Education, Humanities and Literature (ISRGJEHL) I, no. VI (2024): 7–14. https://doi.org/10.5281/zenodo.14023497.
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<strong>Abstract</strong> <em>The 11 taxa of self explaining its actualization through Quranic Orientation Scale (QOS) were revised and expanded. Along with a demographic scale, the QOS was administered to 1123 grade 4 senior high school (G4SHS) students among whom 147 took a schema-based close multiple choice item language achievement test (S-Test) as well. The responses on the QOS were then subjected to factor, reliability and correlational analyses by resorting to Varimax with Kaiser Normalization, Cronbach Alpha and Pearson product-moment correlations. The responses were also correlated with the students’ scores on the S-Test. The results showed that the QOS and its seven underlying factors measure eight taxa of self actualization called monotheists (MTs), fake monotheists (FMTs), doubtful monotheists (DMTs), polytheists (PTs), self-theists (STs), wise theists (WTs), emotional theists (ETs) and cognitive theists (CTs). Only did the taxa of MTs and FMTs represented by the QOS and its first factor associate with language achievement measured by the S-Test. Since these two taxa also dealt with health, their correlation with the S-Test showed that there is a significant relationship between G4SH students’ actualization of their selves as MTs and FMTs, their language achievement and health. A textual analysis of representative medical, psychiatric, psychological and religious textbooks was also run by resorting to schema theory to discuss and explain selves actualized by MTs and FMTs through health.</em> <strong>Keywords:</strong><em> health, language achievement, schema theory, self-actualization</em>
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Ebrahim, Khodadady. "Actualizing Self through Health and Language Achievement." ISRG Journal of Education, Humanities and Literature (ISRGJEHL) I, no. VI (2024): 7–14. https://doi.org/10.5281/zenodo.14024422.
Full textAbstract:
<strong>Abstract</strong> <em>The 11 taxa of self explaining its actualization through Quranic Orientation Scale (QOS) were revised and expanded. Along with a demographic scale, the QOS was administered to 1123 grade 4 senior high school (G4SHS) students among whom 147 took a schema-based close multiple choice item language achievement test (S-Test) as well. The responses on the QOS were then subjected to factor, reliability and correlational analyses by resorting to Varimax with Kaiser Normalization, Cronbach Alpha and Pearson product-moment correlations. The responses were also correlated with the students’ scores on the S-Test. The results showed that the QOS and its seven underlying factors measure eight taxa of self actualization called monotheists (MTs), fake monotheists (FMTs), doubtful monotheists (DMTs), polytheists (PTs), self-theists (STs), wise theists (WTs), emotional theists (ETs) and cognitive theists (CTs). Only did the taxa of MTs and FMTs represented by the QOS and its first factor associate with language achievement measured by the S-Test. Since these two taxa also dealt with health, their correlation with the S-Test showed that there is a significant relationship between G4SH students’ actualization of their selves as MTs and FMTs, their language achievement and health. A textual analysis of representative medical, psychiatric, psychological and religious textbooks was also run by resorting to schema theory to discuss and explain selves actualized by MTs and FMTs through health.</em> <strong>Keywords:</strong><em> health, language achievement, schema theory, self-actualization</em>
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Khodad, Ebrahim. "Revised Schema of Self and Its Actualization in Health Sciences through Language Achievement." Psychology and Mental Health Care 8, no. 9 (2024): 01–06. https://doi.org/10.31579/2637-8892/299.
Full textAbstract:
Objective: The 11 taxa of self in Khodadady’s [1] Quranic Orientation Scale (QOS) were revised and expanded. Those represented by the seven factors underlying the QOS were then correlated with a schema-based cloze multiple-choice item English language achievement test (S-Test) to find out whether the taxa in general and those involving health in particular associate with the achievement. Method: The Arabic Quran (Q) was parsed into its constituting 114 chapters, 6348 verses, and 98037 words to determine what taxa of self the 57 verses upon which the items of the QOS was developed contributed to. The taxa matching the factors underlying the QOS were then scrutinized in terms of their relationship with health and correlated with the scores of 1123 grade four senior high school students on the S-Test. Results: The Q assigns the schema of self actualized by Homo sapiens (HS) to 13 taxa: Allah, psychical monotheist, observing monotheist, monotheist (MT), fake monotheist (FMT), doubtful monotheist, polytheist, and self-theist, wise theist, emotional theist, cognitive theist, instinctual theist, and words. Only the two taxa of MT and FM dealing with health associated significantly with the S-Test. Conclusion: The highest taxon of self represents the One God named Allah. He is the only true self who enjoys complete health as defined by World Health Organization [2]. Among the selves actualized by HS only MTs and FMTs enjoy relative health because they do not consume alcohol to suffer from alcoholism and its related illnesses. Although they both learn the English language in the process, FMTs achieve higher than MTs in the language.
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Zhang, Kailong, Ce Xie, Yujia Wang, et al. "Service-Oriented Cooperation Policies for Intelligent Ground Vehicles Approaching Intersections." Applied Sciences 8, no. 9 (2018): 1647. http://dx.doi.org/10.3390/app8091647.
Full textAbstract:
With the coming of intelligent vehicles and vehicular communication, Intelligent Transportation Systems (ITS) of connected vehicles are emerging and now evolving to Cooperative-ITS (C-ITS), as service platforms for smart cities. Considering new service properties, the autonomous cooperation of such vehicles has exhibited novel QoS features that imply new requirements: guaranteeing the traffic efficiency of any emergent vehicle while trying to promote the throughput at an intersection. So, after analyzing the classic reservation-based cooperation mechanisms, new QoS-oriented cooperation methods and policies are studied in this work. Concretely, several models of related traffic objects we have proposed are firstly introduced briefly. Then, the scheduling policies of vehicles approaching an intersection have been presented, including three existing policies (FAFP-SV, FAFP-SQ, and HQEP-SV) and five new polices (FAFP-SQ-SV, FAFP-MQ, HWFP-SQ, HWFP-SQ-SV, HWFP-MQ). These policies combine two major factors: vehicular priority for scheduling and concurrency in traffics. The first one includes the vehicular arrival-time, priority mapped to QoS, and the weight of reserved vehicles on a lane etc. In addition, the second refers to schedule a platoon rather than single vehicle each time, or platoons on different lanes instead of one platoon on only one lane. All these policies have been implemented, and further, verified within the parameter-configurable traffic simulator QoS-CITS (v2.1) we designed and developed with C#. Abundant experiments have been conducted with configured typical traffic scenes, and experimental results show that HWFP-SQ-SV and HWFP-MQ can guarantee both the QoS of emergent vehicles and traffic throughput better than other six policies.