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Relevant bibliographies by topics / Round robin novel

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Academic literature on the topic 'Round robin novel'

Author: Grafiati

Published: 11 December 2022

Last updated: 24 January 2023

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Journal articles on the topic "Round robin novel"

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Shafi, Uferah, Munam Shah, Abdul Wahid, Kamran Abbasi, Qaisar Javaid, Muhammad Asghar, and Muhammad Haider. "A Novel Amended Dynamic Round Robin Scheduling Algorithm for Timeshared Systems." International Arab Journal of Information Technology 17, no. 1 (January 1, 2019): 90–98. http://dx.doi.org/10.34028/iajit/17/1/11.

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Central Processing Unit (CPU) is the most significant resource and its scheduling is one of the main functions of an operating system. In timeshared systems, Round Robin (RR) is most widely used scheduling algorithm. The efficiency of RR algorithm is influenced by the quantum time, if quantum is small, there will be overheads of more context switches and if quantum time is large, then given algorithm will perform as First Come First Served (FCFS) in which there is more risk of starvation. In this paper, a new CPU scheduling algorithm is proposed named as Amended Dynamic Round Robin (ADRR) based on CPU burst time. The primary goal of ADRR is to improve the conventional RR scheduling algorithm using the active quantum time notion. Quantum time is cyclically adjusted based on CPU burst time. We evaluate and compare the performance of our proposed ADRR algorithm based on certain parameters such as, waiting time, turnaround time etc. and compare the performance of our proposed algorithm. Our numerical analysis and simulation results in MATLAB reveals that ADRR outperforms other well-known algorithms such as conventional Round Robin, Improved Round Robin (IRR), Optimum Multilevel Dynamic Round Robin (OMDRR) and Priority Based Round Robin (PRR)

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Rentzsch, Katrin, and Jochen E. Gebauer. "On the Popularity of Agentic and Communal Narcissists: The Tit-for-Tat Hypothesis." Personality and Social Psychology Bulletin 45, no. 9 (February 7, 2019): 1365–77. http://dx.doi.org/10.1177/0146167218824359.

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Among well-acquainted people, those high on agentic narcissism are less popular than those low on agentic narcissism. That popularity-difference figures prominently in the narcissism literature. But why are agentic narcissists less popular? We propose a novel answer―the tit-for-tat hypothesis. It states that agentic narcissists like other people less than non-narcissists do and that others reciprocate by liking agentic narcissists less in return. We also examine whether the tit-for-tat hypothesis generalizes to communal narcissism. A large round-robin study ( N = 474) assessed agentic and communal narcissism (Wave 1) and included two round-robin waves (Waves 2-3). The round-robin waves assessed participants’ liking for all round-robin group members (2,488 informant-reports). The tit-for-tat hypothesis applied to agentic narcissists. It also applied to communal narcissists, albeit in a different way. Compared with non-narcissists, communal narcissists liked other people more and―in return―those others liked communal narcissists more. Our results elaborate on and qualify the thriving literature on narcissists’ popularity.

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Alhaidari, Fahd, and Taghreed Zayed Balharith. "Enhanced Round-Robin Algorithm in the Cloud Computing Environment for Optimal Task Scheduling." Computers 10, no. 5 (May 9, 2021): 63. http://dx.doi.org/10.3390/computers10050063.

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Recently, there has been significant growth in the popularity of cloud computing systems. One of the main issues in building cloud computing systems is task scheduling. It plays a critical role in achieving high-level performance and outstanding throughput by having the greatest benefit from the resources. Therefore, enhancing task scheduling algorithms will enhance the QoS, thus leading to more sustainability of cloud computing systems. This paper introduces a novel technique called the dynamic round-robin heuristic algorithm (DRRHA) by utilizing the round-robin algorithm and tuning its time quantum in a dynamic manner based on the mean of the time quantum. Moreover, we applied the remaining burst time of the task as a factor to decide the continuity of executing the task during the current round. The experimental results obtained using the CloudSim Plus tool showed that the DRRHA significantly outperformed the competition in terms of the average waiting time, turnaround time, and response time compared with several studied algorithms, including IRRVQ, dynamic time slice round-robin, improved RR, and SRDQ algorithms.

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Akram, Junaid, Arsalan Tahir, Hafiz Suliman Munawar, Awais Akram, Abbas Z. Kouzani, and M. A. Parvez Mahmud. "Cloud- and Fog-Integrated Smart Grid Model for Efficient Resource Utilisation." Sensors 21, no. 23 (November 25, 2021): 7846. http://dx.doi.org/10.3390/s21237846.

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The smart grid (SG) is a contemporary electrical network that enhances the network’s performance, reliability, stability, and energy efficiency. The integration of cloud and fog computing with SG can increase its efficiency. The combination of SG with cloud computing enhances resource allocation. To minimise the burden on the Cloud and optimise resource allocation, the concept of fog computing integration with cloud computing is presented. Fog has three essential functionalities: location awareness, low latency, and mobility. We offer a cloud and fog-based architecture for information management in this study. By allocating virtual machines using a load-balancing mechanism, fog computing makes the system more efficient (VMs). We proposed a novel approach based on binary particle swarm optimisation with inertia weight adjusted using simulated annealing. The technique is named BPSOSA. Inertia weight is an important factor in BPSOSA which adjusts the size of the search space for finding the optimal solution. The BPSOSA technique is compared against the round robin, odds algorithm, and ant colony optimisation. In terms of response time, BPSOSA outperforms round robin, odds algorithm, and ant colony optimisation by 53.99 ms, 82.08 ms, and 81.58 ms, respectively. In terms of processing time, BPSOSA outperforms round robin, odds algorithm, and ant colony optimisation by 52.94 ms, 81.20 ms, and 80.56 ms, respectively. Compared to BPSOSA, ant colony optimisation has slightly better cost efficiency, however, the difference is insignificant.

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Nestler, Steffen, Kevin J. Grimm, and Felix D. Schönbrodt. "The Social Consequences and Mechanisms of Personality: How to Analyse Longitudinal Data from Individual, Dyadic, Round–Robin and Network Designs." European Journal of Personality 29, no. 2 (March 2015): 272–95. http://dx.doi.org/10.1002/per.1997.

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There is a growing interest among personality psychologists in the processes underlying the social consequences of personality. To adequately tackle this issue, complex designs and sophisticated mathematical models must be employed. In this article, we describe established and novel statistical approaches to examine social consequences of personality for individual, dyadic and group (round–robin and network) data. Our overview includes response surface analysis (RSA), autoregressive path models and latent growth curve models for individual data; actor–partner interdependence models and dyadic RSAs for dyadic data; and social relations and social network analysis for round–robin and network data. Altogether, our goal is to provide an overview of various analytical approaches, the situations in which each can be employed and a first impression about how to interpret their results. Three demo data sets and scripts show how to implement the approaches in R. Copyright © 2015 European Association of Personality Psychology

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Li, Jianyong, Jianchun Li, Yanhong Liu, Ye Li, Jie Zhang, and Daoying Huang. "Round Robin Tournament Scheduling with Arbitrary Competitors: A Novel Divide and Conquer Approach." Advanced Science Letters 11, no. 1 (May 30, 2012): 408–11. http://dx.doi.org/10.1166/asl.2012.3020.

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Olofintuyi, Sunday Samuel, Temidayo Oluwatosin Omotehinwa, and Joshua Segun Owotogbe. "A SURVEY OF VARIANTS OF ROUND ROBIN CPU SCHEDULING ALGORITHMS." FUDMA JOURNAL OF SCIENCES 4, no. 4 (June 15, 2021): 526–46. http://dx.doi.org/10.33003/fjs-2020-0404-513.

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Quite a number of scheduling algorithms have been implemented in the past, including First Come First Served (FCFS), Shortest Job First (SJF), Priority and Round Robin (RR). However, RR seems better than others because of its impartiality during the usage of its quantum time. Despite this, there is a big challenge with respect to the quantum time to use. This is because when the quantum time is too large, it leads to FCFS, and if the quantum time is too short, it increases the number of switches from the processes. As a result of this, this paper provides a descriptive review of various algorithms that have been implemented in the past 10 years, for various quantum time in order to optimize the performance of CPU utilization. This attempt will open more research areas for researchers, serve as a reference source and articulate various algorithms that have been used in the previous years – and as such, the paper will serve as a guide for future work. This research work further suggests novel hybridization and ensemble of two or more techniques so as to improve CPU performance by decreasing the number of context switch, turnaround time, waiting time and response time and in overall increasing the throughput and CPU utilization.

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Papaphilippou, Philippos, Jiuxi Meng, Nadeen Gebara, and Wayne Luk. "Hipernetch: High-Performance FPGA Network Switch." ACM Transactions on Reconfigurable Technology and Systems 15, no. 1 (March 31, 2022): 1–31. http://dx.doi.org/10.1145/3477054.

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We present Hipernetch, a novel FPGA-based design for performing high-bandwidth network switching. FPGAs have recently become more popular in data centers due to their promising capabilities for a wide range of applications. With the recent surge in transceiver bandwidth, they could further benefit the implementation and refinement of network switches used in data centers. Hipernetch replaces the crossbar with a “combined parallel round-robin arbiter”. Unlike a crossbar, the combined parallel round-robin arbiter is easy to pipeline, and does not require centralised iterative scheduling algorithms that try to fit too many steps in a single or a few FPGA cycles. The result is a network switch implementation on FPGAs operating at a high frequency and with a low port-to-port latency. Our proposed Hipernetch architecture additionally provides a competitive switching performance approaching output-queued crossbar switches. Our implemented Hipernetch designs exhibit a throughput that exceeds 100 Gbps per port for switches of up to 16 ports, reaching an aggregate throughput of around 1.7 Tbps.

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Khalid, Faryal, Peter Davies, Peter Halswell, Nicolas Lacotte, Philipp R. Thies, and Lars Johanning. "Evaluating Mooring Line Test Procedures through the Application of a Round Robin Test Approach." Journal of Marine Science and Engineering 8, no. 6 (June 13, 2020): 436. http://dx.doi.org/10.3390/jmse8060436.

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Innovation in materials and test protocols, as well as physical and numerical investigations, is required to address the technical challenges arising due to the novel application of components from conventional industries to the marine renewable energy (MRE) industry. Synthetic fibre ropes, widely used for offshore station-keeping, have potential application in the MRE industry to reduce peak mooring line loads. This paper presents the results of a physical characterisation study of a novel hybrid polyester-polyolefin rope for MRE mooring applications through a round robin testing (RRT) approach at two test facilities. The RRT was performed using standard guidelines for offshore mooring lines and the results are verified through the numerical modelling of the rope tensile behaviour. The physical testing provides quantifiable margins for the strength and stiffness properties of the hybrid rope, increases confidence in the test protocols and assesses facility-specific influences on test outcomes. The results indicate that the adopted guidance is suitable for rope testing in mooring applications and there is good agreement between stiffness characterisation at both facilities. Additionally, the numerical model provides a satisfactory prediction of the rope tensile behaviour and it can be used for further parametric studies.

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Tahir, M. A., and A. Bouridane. "Novel Round-Robin Tabu Search Algorithm for Prostate Cancer Classification and Diagnosis Using Multispectral Imagery." IEEE Transactions on Information Technology in Biomedicine 10, no. 4 (October 2006): 782–93. http://dx.doi.org/10.1109/titb.2006.879596.

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Dissertations / Theses on the topic "Round robin novel"

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Manisekaran, Pradheep [Verfasser]. "A Novel Approach To Enhance The Performance Of Cloud Computing File System Using Load Balancing Algorithm : A Model To Enhance The Performance Of Cloud Computing File System Using Round Robin Algorithm / Pradheep Manisekaran." München : GRIN Verlag, 2015. http://d-nb.info/1184037043/34.

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HSIN-CHUNG, CHEN, and 陳信仲. "Design Issues of Novel Round Robin Scheduling Scheme to Improve Processing Performance in a 5G mmWave Network." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/3422bg.

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碩士
東吳大學
資訊管理學系
107
Due to mature technologies in cloud computing, and the fast development of sensing devices, IoT applications popularized in recent years have become the main contributors to a drastic increasing in future wireless mobile network data traffic. Compared to 4G LTE, 5G provides higher network traffic and lower packet latency. However, 5G that transmits data to thousands of users at a speed of 10 Gbps still requires proper allocation of mobile network bandwidth resources. When B-RR executes resource allocation on the 5G mmWave network, the problem of inefficiency when the Channel Quality Indicator (CQI) value is nonexistent but data transmission and UE polling continue to take place is likely to be encountered, resulting in network resource loss during UE data transmission. Therefore, a new NRRS was proposed in this paper to improve B-RR and achieve more efficient resource allocation. The NRRS scheduling scheme focuses on the use of a CQI report value as the basis for resource allocation and NOMA UE pairing scheme NRRS and B-RR simulation experiments were carried out to compare their performance. The simulation results of KPIs indicate that the Cell latency can achieve 27%, 11%, 15%, and 13% improvement ratios; Throughput can attain 2%, 41%, 32%, and 30% improvement ratios; and also the Data failure ratio can get 19%, 24%, 33%, and 16% improvement ratios; Data Failure Retransmission can obtain 28%, 18%, 16%, and 22% improvement ratios in 10UEs, 20UEs, 50UEs, and 100UEs, respectively. Preliminary research results have proven that the NRRS scheduling scheme can obtain a lower Cell latency, higher Throughput and lower Data failure ratio, which are highly conducive to allocating better bandwidth resources and more efficient data retransmissions in the 5G mmWave network.

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Books on the topic "Round robin novel"

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Round robin: An Elm Creek Quilts novel. New York: Simon & Schuster, 2000.

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Round robin: An Elm Creek quilts novel. Rockland, MA: Wheeler Pub., 2000.

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Round Robin: An Elm Creek quilts novel. Plume, 2001.

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Round Robin An Elm Creek Quilts Novel. Simon & Schuster, 2009.

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Ruppert, Conrad H., ed. Cosmos. First Fandom Experience, 2019.

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Hamilton, Edmond, Ralph Milne Farley, and E. Hoffman Price. Cosmos. Lulu Press, Inc., 2015.

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Kline, Otis Adelbert, David Henry Keller, Hamilton Edmond, Ralph Milne Farley, Eando Binder, W. John Campbell, E. Hoffman Price, et al. Cosmos. CreateSpace Independent Publishing Platform, 2015.

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Chiaverini, Jennifer. Round Robin (Elm Creek Quilters Novels). Plume, 2001.

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Book chapters on the topic "Round robin novel"

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Rizvi, Syed S., Adil Sheikh, and Aasia Riasat. "Faulty Links Optimization for Hypercube Networks via Stored and Forward One-Bit Round Robin Routing Algorithm." In Novel Algorithms and Techniques in Telecommunications and Networking, 281–86. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3662-9_48.

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Kiran, R. N. D. S. S., Ch Srinivasa Rao, and Manchem Srinivasa Rao. "Mean Interleaved Round Robin Algorithm: A Novel CPU Scheduling Algorithm for Time Sharing Systems." In Advances in Intelligent Systems and Computing, 465–72. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11933-5_51.

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Boopathi, Mythili, Pranav Korde, and Pallav Dey. "Traditional Round Robin CPU Scheduling Algorithm to Prioritize Processes with Residual Burst time Nearest to the Specified time Quantum: An Advanced Approach." In Novel Perspectives of Engineering Research Vol. 5, 1–11. Book Publisher International (a part of SCIENCEDOMAIN International), 2022. http://dx.doi.org/10.9734/bpi/nper/v5/10401d.

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Jayawickreme, Eranda, and Sara Etz Mendonça. "Using Methods from Personality Psychology to Study Post-Traumatic Growth." In Redesigning Research on Post-Traumatic Growth, 73–88. Oxford University Press, 2021. http://dx.doi.org/10.1093/med-psych/9780197507407.003.0005.

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This chapter discusses methodological approaches for examining the causality, accuracy, stability, and mechanisms of short-term adversity-driven change in samples drawn from different populations, each highly likely to be exposed to different forms of challenge and failure. This methodological work builds on Frazier et al.’s (2009) groundbreaking longitudinal study. The authors discuss the advantages of using longitudinal multimethod measurement burst designs and a profile approach utilizing a round-robin design, as well as a qualitative assessment. Each methodology promises to address novel questions concerning the perception, meta-perception, and development of character following challenge and failure. The chapter also examines individual difference factors, such as social support and cumulative life adversity, which may moderate this relationship. Given that participants from different populations likely differ in the amount of cumulative adversity they have experienced, the authors also examine the possibilities and limitations of lifetime adversity in acting as a catalyst for subsequent growth.

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Conference papers on the topic "Round robin novel"

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Zhou, Mansuo, Sheng Zhang, and Xiaoxiong Zhong. "A novel dynamic priority round robin polling scheme for Bluetooth piconet." In 2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2017. http://dx.doi.org/10.1109/icsess.2017.8343054.

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Yu, Hao. "A Novel Round-Robin Based Multicast Scheduling Algorithm for 100 Gigabit Ethernet Switches." In IEEE INFOCOM 2010 - IEEE Conference on Computer Communications Workshops. IEEE, 2010. http://dx.doi.org/10.1109/infcomw.2010.5466651.

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Ullah, W., and M. A. Shah. "A novel resilent round robin algorithm based CPU scheduling for efficient CPU utlilization." In Competitive Advantage in the Digital Economy (CADE 2022). Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.2038.

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Hani, Umme, K. K. Samota, and S. K. Singh. "A Novel Technique of Improving 5G Networks with Round Robin Scheduling in Preamble Transmission." In 2018 Second International Conference on Advances in Computing, Control and Communication Technology (IAC3T). IEEE, 2018. http://dx.doi.org/10.1109/iac3t.2018.8674018.

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Peng, Li-Mei, Bing-Bing Li, Won-Hyuk Yang, Young-Chon Kim, and Xin-Wan Li. "Novel Queue-Grouping Based Round-Robin Protocols for Reducing Collision of OBS Ring Networks." In 2009 Fifth International Conference on Networking and Services. IEEE, 2009. http://dx.doi.org/10.1109/icns.2009.45.

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"A Novel Approach to Enhance Performance of Round Robin CPU Scheduling Applying Dynamic CPU Slice." In 4th International Conference on Advances in Engineering Sciences and Applied Mathematics. International Institute of Engineers, 2015. http://dx.doi.org/10.15242/iie.e1215017.

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Mawlod, Arwa, Afzal Memon, and John Nighswander. "Accuracy and Precision of Reservoir Fluid Characterization Tests Through Blind Round-Robin Testing." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207749-ms.

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Abstract Objectives/Scope: Oil and gas operators use a variety of reservoir engineering workflows in addition to the reservoir, production, and surface facility simulation tools to quantify reserves and complete field development planning activities. Reservoir fluid property data and models are fundamental input to all these workflows. Thus, it is important to understand the propagation of uncertainty in these various workflows arising from laboratory fluid property measured data and corresponding model uncertainty. The first step in understanding the impact of laboratory data uncertainty was to measure it, and as result, ADNOC Onshore undertook a detailed study to assess the performance of four selected reservoir fluid laboratories. The selected laboratories were evaluated using a blind round-robin study on stock tank liquid density and molar mass measurements, reservoir fluid flashed gas and flashed liquid C30+ reservoir composition gas chromatography measurements, and Constant Mass Expansion (CME) Pressure-Volume-Temperature (PVT) measurements using a variety of selected reservoir and pure components test fluids. Upon completion of the analytical study and establishing a range of measurement uncertainty, a sensitivity analysis study was completed using an equation of state (EoS) model to study the impact of reservoir fluid composition and molecular weight measurement uncertainty on EoS model predictions. Methods, Procedures, Process: A blind round test was designed and administered to assess the performance of the four laboratories. Strict confidentiality was maintained to conceal the identity of samples through blind test protocols. The round-robin tests were also witnessed by the researchers. The EoS sensitivity study was completed using the Peng Robinson EoS and a commercially available software package. Results, Observations, Conclusions: The results of the fully blind reservoir fluid laboratory tests along with the statistical analysis of uncertainties will be presented in this paper. One of the laboratories had a systemic deviation in the measured plus fraction composition on black oil reference standard samples. The plus fraction concentration is typically the largest weight percent component in black oil systems and, along with the plus fraction molar mass, plays a crucial role in establishing the mole percent overall reservoir fluid compositions. Another laboratory had systemic issues related to chromatogram component integration errors that resulted in inconsistent carbon number concentration trends for various components. All laboratories failed to produce consistent molecular weight measurements for the reference samples. Finally, one laboratory had a relative deviation for P-V measurements that were significantly outside the acceptable range. The EoS sensitivity study demonstrates that the fluid composition and stock tank oil molar mass measurements have a significant impact on EoS model predictions and hence the reservoir/production models input when all other parameters are fixed. Novel/Additive Information: To the best of our knowledge, this is the first time such an extensive and fully blind round-robin test of commercial reservoir fluid characterization laboratories has been completed and published in the open literature. The industry should greatly benefit from this first-of-its-kind blind round-robin dataset being made available to all. The study provides the basis, protocols, expectations, and recommendations for such independent round-robin testing for fluid characterization laboratories on a broader scale.

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Yang, Shin-Jer, and Hsin-Chung Chen. "Design Issues of Novel Round Robin Scheduling Scheme to Improve Processing Performance in a 5G MMWave Network." In 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2018. http://dx.doi.org/10.1109/padsw.2018.8645030.

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Meyer, Ryan M., Aimee E. Holmes, Romarie Morales, Iikka Virkkunen, Thiago Seuaciuc-Osorio, and Bruce Lin. "Results of a Virtual Round Robin Study to Estimate Probability of Detection for Dissimilar Metal Welds." In 2021 48th Annual Review of Progress in Quantitative Nondestructive Evaluation. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/qnde2021-75055.

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Abstract This paper presents efforts to overcome challenges with empirical probability of detection (POD) estimations in the nuclear power industry through the utilization of a novel virtual flaw method. A virtual round robin (VRR) study was conducted under the Program for Investigation Of NDE by International Collaboration (PIONIC), organized by the United States Nuclear Regulatory Commission (NRC) utilizing data generated by the virtual flaw method. Analysis of results from the VRR was performed by teams from Pacific Northwest National Laboratory (PNNL), Electric Power Research Institute (EPRI), and Aalto University. Empirically derived POD estimations are presented, and challenges associated with obtaining these estimations are discussed. The virtual flaw method is introduced and some details of its implementation for the VRR activity are described. Results from POD analysis of the VRR data by PNNL, EPRI, and Aalto University are presented and a discussion regarding differences in analysis results is provided. Finally, potential future efforts to improve the application of the virtual flaw method and its estimation of POD are discussed.

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Nakajo, Yusuke, and Hiroaki Nishi. "Temperature-Based Request Distribution for Effective CRAC and Equipment Life-Cycle Extension." In ASME 2017 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems collocated with the ASME 2017 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/ipack2017-74341.

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With the growth of Internet-based services, data centers must deal with increasing data traffic. Load-balancing technologies can help data centers process data effectively and stably; however, the current load-balancing methods do not take into account the heat generated by servers. Excessive heat can increase the failure rate of IT devices and the energy consumption of air conditioning systems, both of which lead to higher data center maintenance costs. This paper aims to simultaneously increase the coefficient of performance (COP) of the data center’s air-conditioning equipment and decrease the semiconductor-based equipment failure rate. To do so — and, consequently, reduce the operation and maintenance costs — we propose a novel request distribution system based on server-temperature and evaluate the proposed system by creating a thermal model of a data center. As a result, it is suggested that using the proposed load-balancing method the semiconductor failure rate can be reduced by 32 % when compared with the common round-robin distribution method, and by 19 % when compared with a load-balancing method based on CPU utilization. Moreover, the COP of the air-conditioning equipment obtained with the proposed method is recognized to be higher than those obtained with either the round-robin or the CPU-utilization-based methods.

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