Journal articles: 'Adaptive mobile services'

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Pakkala, Daniel, and Juhani Latvakoski. "Distributed service platform for adaptive mobile services." International Journal of Pervasive Computing and Communications 2, no. 2 (May 2007): 135–48. http://dx.doi.org/10.1108/17427370780000148.

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Lentisco, Carlos M., Luis Bellido, and Encarna Pastor. "Seamless Mobile Multimedia Broadcasting Using Adaptive Error Recovery." Mobile Information Systems 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/1847538.

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Multimedia services over mobile networks present several challenges, such as ensuring a reliable delivery of multimedia content, avoiding undesired service disruptions, or reducing service latency. HTTP adaptive streaming addresses these problems for multimedia unicast services, but it is not efficient from the point of view of radio resource consumption. In Long-Term Evolution (LTE) networks, multimedia broadcast services are provided over a common radio channel using a combination of forward error correction and unicast error recovery techniques at the application level. This paper discusses how to avoid service disruptions and reduce service latency for LTE multimedia broadcast services by adding dynamic adaptation capabilities to the unicast error recovery process. The proposed solution provides a seamless mobile multimedia broadcasting without compromising the quality of the service perceived by the users.

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Luo, Yuan Jun. "Adaptive Mobility Management Framework Using Active Proxy Node." Advanced Materials Research 1006-1007 (August 2014): 530–33. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.530.

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In mobile computing, mobility management is a fundamental issue. The substance of mobility management are proxy and forwarding based model to achieve, the difference of a variety of technologies are the choice which proxy and forwarding entity is chosen and what strategy to implement proxy and forwarding services. The paper propose a basic framework based on mobile agent technology forwarding proxy migration, combined with a mechanism for automatic proxy service deployment for mobile environments by using active network nodes, collaborative support to complete the optimization proxy services, which has a unique advantage of dynamic execution, reducing the switching overhead, improving efficiency of the system and showing good applied characteristics.

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Pu, Haitao, Jinjiao Lin, Yanwei Song, and Fasheng Liu. "Adaptive Device Context Based Mobile Learning Systems." International Journal of Distance Education Technologies 9, no. 1 (January 2011): 44–56. http://dx.doi.org/10.4018/jdet.2011010103.

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Mobile learning is e-learning delivered through mobile computing devices, which represents the next stage of computer-aided, multi-media based learning. Therefore, mobile learning is transforming the way of traditional education. However, as most current e-learning systems and their contents are not suitable for mobile devices, an approach for mobile devices to adapt to e-learning is presented. To provide device-independence mobile learning services, a context-aware mobile learning approach is proposed. Firstly, the formal definitions of contexts and their influence on mobile learning services, including device contexts NCxt, matrix of information transmission parameters S, the degree of influence of the context NCxt on information transmission parameters Q, and adaptation coefficient E, are given. By using this approach, the mobile learning system is constructed. In an example using this approach, the authors detect the contextual environment of mobile computing and adapt the mobile learning services to the learners’ devices automatically.

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Siu Nam Chuang, A. T. S. Chan, Jiannong Cao, and R. Cheung. "Actively deployable mobile services for adaptive web access." IEEE Internet Computing 8, no. 2 (March 2004): 26–33. http://dx.doi.org/10.1109/mic.2004.1273483.

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Zipf, Alexander, and Matthias Jöst. "Implementing adaptive mobile GI services based on ontologies." Computers, Environment and Urban Systems 30, no. 6 (November 2006): 784–98. http://dx.doi.org/10.1016/j.compenvurbsys.2006.02.005.

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Park, KwangJin, MoonBae Song, and Chong-Sun Hwang. "Adaptive data dissemination schemes for location-aware mobile services." Journal of Systems and Software 79, no. 5 (May 2006): 674–88. http://dx.doi.org/10.1016/j.jss.2005.08.005.

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Lufei, Hanping, Weisong Shi, and Vipin Chaudhary. "Adaptive Secure Access to Remote Services in Mobile Environments." IEEE Transactions on Services Computing 1, no. 1 (January 2008): 49–61. http://dx.doi.org/10.1109/tsc.2008.4.

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Xiao, Yang, Haizhon Li, C. L. Philip Chen, Bin Wang, and Yi Pan. "Proportional degradation services in wireless/mobile adaptive multimedia networks." Wireless Communications and Mobile Computing 5, no. 2 (2005): 219–43. http://dx.doi.org/10.1002/wcm.211.

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Horng, Gwo-Jiun, Chi-Hsuan Wang, and Chih-Lun Chou. "Adaptive Broadcasting Mechanism for Bandwidth Allocation in Mobile Services." Scientific World Journal 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/735457.

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This paper proposes a tree-based adaptive broadcasting (TAB) algorithm for data dissemination to improve data access efficiency. The proposed TAB algorithm first constructs a broadcast tree to determine the broadcast frequency of each data and splits the broadcast tree into some broadcast wood to generate the broadcast program. In addition, this paper develops an analytical model to derive the mean access latency of the generated broadcast program. In light of the derived results, both the index channel’s bandwidth and the data channel’s bandwidth can be optimally allocated to maximize bandwidth utilization. This paper presents experiments to help evaluate the effectiveness of the proposed strategy. From the experimental results, it can be seen that the proposed mechanism is feasible in practice.

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Gonsalves, Gregg S., Forrest W. Crawford, Paul D. Cleary, Edward H. Kaplan, and A. David Paltiel. "An Adaptive Approach to Locating Mobile HIV Testing Services." Medical Decision Making 38, no. 2 (July 12, 2017): 262–72. http://dx.doi.org/10.1177/0272989x17716431.

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Feng, Jiangfan, and Yanhong Liu. "Intelligent Context-Aware and Adaptive Interface for Mobile LBS." Computational Intelligence and Neuroscience 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/489793.

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Context-aware user interface plays an important role in many human-computer Interaction tasks of location based services. Although spatial models for context-aware systems have been studied extensively, how to locate specific spatial information for users is still not well resolved, which is important in the mobile environment where location based services users are impeded by device limitations. Better context-aware human-computer interaction models of mobile location based services are needed not just to predict performance outcomes, such as whether people will be able to find the information needed to complete a human-computer interaction task, but to understand human processes that interact in spatial query, which will in turn inform the detailed design of better user interfaces in mobile location based services. In this study, a context-aware adaptive model for mobile location based services interface is proposed, which contains three major sections: purpose, adjustment, and adaptation. Based on this model we try to describe the process of user operation and interface adaptation clearly through the dynamic interaction between users and the interface. Then we show how the model applies users’ demands in a complicated environment and suggested the feasibility by the experimental results.

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Muasa, Lilian, and Hirotaka Matsuda. "Mobile Based Agriculture and Climate Services Impact on Farming Households in Rural Kenya." Journal of Sustainable Development 12, no. 2 (March 30, 2019): 1. http://dx.doi.org/10.5539/jsd.v12n2p1.

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Rural farming households in semi-arid regions in Kenya are vulnerable to climate change impacts due to overreliance on rain fed agriculture and low adaptive capacity. Farming households’ adaptive capacity development is detrimental to enable them cope with short and long term impacts. Information Communication and Technology (ICTS) play an essential role in adaptive capacity development by ensuring access to information and knowledge related to agriculture and climate. The mobile phone is one of dominant ICT tool with wider ownership and promising technology for information accessibility. The increasing mobile penetration rate in Kenya has initiated the development of a wide range of agricultural related mobile phone services and applications targeting rural households to increase their agricultural productivity and strengthen their adaptive capacity in the face of climate change. This study examines households use and benefit from the developed mobile phone services and applications to access information related to agriculture and climate change. Using data of 120 households’ multinomial probit analysis is applied to identify factors that determine the adoption of the mobile phone. Findings reveled that through developed mobile phone services and applications, Kenyan rural households are able to access; mobile money banking, extension services, obtain credit, agriculture information, weather information and market information. Access to these services increases household capacity and reduce information asymmetry. Feature phone and smart phones are the types of mobile phone used across households. Multinomial probit analysis elicits that probability of feature phone adoption increases with a decrease in household income while that of smart phone increases on male headed households, increases with an increase in household income and accessibility to credit.

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Sangeethan.Y, Saravanan.S, Thiyagarajan.M, Sugumaran.V.R. "Modeling Dynamics of Video Request Routing in Mobile Networks using Adaptive Scheme." International Journal on Recent and Innovation Trends in Computing and Communication 7, no. 3 (March 12, 2019): 01–03. http://dx.doi.org/10.17762/ijritcc.v7i3.5239.

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3G and 4G equipment development has melodramatically increasing the mobile internet in the recent years. The devices like laptops, cellular mobiles and tablets using the mobile broadband internet like rise steeply. The most popular mobile presentation is the video streaming in the application of hypermedia. In a cost effective way, the big challenge is the quality to make obtainable these services to users. The above task is achievable by means of emerging the LTE (Long Term Evolution) in the world of mobile. With low latency and high data rates in the applications of multimedia the effective services is provided by the LTE equipment features. In this paper, we study and analyze the Quality of Experience (QoE) at the end user for Video on Demand (VoD) over the LTE network. To achieve this, we streamed High Definition (HD) videos based on H.264/AVC and these videos are delivered from foundation to destination using Transport Control Protocol (TCP) and User Datagram Protocol (UDP). Specifically, our study is about QoEassessment in terms of delay variation, packet loss metrics and provides performance assessment to characterize the impact of conveyance layer protocol in video streaming over radio systems like LTE.

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Passini, William Filisbino, and Frank José Affonso. "Developing Self-Adaptive Service-Oriented Mobile Applications: A Framework Based on Dynamic Deployment." International Journal of Software Engineering and Knowledge Engineering 28, no. 11n12 (November 2018): 1537–58. http://dx.doi.org/10.1142/s0218194018400168.

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Today’s society is increasingly dependent on the use of mobile or smart devices (e.g. smartphones, tablets, hybrid devices, smart-TVs, smart-watches, among others), which have changed over these last 10 years the way people perform their daily tasks. In parallel, Internet of Things (IoT) systems have played a prominent position in this scenario, since they enable to exchange information among different types of devices and services (e.g. physical devices, vehicles, home appliances, sensors, among others). This scenario has boosted the demand for development of high-quality Mobile Applications (MobApps), which can be pre-installed on such devices during manufacturing platforms, or delivered as applications by the mobile stores or third parties. According to [1–3], mobile devices have some physical limitations (e.g. processing and storage) compared to personal computers. Thus, service-oriented MobApps have been a feasible alternative to overcome such limitations, improving the efficiency of the development life cycle of these applications with adoption of third-party components (e.g. software components, web services, and other mobile applications). In another perspective, it is also been noted a change in the user behavior of MobApps, which demand applications capable of operating in adverse conditions, maintaining their integrity of execution. Considering the relevance of such applications, this paper reports the extension of a framework to support the development of Self-adaptive Services-oriented MobApps (Self-MobApps), which enables modification of services at runtime [4] by means of a deployment dynamic approach. To show the feasibility of our framework, a case study for a smart restaurant was conducted in a mobile environment. The results of this study enable us to create a positive perspective on the contribution of our framework to the research communities involved.

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Romsaiyud, Walisa, and Wichian Premchaiswadi. "Adaptive Multi-Services System for Maternal and Child Health Care on Mobile Application (AM-Care)." International Journal of Healthcare Information Systems and Informatics 5, no. 3 (July 2010): 27–43. http://dx.doi.org/10.4018/jhisi.2010070103.

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Addressing efforts towards the improvement of maternal and child health management can often prove to be problematic in context to successfully obtaining healthcare and medical treatment information from health care professionals. In this regard, the authors propose an adaptive multi-service system that contains fully integrated health care services, medical treatment services, and maternal and child health management. The system utilized both web-based and mobile technology for implementing the application. A practical framework for generating individual maternal and child health care is also presented from data repositories and fully integrated functional health care services to support an improved quality of life for both mother and children. The application, namely AM-Care, consists of the three main components, i.e., Control Centre Component, Web-based Components, and Mobile Components. Also, AM-Care has the important add-on features such as emergency services and warning services.

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Eom, Boyun, Choonhwa Lee, Hyunwoo Lee, and Won Ryu. "An adaptive remote display scheme to deliver mobile cloud services." IEEE Transactions on Consumer Electronics 60, no. 3 (August 2014): 540–47. http://dx.doi.org/10.1109/tce.2014.6937341.

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Min Tian, H. Ritter, J. H. Schiller, and T. Voigt. "Adaptive QoS for mobile Web services through cross-layer communication." Computer 40, no. 2 (February 2007): 59–63. http://dx.doi.org/10.1109/mc.2007.41.

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Sakkopoulos, E., M. Lytras, and A. Tsakalidis. "Adaptive Mobile Web Services Facilitate Communication and Learning Internet Technologies." IEEE Transactions on Education 49, no. 2 (May 2006): 208–15. http://dx.doi.org/10.1109/te.2006.873985.

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Wei, Qunyi, and Yang Yang. "WeChat Library: a new mode of mobile library service." Electronic Library 35, no. 1 (February 6, 2017): 198–208. http://dx.doi.org/10.1108/el-12-2015-0248.

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Purpose This study aims to introduce a new mode of mobile library service, named “WeChat Library”, developed under the WeChat (social media platform) public service platform. The design and realization of WeChat Library is also presented with Chongqing University Library taken as the example. Design/methodology/approach This study designed a new mobile library service system, WeChat Library of Chongqing University Library, analyzed its construction cost and usage statistics and discussed the advantages of the new service mode. Findings Investigation results showed that 84.6 per cent of the “985” universities opened up WeChat Libraries, which signified that WeChat Library has become one of the important mobile service modes for Chinese university libraries. WeChat Library received high appreciation from the patrons; in 20 months of operation, 20.3 per cent of patrons in Chongqing University had used WeChat Library. The five most commonly used services are OPAC retrieval, items borrowed, personal center, resource discovery and announcements. WeChat Library was found to have many advantages, such as low development cost, automatic cross-platform service, adaptive screen, low acceptance cost, easier promotion, strong user viscosity, strong interactivity and real-time consulting. Practical implications The functional design and technological architecture of WeChat Library was presented with Chongqing University Library taken as the example. The technical realization of several unique services, namely, QR code access, space reservation and overdue reminders, was also demonstrated. The study will provide favorable suggestions and references for other libraries that have also launched the WeChat Library. Originality/value The mainstream service mode of mobile libraries is application for mobile terminals (APP). Although mobile services are applied extensively in China, numerous small- and medium-sized libraries are still unable to provide mobile services for patrons primarily because the investment is too high to bear for some libraries. Therefore, mobile library services urgently need a more economical model of mobile services. The most prominent advantages of WeChat Library are its low development cost and low technology threshold. WeChat Library can provide a better solution for mobile library services.

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Kazzaz, M. Mohanned, and Marek Rychlý. "A Case Study." International Journal of Systems and Service-Oriented Engineering 8, no. 1 (January 2018): 44–57. http://dx.doi.org/10.4018/ijssoe.2018010103.

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This article provides a proof-of-concept of the applicability and reusability of the authors proposed framework for web service migration through a traffic jam detection case study. The framework migrates mobile hosted web services between mobile vehicles using context-aware self-adaptive mechanism in order to guarantee service availability and quality. A decision-making process is implemented to select the best destination vehicle from between the found possible migrations based on prioritized criteria set.

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Zadahmad, Manouchehr, and Parisa Yousefzadehfard. "Agile Development of Various Computational Power Adaptive Web-Based Mobile-Learning Software Using Mobile Cloud Computing." International Journal of Web-Based Learning and Teaching Technologies 11, no. 2 (April 2016): 61–72. http://dx.doi.org/10.4018/ijwltt.2016040104.

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Mobile Cloud Computing (MCC) aims to improve all mobile applications such as m-learning systems. This study presents an innovative method to use web technology and software engineering's best practices to provide m-learning functionalities hosted in a MCC-learning system as service. Components hosted by MCC are used to empower developers to create m-learning systems in agile manner. The developed m-learning systems -as tenants of MCC-learning- provide cloud-quality services to their clients. The solution is a service-oriented and three-layered MCC system encompassing innovative m-learning components. To adapt e-contents sent to clients, a Device-Adaptive-Rendering component is used which takes platform, capability, physical and other contextual diversities of mobile devices into account. Using MCC increases the development speed and decreases the Lines Of Code (LOC) to build m-learning systems. Experiment outcomes demonstrate improvement in time taken by learners to answer the learning task questions and accuracy rates.

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Kostiuk, Mykhailo. "INFRASTRUCTURE DESIGN OF THE SERVER PART OF THE ADAPTIVE MOBILE EDUCATIONAL ENVIRONMENT." Management of Development of Complex Systems, no. 44 (November 30, 2020): 84–90. http://dx.doi.org/10.32347/2412-9933.2020.44.84-90.

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The articles consider the main approaches for improving the personalization of education in higher education institutions using adaptive educational systems based on information technology. The advantages and efficiency of the adaptive educational system with the use of modern information technologies are emphasized. The general scheme of construction of adaptive mobile educational environment by means of Internet technologies is developed, which has a certain functional structure - a set of functional algorithms that provide user interaction with the system that determines the use and role in the system and internal logic of data blocks. Listening to the functional requirements for creating an adaptive mobile educational environment, 4 main types of users (roles) of systems are identified and previous members of the system are analyzed. The system of distribution of users which is constructed on the principle of hierarchical structure is offered. It is likely that the GRPC communication protocol is required to ensure the highest communication speed for synchronous HTTP requests between servers. Pay attention to the development of server parts of the adaptive mobile educational environment on the correct deployment of services, with each request by ensuring the security of data access control system through service authentication and authorization. The administrative part of the adaptive mobile educational environment is described, the service of which should be as much as possible protected from external attacks. Of particular importance is the servers that deploy the most similar data. Find more data from the server part of the mobile educational environment for creating relational databases based on MS SQL Server, as well as a documentary database based on MongoDB. Considering the capabilities of the hosting environment, a generalized scheme of deployment of backend services of adaptive mobile environment is built. As a result of designing the internal structure of systems, there are basics of relatively known and prescribed algorithms, which indicate that the infrastructure scheme is based on three main algorithms, namely: the algorithm of authentication and authorization; algorithms for interaction with the file system (storage and retrieval of medical data); algorithms for downloading and analyzing completed tasks.

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VASUDEVAN, VENU, and SEAN LANDIS. "MALLEABLE SERVICES." International Journal of Software Engineering and Knowledge Engineering 11, no. 04 (August 2001): 389–406. http://dx.doi.org/10.1142/s0218194001000621.

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Deploying distributed services over a complex network topology presents a challenge: one of mapping the objects to locations in an optimal manner. This mapping needs to be dynamic, taking current network conditions into consideration. Remapping services is manual-intensive, requires operator effort and may result in service downtime. The Mojave project described here investigates an architecture for implementing malleable (auto-configuring) services using reactive and mobile agents. In contrast to past efforts, Mojave views agents as a wrapper technology implemented over a Jini/tuplespace-based architecture. The paper describes the Mojave architecture and implementation, experiences in building an adaptive systems manager application, and benefits of the Mojave architecture for thin-client computing.

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BEN-OTHMAN, JALEL, LYNDA MOKDAD, and SOUHEILA BOUAM. "AMCLM: ADAPTIVE MULTI-SERVICES CROSS-LAYER MAC PROTOCOL FOR IEEE 802.11 NETWORKS." Journal of Interconnection Networks 10, no. 04 (December 2009): 283–301. http://dx.doi.org/10.1142/s0219265909002583.

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In wireless networks, the radio link vulnerability attributed to effects such as noise, interference, free-space loss, shadowing and multipath fading, must be considered. MAC protocols developed for these networks do not take into account these perturbations. It was shown, in the literature, that 802.11 suffers from what is called 'the 802.11 anomaly'. This anomaly concerns two aspects: all nodes throughput, in a 802.11 network, falls to the worst one of all nodes and the bandwidth will be divided by the number of the mobile nodes of the network. In order to improve the quality of service of a BSS (Basic Service Set) and to solve 802.11 anomaly, Cross-layer approaches are developed. These approaches are especially based on information given by the Physical layer. In this study we propose a new cross-layer scheme: AMCLM (Adaptive Multi-services Cross-Layer MAC). The goal of this protocol is to improve the Quality-of-Service (QoS) of Mobile Nodes (MNs) connected in a BSS by a temporary disassociation of the ones for which the SNR (Signal to Noise Ratio) is under a defined threshold. In this way, the network's throughput is improved. Our approach aims to improve global networks QoS by unselfishness decisions of nodes. In order to show the benefit of our method, a performance evaluation of this protocol has been made. We have built the discrete Markov Chain associated to the behavior of AMCLM protocol to analyze the throughput of mobile nodes connected to the BSS.

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Asha, Asha, and G. Mahadevan. "An Adaptive Cross-Layer Architecture to Optimize QoS Provisioning in MANET." Indonesian Journal of Electrical Engineering and Computer Science 6, no. 1 (April 1, 2017): 16. http://dx.doi.org/10.11591/ijeecs.v6.i1.pp16-25.

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Mobile Ad Hoc Network (MANET) is a collection of mobile nodes, which dynamically form a temporary network, without using any infrastructure like wireless access points or base-stations. The provision of QoS guarantees is much more challenging in Mobile Ad hoc Networks. There are many interesting applications such as multimedia services, disaster recovery etc can be supported if Quality-of-Service (QoS) support can be provided for MANETs. But QoS provisioning in MANETs is a very challenging problem when compared to wired IP networks. This is because of unpredictable node mobility, wireless multi-hop communication, contention for wireless channel access, limited battery power and range of mobile devices as well as the absence of a central coordination authority. So, the design of an efficient and reliable routing scheme providing QoS support for such applications is a difficult task. In this paper we studied the challenges and approaches for QoS aware routing techniques.

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Azeemi, Naeem Z., Omar al Basheer, Sharmini Enoch, M. A. Habli, Meraj Naem, and Ghassan Al Utaibi. "Adaptive Customer-In-Loop Supply Chain Management For 5G Migration." GIS Business 14, no. 6 (December 5, 2019): 850–66. http://dx.doi.org/10.26643/gis.v14i6.15259.

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Despite the ever exploiting benefits in Fourth Generation (4G) Telecom such as e-Life from Etisalat-UAE, vendors’ economical limitation for providing high quality streaming services in limited bandwidth and coverage expectation cannot be ignored. A unique systems support involving the Customer Relationship, Resource Planning, and Supply Chains exist in both Mobile Service Providers and Mobile Equipment Providers. Despite its complexity, the operational objectives of SCM planning may vary greatly from MSP to MSP and MEP to MEP, hence is the main objective for our work presented here. In this paper, we explore the strategic, technical and operational indicators, while migrating legacy 4G MSP deployments into 5G to conform the e-governess needs.

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De Rango, F., P. Fazio, and S. Marano. "Utility-Based Predictive Services for Adaptive Wireless Networks With Mobile Hosts." IEEE Transactions on Vehicular Technology 58, no. 3 (March 2009): 1415–28. http://dx.doi.org/10.1109/tvt.2008.924989.

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Lin, Yu-Ting, Thomas Bonald, and Salah Eddine Elayoubi. "Flow-level traffic model for adaptive streaming services in mobile networks." Computer Networks 137 (June 2018): 1–16. http://dx.doi.org/10.1016/j.comnet.2018.01.027.

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Kim, Taekook, and Eui-Jik Kim. "View pattern-based adaptive streaming strategy for mobile content delivery services." Multimedia Tools and Applications 75, no. 20 (November 21, 2015): 12693–704. http://dx.doi.org/10.1007/s11042-015-3077-4.

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Nawrocki, Piotr, and Bartlomiej Sniezynski. "Adaptive Context-Aware Energy Optimization for Services on Mobile Devices with Use of Machine Learning." Wireless Personal Communications 115, no. 3 (August 13, 2020): 1839–67. http://dx.doi.org/10.1007/s11277-020-07657-9.

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AbstractIn this paper we present an original adaptive task scheduling system, which optimizes the energy consumption of mobile devices using machine learning mechanisms and context information. The system learns how to allocate resources appropriately: how to schedule services/tasks optimally between the device and the cloud, which is especially important in mobile systems. Decisions are made taking the context into account (e.g. network connection type, location, potential time and cost of executing the application or service). In this study, a supervised learning agent architecture and service selection algorithm are proposed to solve this problem. Adaptation is performed online, on a mobile device. Information about the context, task description, the decision made and its results such as power consumption are stored and constitute training data for a supervised learning algorithm, which updates the knowledge used to determine the optimal location for the execution of a given type of task. To verify the solution proposed, appropriate software has been developed and a series of experiments have been conducted. Results show that as a result of the experience gathered and the learning process performed, the decision module has become more efficient in assigning the task to either the mobile device or cloud resources.

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Durresi, Arjan, Ping Zhang, Mimoza Durresi, and Leonard Barolli. "Architecture for Mobile Heterogeneous Multi Domain Networks." Mobile Information Systems 6, no. 1 (2010): 49–63. http://dx.doi.org/10.1155/2010/907109.

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Multi domain networks can be used in several scenarios including military, enterprize networks, emergency networks and many other cases. In such networks, each domain might be under its own administration. Therefore, the cooperation among domains is conditioned by individual domain policies regarding sharing information, such as network topology, connectivity, mobility, security, various service availability and so on. We propose a new architecture for Heterogeneous Multi Domain (HMD) networks, in which one the operations are subject to specific domain policies. We propose a hierarchical architecture, with an infrastructure of gateways at highest-control level that enables policy based interconnection, mobility and other services among domains. Gateways are responsible for translation among different communication protocols, including routing, signalling, and security. Besides the architecture, we discuss in more details the mobility and adaptive capacity of services in HMD. We discuss the HMD scalability and other advantages compared to existing architectural and mobility solutions. Furthermore, we analyze the dynamic availability at the control level of the hierarchy.

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Setyono, Andik, Hanny Haryanto, and Erna Zuni Astuti. "An Adaptive Web-based Framework for Mobile Telemonitoring System." International Journal of Interactive Mobile Technologies (iJIM) 11, no. 1 (January 31, 2017): 40. http://dx.doi.org/10.3991/ijim.v11i1.6031.

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Mobile long distance monitoring system using web-based will be deliberated as one of the primary industry in the near future. This paper focuses on the development of the healthcare service for telemonitoring system using an adaptive web-based framework with several parameters at the same time. The proposed system is used to make easy the patient and physician for accessing healthcare system. It tries to combine many functions in healthcare services for long distance monitoring system. Physiological parameters are used such as blood pressure, blood sugar, respiration, heartbeat, pulse, temperature will be received by the system then it is sent to the clinic server immediately. All of these parameters can be inputted by patients themselves while the patients are far from the clinical environment and forward to the physician for further diagnosis and medical treatment. The advantages of the proposed system are the patient will be easy to access the system through internet and easy to connect the physician from a remote area. Smartphone with multimedia features and internet connection in mobile environment can be used to perform mobile computing anywhere and anytime. It keeps real-time recording and monitoring of physiology parameters of the patients at lowest cost and at home. The physiology parameters of patient are increased to be multimedia data. By using the good quality of the multimedia data, the physician will be more precise to perform diagnosis and medical treatment to the patient. The proposed framework can be used to develop a practical web-based mobile telemonitoring system in mobile environment.

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Kharma, Qasem, Nidal M. Turab, Qusai Shambour, and Mohammad Hassan. "Secure Cloud-Mediator Architecture for Mobile-Government using RBAC and DUKPT." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 04 (March 12, 2020): 44. http://dx.doi.org/10.3991/ijim.v14i04.11075.

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Smart mobile devices and cloud computing are widely used today. While mobile and portable devices have different capabilities, architectures, operating systems, and communication channels than one another, government data are distributed over heterogeneous systems. This paper proposes a 3-tier mediation framework providing single application to manage all governmental services. The framework is based on private cloud computing for adapting the content of Mobile-Government (M-Government) services using Role-Based Access Control (RBAC) and Derive Unique Key Per Transaction (DUKPT). The 3-layers in the framework are: presence, integration, and homogenization. The presence layer is responsible for adapting the content with regard to four contexts: device, personal, location, and connectivity contexts. The integration layer, which is hosted in a private cloud server, is responsible for integrating heterogeneous data sources. The homogenization layer is responsible for converting data into XML format. The flexibility of the mediation and XML provides an adaptive environment to stream data based on the capabilities of the device that sends the query to the system.

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Jeon, Yong-Hun, and Sung-Jo Kim. "Adaptive Error Control Scheme for Supporting Multimedia Services on Mobile Computing Environment." KIPS Transactions:PartC 13C, no. 2 (April 1, 2006): 241–48. http://dx.doi.org/10.3745/kipstc.2006.13c.2.241.

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Kang, Kyungtae. "An Adaptive Framework for Real-Time ECG Transmission in Mobile Environments." Scientific World Journal 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/678309.

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Wireless electrocardiogram (ECG) monitoring involves the measurement of ECG signals and their timely transmission over wireless networks to remote healthcare professionals. However, fluctuations in wireless channel conditions pose quality-of-service challenges for real-time ECG monitoring services in a mobile environment. We present an adaptive framework for layered coding and transmission of ECG data that can cope with a time-varying wireless channel. The ECG is segmented into layers with differing importance with respect to the quality of the reconstructed signal. According to this observation, we have devised a simple and efficient real-time scheduling algorithm based on the earliest deadline first (EDF) policy, which decides the order of transmitting or retransmitting packets that contain ECG data at any given time for the delivery of scalable ECG data over a lossy channel. The algorithm takes into account the differing priorities of packets in each layer, which prevents the perceived quality of the reconstructed ECG signal from degrading abruptly as channel conditions worsen, while using the available bandwidth efficiently. Extensive simulations demonstrate this improvement in perceived quality.

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Tiku, Saideep, Prathmesh Kale, and Sudeep Pasricha. "QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices." ACM Transactions on Cyber-Physical Systems 5, no. 4 (October 31, 2021): 1–30. http://dx.doi.org/10.1145/3461342.

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Indoor localization services are a crucial aspect for the realization of smart cyber-physical systems within cities of the future. Such services are poised to reinvent the process of navigation and tracking of people and assets in a variety of indoor and subterranean environments. The growing ownership of computationally capable smartphones has laid the foundations of portable fingerprinting-based indoor localization through deep learning. However, as the demand for accurate localization increases, the computational complexity of the associated deep learning models increases as well. We present an approach for reducing the computational requirements of a deep learning-based indoor localization framework while maintaining localization accuracy targets. Our proposed methodology is deployed and validated across multiple smartphones and is shown to deliver up to 42% reduction in prediction latency and 45% reduction in prediction energy as compared to the best-known baseline deep learning-based indoor localization model.

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Li, Xuejing, Yajuan Qin, Huachun Zhou, Du Chen, Shujie Yang, and Zhewei Zhang. "An Intelligent Adaptive Algorithm for Servers Balancing and Tasks Scheduling over Mobile Fog Computing Networks." Wireless Communications and Mobile Computing 2020 (July 23, 2020): 1–16. http://dx.doi.org/10.1155/2020/8863865.

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With the increasing popularity of terminals and applications, the corresponding requirements of services have been growing significantly. In order to improve the quality of services in resource restrained user devices and reduce the large latency of service migration caused by long distance in cloud computing, mobile fog computing (MFC) is presented to provide supplementary resources by adding a fog layer with several servers near user devices. Focusing on cloud-aware MFC networks with multiple servers, we formulate a problem with the optimization objective to improve the quality of service, relieve the restrained resource of user device, and balance the workload of participant server. In consideration of the data size of remaining task, the power consumption of user device, and the appended workload of participant server, this paper designs a machine learning-based algorithm which aims to generate intelligent adaptive strategies related with load balancing of collaborative servers and dynamic scheduling of sequential tasks. Based on the proposed algorithm and software-defined networking technology, the tasks can be executed cooperatively by the user device and the servers in the MFC network. Besides, we conducted some experiments to verify the algorithm effectiveness under different numerical parameters including task arrival rate, avaliable server workload, and wireless channel condition. The simulation results show that the proposed intelligent adaptive algorithm achieves a superior performance in terms of latency and power consumption compared to candidate algorithms.

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Hwang, I.-S., Bor-Jiunn Hwang, and Ruey-Rong Su. "Maximizing Downlink Bandwidth Allocation Method Based on SVC in Mobile WiMAX Networks for Generic Broadband Services." ISRN Communications and Networking 2011 (October 20, 2011): 1–9. http://dx.doi.org/10.5402/2011/672195.

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This paper proposes an adaptive downlink bandwidth allocation method (DBAM) for six traffic types—UGS, RT-VR, ERT-VR, NRT-VR, BE, and multicast—to maximize the throughput of broadband WiMAX networks for generic broadband services. Based on traffic throughput and the amount of traffic in different scalable video coding (SVC) layers, two adaptive resource adjustment schemes with SVC technology in the DBAM are proposed and compared. Moreover, a hierarchical priority queuing for different traffic profiles with weighted round robin (HPWRR) scheduling algorithm is proposed to achieve higher resource utilization and to meet the required quality of service (QoS) for each traffic type. Simulation results show that the proposed DBAM with HPWRR can achieve efficient throughput and bandwidth utilization and improve the delay time for RT-VR and multicast traffic.

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Choi, Jongmoo, Bumjong Jung, Yongjae Choi, and Seiil Son. "An Adaptive and Integrated Low-Power Framework for Multicore Mobile Computing." Mobile Information Systems 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/9642958.

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Employing multicore in mobile computing such as smartphone and IoT (Internet of Things) device is a double-edged sword. It provides ample computing capabilities required in recent intelligent mobile services including voice recognition, image processing, big data analysis, and deep learning. However, it requires a great deal of power consumption, which causes creating a thermal hot spot and putting pressure on the energy resource in a mobile device. In this paper, we propose a novel framework that integrates two well-known low-power techniques, DPM (Dynamic Power Management) and DVFS (Dynamic Voltage and Frequency Scaling) for energy efficiency in multicore mobile systems. The key feature of the proposed framework is adaptability. By monitoring the online resource usage such as CPU utilization and power consumption, the framework can orchestrate diverse DPM and DVFS policies according to workload characteristics. Real implementation based experiments using three mobile devices have shown that it can reduce the power consumption ranging from 22% to 79%, while affecting negligibly the performance of workloads.

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ITOH, Nobuhiko, Takanori IWAI, and Ryogo KUBO. "Congestion-Adaptive and Deadline-Aware Scheduling for Connected Car Services over Mobile Networks." IEICE Transactions on Communications E103.B, no. 10 (October 1, 2020): 1117–26. http://dx.doi.org/10.1587/transcom.2019ebt0007.

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Yadav, Rahul, and Weizhe Zhang. "MeReg: Managing Energy-SLA Tradeoff for Green Mobile Cloud Computing." Wireless Communications and Mobile Computing 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/6741972.

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Mobile cloud computing (MCC) provides various cloud computing services to mobile users. The rapid growth of MCC users requires large-scale MCC data centers to provide them with data processing and storage services. The growth of these data centers directly impacts electrical energy consumption, which affects businesses as well as the environment through carbon dioxide (CO2) emissions. Moreover, large amount of energy is wasted to maintain the servers running during low workload. To reduce the energy consumption of mobile cloud data centers, energy-aware host overload detection algorithm and virtual machines (VMs) selection algorithms for VM consolidation are required during detected host underload and overload. After allocating resources to all VMs, underloaded hosts are required to assume energy-saving mode in order to minimize power consumption. To address this issue, we proposed an adaptive heuristics energy-aware algorithm, which creates an upper CPU utilization threshold using recent CPU utilization history to detect overloaded hosts and dynamic VM selection algorithms to consolidate the VMs from overloaded or underloaded host. The goal is to minimize total energy consumption and maximize Quality of Service, including the reduction of service level agreement (SLA) violations. CloudSim simulator is used to validate the algorithm and simulations are conducted on real workload traces in 10 different days, as provided by PlanetLab.

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Aldriwish*, Khalid. "Design of an Adaptive Near Field Communication Technology using Finite State Machine within Web Services." International Journal of Innovative Technology and Exploring Engineering 10, no. 10 (August 30, 2021): 107–12. http://dx.doi.org/10.35940/ijitee.j9448.08101021.

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The ongoing Web success can be related to its scalability and sustainability. Web Services (WSs) can provide different patterns for delivering software application abilities and the models by which enterprises and associated parties will trade. WSs represent a flexible way to offer existing components available to applications through the Internet. WSs are a new trend that shares ubiquitous systems with others. The popularity of Web is increasing with their associated systems. These systems play a significant key role as their compromise has a technical effect, and their need is rising. One of these systems is called Technology wireless (NFC). NFC is becoming an active area nowadays. The complexity of setting the NFC increases as the application, system architecture, and associated parts must satisfy various requirements of ever involving project scenarios. Several organizations are getting the benefit from the NFC. This paper will explore and develop an approach of developing a technique that will permit to exchange by technology wireless (NFC) data between the parties within a Web services environment. This technique has an advantage that facilitates the possibility of adopting such a system to decrease the time-cost and effort for staff and customers. Several means of mobile payments technique have been entitled and adopted this service in many countries, e.g., Europe, USA, Asia, and in the Middle East such as Saudi Arabia. Many users of these countries using a smartphone to pay services via their mobile phones for a wide range of activities. Consequently, this paper involves an agile technique of validating Finite State Machine (FSM) and JFLAP tools.

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Cao, Lu, Ying Xu, and Tian Lei Wang. "Research of Link Adaptation Technology and Solutions in Wireless Communication Network." Applied Mechanics and Materials 336-338 (July 2013): 1757–60. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.1757.

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With the rapid growth of the demand for wireless data services, it becomes a hotspot in the field of mobile communication to maximize data transfer rate on the limited bandwidth. Link adaptation technology has a strong advantage in improving the data transfer rate and the spectrum utilization rate, thus becoming one of the key technologies in current and future mobile communication systems. This paper aims to study the adaptive technology of the wireless link, emphasizing on the basic principles and existing implementations of the adaptive modulation and coding (AMC) and the hybrid-automatic repeat request (HARQ) which are both mainstream link adaptive technologies. Finally, a new link adaptation technology implementation is given by combining the advantages of AMC and HARQ.

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Shin, Soohye, Joonseok Park, and Keunhyuk Yeom. "MADA Feedback Framework for Adaptive Inference Results of Situation Aware Services in Mobile Environments." KIPS Transactions on Software and Data Engineering 2, no. 7 (July 31, 2013): 443–50. http://dx.doi.org/10.3745/ktsde.2013.2.7.443.

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Sallent, O., and R. Agusti. "Adaptive S-ALOHA CDMA as an alternative way of integrating services in mobile environments." IEEE Transactions on Vehicular Technology 49, no. 3 (May 2000): 936–47. http://dx.doi.org/10.1109/25.845110.

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Hwang, Bor-Jiunn, I.-Shyan Hwang, and Wei-Ren Chen. "Adaptive radio resource management for interactive user-centric IPTV services in mobile WiMAX networks." Information Sciences 181, no. 18 (September 2011): 4024–40. http://dx.doi.org/10.1016/j.ins.2011.04.016.

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Huang, Peng, Minjiang Deng, Zhiliang Kang, Qinshan Liu, and Lijia Xu. "Self-Adaptive Learning of Task Offloading in Mobile Edge Computing Systems." Entropy 23, no. 9 (August 31, 2021): 1146. http://dx.doi.org/10.3390/e23091146.

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Mobile edge computing (MEC) focuses on transferring computing resources close to the user’s device, and it provides high-performance and low-delay services for mobile devices. It is an effective method to deal with computationally intensive and delay-sensitive tasks. Given the large number of underutilized computing resources for mobile devices in urban areas, leveraging these underutilized resources offers tremendous opportunities and value. Considering the spatiotemporal dynamics of user devices, the uncertainty of rich computing resources and the state of network channels in the MEC system, computing resource allocation in mobile devices with idle computing resources will affect the response time of task requesting. To solve these problems, this paper considers the case in which a mobile device can learn from a neighboring IoT device when offloading a computing request. On this basis, a novel self-adaptive learning of task offloading algorithm (SAda) is designed to minimize the average offloading delay in the MEC system. SAda adopts a distributed working mode and has a perception function to adapt to the dynamic environment in reality; it does not require frequent access to equipment information. Extensive simulations demonstrate that SAda achieves preferable latency performance and low learning error compared to the existing upper bound algorithms.

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Jadad, Hamid A., Abderezak Touzene, and Khaled Day. "Offloading as a Service Middleware for Mobile Cloud Apps." International Journal of Cloud Applications and Computing 10, no. 2 (April 2020): 36–55. http://dx.doi.org/10.4018/ijcac.2020040103.

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Recently, much research has focused on the improvement of mobile app performance and their power optimization, by offloading computation from mobile devices to public cloud computing platforms. However, the scalability of these offloading services on a large scale is still a challenge. This article describes a solution to this scalability problem by proposing a middleware that provides offloading as a service (OAS) to large-scale implementation of mobile users and apps. The proposed middleware OAS uses adaptive VM allocation and deallocation algorithms based on a CPU rate prediction model. Furthermore, it dynamically schedules the requests using a load-balancing algorithm to ensure meeting QoS requirements at a lower cost. The authors have tested the proposed algorithm by conducting multiple simulations and compared our results with state-of-the-art algorithms based on various performance metrics under multiple load conditions. The results show that OAS achieves better response time with a minimum number of VMs and reduces 50% of the cost compared to existing approaches.

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Zheng, Hongyun, Yongxiang Zhao, Xi Lu, and Rongzhen Cao. "A Mobile Fog Computing-Assisted DASH QoE Prediction Scheme." Wireless Communications and Mobile Computing 2018 (August 28, 2018): 1–10. http://dx.doi.org/10.1155/2018/6283957.

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Video service has become a killer application for mobile terminals. For providing such services, most of the traffic is carried by the Dynamic Adaptive Streaming over HTTP (DASH) technique. The key to improve video quality perceived by users, i.e., Quality of Experience (QoE), is to effectively characterize it by using measured data. There have been many literatures that studied this issue. Some existing solutions use probe mechanism at client/server, which, however, are not applicable to network operator. Some other solutions, which aimed to predict QoE by deep packet parsing, cannot work properly as more and more video traffic is encrypted. In this paper, we propose a fog-assisted real-time QoE prediction scheme, which can predict the QoE of DASH-supported video streaming using fog nodes. Neither client/server participations nor deep packet parsing at network equipment is needed, which makes this scheme easy to deploy. Experimental results show that this scheme can accurately detect QoE with high accuracy even when the video traffic is encrypted.

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Journal articles on the topic 'Adaptive mobile services'

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