Efficient Service Selection in Multimedia Documents Adaptation Processes

Author(s):  
Zakaria Laboudi ◽  
Abdelkader Moudjari ◽  
Asma Saighi ◽  
Hamana Nazim Hamri
Author(s):  
Adel Alti ◽  
Sébastian Laborie ◽  
Philippe Roose

This paper presents an approach to enhance users experience through the use of recommendations and social networks for on-the-fly (at runtime) adaptation of multimedia documents. This paper presents also CSSAP, a dynamic service selection and assembly tool based on new user profiles and community profiles defined as set of semantic metadata, which context, quality of service and quality of experience parameters. The tool is based on community-aware semantic services and offer architecture, with three layers (semantic query, community management and semantic services). The most innovative characteristic of the tool is that it profits from the potential of semantic representation techniques to express context constraints and community's interests, while they may be useful to generate and manage of complex dynamic adaptation process. This tool improves assembly of relevant adaptation services for communities inferred social influence from a Facebook as virtual P2P environment. The proposed approach has been validated through a prototype for mobiles user of multimedia contents exchanges. The goal is to improve assembly of potential adaptation services and the efficiency and effectiveness of the authors' approach.


Author(s):  
Cédric Dromzée ◽  
Sébastien Laborie ◽  
Philippe Roose

Currently, multimedia documents can be accessed at anytime and anywhere with a wide variety of mobile devices, such as laptops, smartphones, and tablets. Obviously, platform heterogeneity, users’ preferences, and context variations require document adaptation according to execution constraints. For example, audio contents may not be played while a user is participating in a meeting. Current context modeling languages do not handle such real life user constraints. These languages generally list multiple information values that are interpreted by adaptation processes in order to deduce implicitly such high-level constraints. In this chapter, the authors overcome this limitation by proposing a novel context modeling approach based on services, where context information is linked according to explicit high-level constraints. In order to validate the proposal, the authors have used semantic Web technologies by specifying RDF profiles and experimenting on their usage on several platforms.


2009 ◽  
Vol 31 (8) ◽  
pp. 1398-1411 ◽  
Author(s):  
Ming-Wei ZHANG ◽  
Wei-Jie WEI ◽  
Bin ZHANG ◽  
Xi-Zhe ZHANG ◽  
Zhi-Liang ZHU

2010 ◽  
Vol 33 (11) ◽  
pp. 2116-2125 ◽  
Author(s):  
Yan-Ping CHEN ◽  
Jian-Ke ZHANG ◽  
Jia-Ze SUN ◽  
Qing-Hua ZHENG ◽  
Zheng-Zhi LI

2009 ◽  
Vol 29 (3) ◽  
pp. 892-895 ◽  
Author(s):  
Run-cai HUANG ◽  
Yi-wen ZHUANG ◽  
Ji-liang ZHOU ◽  
Qi-ying CAO

2010 ◽  
Vol 30 (4) ◽  
pp. 872-875
Author(s):  
Hai WANG ◽  
Zheng-dong ZHU ◽  
Zeng-zhi LI

Author(s):  
Abubakar Muhammad Miyim ◽  
Mahamod Ismail ◽  
Rosdiadee Nordin

The importance of network selection for wireless networks, is to facilitate users with various personal wireless devices to access their desired services via a range of available radio access networks. The inability of these networks to provide broadband data service applications to users poses a serious challenge in the wireless environment. Network Optimization has therefore become necessary, so as to accommodate the increasing number of users’ service application demands while maintaining the required quality of services. To achieve that, the need to incorporate intelligent and fast mechanism as a solution to select the best value network for the user arises. This paper provides an intelligent network selection strategy based on the user- and network-valued metrics to suit their preferences when communicating in multi-access environment. A user-driven network selection strategy that employs Multi-Access Service Selection Vertical Handover Decision Algorithm (MASS-VHDA) via three interfaces; Wi-Fi, WiMAX and LTE-A is proposed, numerically evaluated and simulated. The results from the performance analysis demonstrate some improvement in the QoS and network blocking probability to satisfy user application requests for multiple simultaneous services.


2021 ◽  
Vol 15 (2) ◽  
pp. 1-25
Author(s):  
Amal Alhosban ◽  
Zaki Malik ◽  
Khayyam Hashmi ◽  
Brahim Medjahed ◽  
Hassan Al-Ababneh

Service-Oriented Architectures (SOA) enable the automatic creation of business applications from independently developed and deployed Web services. As Web services are inherently a priori unknown, how to deliver reliable Web services compositions is a significant and challenging problem. Services involved in an SOA often do not operate under a single processing environment and need to communicate using different protocols over a network. Under such conditions, designing a fault management system that is both efficient and extensible is a challenging task. In this article, we propose SFSS, a self-healing framework for SOA fault management. SFSS is predicting, identifying, and solving faults in SOAs. In SFSS, we identified a set of high-level exception handling strategies based on the QoS performances of different component services and the preferences articled by the service consumers. Multiple recovery plans are generated and evaluated according to the performance of the selected component services, and then we execute the best recovery plan. We assess the overall user dependence (i.e., the service is independent of other services) using the generated plan and the available invocation information of the component services. Due to the experiment results, the given technique enhances the service selection quality by choosing the services that have the highest score and betters the overall system performance. The experiment results indicate the applicability of SFSS and show improved performance in comparison to similar approaches.


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