Fuzzy Service Selection and Interaction Review in Distributed Electronic Markets

2007 ◽  
pp. 237-247
Author(s):  
Stefan Schmidt ◽  
Robert Steele ◽  
Tharam Dillon
Keyword(s):  
Electronic Markets ◽  
Service Selection

Research on Service Selection Approach Based on Composite Service Execution Information

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

A Service Selection Model Using Mixed Intelligent Optimization

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

Semantic Web-based context-aware service selection in task-computing

2009 ◽  
Vol 29 (3) ◽  
pp. 892-895 ◽  
Author(s):  
Run-cai HUANG ◽  
Yi-wen ZHUANG ◽  
Ji-liang ZHOU ◽  
Qi-ying CAO
Keyword(s):  
Semantic Web ◽  
Service Selection ◽  
Context Aware ◽  
Web Based ◽  
Context Aware Service

Method of Top-k Web service selection based on QoS

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

User-Driven Network Selection during Vertical Handover in 4G Networks

2017 ◽  
Vol 10 ◽  
pp. 1
Author(s):  
Abubakar Muhammad Miyim ◽  
Mahamod Ismail ◽  
Rosdiadee Nordin
Keyword(s):  
Blocking Probability ◽  
Service Selection ◽  
Vertical Handover ◽  
Network Selection ◽  
Selection Strategy ◽  
Intelligent Network ◽  
Decision Algorithm ◽  
Radio Access ◽  
Service Application ◽  
Multi Access

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.

A Two Phases Self-healing Framework for Service-oriented Systems

2021 ◽  
Vol 15 (2) ◽  
pp. 1-25
Author(s):  
Amal Alhosban ◽  
Zaki Malik ◽  
Khayyam Hashmi ◽  
Brahim Medjahed ◽  
Hassan Al-Ababneh
Keyword(s):  
Web Services ◽  
A Priori ◽  
Fault Management ◽  
Service Selection ◽  
Exception Handling ◽  
Self Healing ◽  
Service Oriented Architectures ◽  
Service Oriented ◽  
Improved Performance ◽  
High Level

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.

scholarly journals Dynamic Network Service Selection in IRS-assisted Wireless Networks: A Game Theory Approach

2021 ◽  
pp. 1-1
Author(s):  
Nguyen Cong Luong ◽  
Thi Thanh Van Nguyen ◽  
Shaohan Feng ◽  
Huy T. Nguyen ◽  
Tao Dusit Niyato ◽  
...  
Keyword(s):  
Game Theory ◽  
Wireless Networks ◽  
Dynamic Network ◽  
Service Selection ◽  
Theory Approach ◽  
Network Service
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