Cost Aware Service Selection in a Mobile Edge Marketplace

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.

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Fuzzy teaching learning based optimization approach for solving the QoS-aware web service selection problem in uncertain environments

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-020-02879-y ◽

2021 ◽

Author(s):

Fateh Seghir ◽

Ghizlane Khababa

Keyword(s):

Web Service ◽

Service Selection ◽

Selection Problem ◽

Optimization Approach ◽

Uncertain Environments ◽

Web Service Selection ◽

Teaching Learning Based Optimization ◽

Teaching Learning

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

ACM Transactions on the Web ◽

10.1145/3450443 ◽

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.

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