QoS-Aware Service Selection Algorithms for Pervasive Service Composition in Mobile Wireless Environments

2009 ◽  
Vol 15 (4) ◽  
pp. 488-501 ◽  
Author(s):  
Kun Yang ◽  
Alex Galis ◽  
Hsiao-Hwa Chen
Keyword(s):  
Service Composition ◽  
Service Selection ◽  
Mobile Wireless ◽  
Pervasive Service ◽  
Wireless Environments ◽  
Selection Algorithms

WS-SIM: A Toolkit for Modeling and Simulation of Service Composition

2013 ◽  
Vol 756-759 ◽  
pp. 1304-1308
Author(s):  
Fan Zhang
Keyword(s):  
Web Service ◽  
Service Composition ◽  
Simulation Experiment ◽  
Service Selection ◽  
Selection Algorithm ◽  
Web Service Selection ◽  
Composite Services ◽  
Selection Algorithms

Web service has been rapidly developed in recent years. Web service selection is an important issue in web service composition and lots of service selection algorithms have been presented. As lots of them select an atomic service during runtime, it is not an easy task to evaluate the quality of the composited service which composed of several atomic services. In this work we introduce WS-SIM, a simulation toolkit, to solve this problem. WS-SIM supports modeling and simulating composite services and atomic services in the real world. This system also provides many common service selection algorithms and researchers can custom their own service selection algorithm for a simulation experiment. The quality of composite services can also be generated by our system. Furthermore, to demonstrate suitability of the WS-SIM, in this paper, functionalities of our system are illustrated by a case study. This confirms the usability and the applicability of WS-SIM.

Cooperative Video Provisioning in Mobile Wireless Environments

2017 ◽  
pp. 247-279 ◽  
Author(s):  
Paolo Bellavista ◽  
Antonio Corradi ◽  
Carlo CarloGiannelli
Keyword(s):  
Mobile Wireless ◽  
Wireless Environments

Web caching in broadcast mobile wireless environments

2004 ◽  
Vol 8 (3) ◽  
pp. 37-45 ◽  
Author(s):  
D. Katsaros ◽  
Y. Manolopoulos
Keyword(s):  
Web Caching ◽  
Mobile Wireless ◽  
Wireless Environments

Client-Centric Cloud Service Composition

2017 ◽  
pp. 144-166
Author(s):  
Vivek Gaur ◽  
Praveen Dhyani ◽  
Om Prakash Rishi
Keyword(s):  
Service Composition ◽  
Large Scale ◽  
Business Processes ◽  
Service Providers ◽  
Service Selection ◽  
Cloud Service ◽  
Quality Parameters ◽  
End User ◽  
Cloud Service Composition ◽  
Tabu Search Methods

Recent computing world has seen rapid growth of the number of middle and large scale enterprises that deploy business processes sharing variety of services available over cloud environment. Due to the advantage of reduced cost and increased availability, the cloud technology has been gaining unbound popularity. However, because of existence of multiple cloud service providers on one hand and varying user requirements on the other hand, the task of appropriate service composition becomes challenging. The conception of this chapter is to consider the fact that different quality parameters related to various services might bear varied importance for different user. This chapter introduces a framework for QoS-based Cloud service selection to satisfy the end user needs. A hybrid algorithm based on genetic algorithm (GA) and Tabu Search methods has been developed, and its efficacy is analysed. Finally, this chapter includes the experimental analysis to present the performance of the algorithm.

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