Privacy regulation aware service selection for multi-provision 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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An adaptive service selection method for cross-cloud service composition

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.3080 ◽

2013 ◽

Vol 25 (18) ◽

pp. 2435-2454 ◽

Cited By ~ 23

Author(s):

Jun Yang ◽

Wenmin Lin ◽

Wanchun Dou

Keyword(s):

Service Composition ◽

Service Selection ◽

Cloud Service ◽

Selection Method ◽

Cloud Service Composition

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Evaluating the QoS Cognizance in Composition of Cloud Services: A Systematic Literature Review

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.6.20451 ◽

2018 ◽

Vol 7 (4.6) ◽

pp. 141

Author(s):

A V L N Sujith ◽

Dr. A Rama Mohan Reddy ◽

Dr. K Madhavi

Keyword(s):

Service Composition ◽

Service Discovery ◽

Service Providers ◽

Service Selection ◽

Cloud Service ◽

Cloud Services ◽

Future Research ◽

Promising Area ◽

Cloud Service Composition ◽

Rapid Deployment

Enterprise level computing constantly investigates novel approaches that maximize their profits and minimize their expenses. With the rapid growth of cloud computing XaaS – ‘anything as a service’, service providers are enabled with the rapid deployment of virtual services to service requestors. Because of the enormous growth in the variety of the services and based on the demand of the virtualized resources, cloud service providers are facing tough competition to facilitate the composite service requests made by the service requestors. QoS (Quality of Service) is considered to be a preliminary factor while composing a new cloud service out of heterogeneous and distributed atomic services. Therefore service composition is promising area that focuses on the design and development of the automated approaches to deal with diverse phases of service composition techniques that include service discovery, negotiation, service selection and optimization of the atomic services. This paper provides anatomy of existing studies addressing the problem of cloud service composition that enable to identify intended objectives of the technique along with diverse QoS aware problem solving approaches. Furthermore, the key areas of the improvement in cloud service composition are identified for future research.

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