An optimization approach for cloud composite services

Recently, a considerable literature has grown up around the theme of composite services verification. Namely, the verification of the non-functional aspect generally consisting of optimizing the quality of service (QoS) of the composite service. Great efforts have been devoted to the study of severa...

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Bibliographic Details
Published in:The Journal of supercomputing 2022-02, Vol.78 (3), p.3621-3645
Main Authors: Lahouij, Aida, Hamel, Lazhar, Graiet, Mohamed
Format: Article
Language:English
Subjects:
Algorithms
Compilers
Computer Science
Interpreters
Linear programming
Optimization
Processor Architectures
Programming Languages
Verification
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Summary:Recently, a considerable literature has grown up around the theme of composite services verification. Namely, the verification of the non-functional aspect generally consisting of optimizing the quality of service (QoS) of the composite service. Great efforts have been devoted to the study of several optimization methods and their impact on the QoS of the composite service. Guaranteeing the service level agreements established with users remains one of the greatest challenges in this field. This essay explores a new composition approach based on a linear programming algorithm and compares the obtained results with existing works. Our approach aims to guarantee an efficient and optimal solution to the Cloud composite service problem. For evaluation, we have developed the CR-SIM simulator that selects and composes services in the Cloud context.
ISSN:0920-8542
1573-0484
DOI:10.1007/s11227-021-03995-y