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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM18092

EVALUATION OF WEB SERVICES COMPOSITION PROBLEM IN MULTI-CLOUD ENVIRONMENT

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM18092

Volume:

7 |

3 |

Mar 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

A

Amirthayogam.G

KS

Karthikeyan S

BKM

Banupriya K M

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Abstract

The development of Web services as a distribution, service consumption, and discovery architecture was successful. The components of SOA are widely used in e-business, process control, multimedia services, and several other disciplines. A QoS is still helpful for connecting non-functional concepts to Web services, and it is next used as a key point of differentiation for the different Service provider. In a multi-cloud environment (MCE), each atomic web service published by any cloud provider with the same functionality has a different price and quality of service (QoS). Service discovery and composition are the key challenges for web services development. The challenges in the composition of services distributed in multi-cloud environments include increased cost and a reduction in its speed due to the increasing number of services, providers, and clouds. Consequently, to overcome these challenges, the QoS-aware multi-cloud web service composition is presented in this work a Hybrid Firefly and Bee Colony Optimization Algorithm is introduced for the Multi-cloud service composition problem of NP-Hard in a multi-cloud environment.

KEYWORDS

Services Composition Firefly Bee Colony Algorithm QoS Metrics.

Cite This Article

Amirthayogam.G, Karthikeyan S, Banupriya K M, "EVALUATION OF WEB SERVICES COMPOSITION PROBLEM IN MULTI-CLOUD ENVIRONMENT," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 3, Mar 2023. https://doi.org/10.55041/IJSREM18092

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Publication Date

3/15/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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