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Journal of Interdisciplinary Mathematics cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-012X·ISSN (Print): 0972-0502

Monthly Journal: Publishes the methodological and theoretical role of mathematics and mathematical applications underpinning scientific research.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

Adaptive cloud orchestration resource selection using rough set theory

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pp. 311–320Vol. 26Issue 3April 2023DOI: 10.47974/JIM-1662XML
Published Online:
01 Apr 2023
Article type:
Research Article
Language:
EN
Article no.:
JIM-1662
Pages:
311–320

Abstract

The recent research is developing in a vast speed to develop the cloud orchestration system. In cloud system the remotely managed servers are storing, finding, removing, replacing and retrieving the various services in an adaptive optimized manner. The lot of services are provided by the vast number of providers in the market with the help of approximation theory by the rough set system (RST). RST finds in helping in getting the efficient cloud resources as a service to the users. The proposed OCRS (Optimized Cost Resource System) approach is being simulated and compared with the existing cloud simulator. The simulator gives the approximate results in many parameters of cloud services. In all aspects our algorithm is performing better.

Keywords

Subject Classifications

Primary 93A30Secondary 49K15

References

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