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Erschienen in: Evolutionary Intelligence 2/2021

16.04.2019 | Special Issue

Genetic algorithm for quality of service based resource allocation in cloud computing

verfasst von: Prasad Devarasetty, Satyananda Reddy

Erschienen in: Evolutionary Intelligence | Ausgabe 2/2021

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Abstract

In the recent years, cloud computing has emerged as one of the important fields in the information technology. Cloud offers different types of services to the web applications. The major issue faced by cloud customers are selecting the resources for their application deployment without compromising the quality of service (QoS) requirements. This paper proposed the improved optimization algorithm for resource allocation by considering the objectives of minimizing the deployment cost and improving the QoS performance. The proposed algorithm considers different customer QoS requirements and allocates the resources within the given budget. The experimental analysis is conducted on various workloads by deploying into the Amazon Web Services. The results shows the efficiency of the proposed algorithm.

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Metadaten
Titel
Genetic algorithm for quality of service based resource allocation in cloud computing
verfasst von
Prasad Devarasetty
Satyananda Reddy
Publikationsdatum
16.04.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Evolutionary Intelligence / Ausgabe 2/2021
Print ISSN: 1864-5909
Elektronische ISSN: 1864-5917
DOI
https://doi.org/10.1007/s12065-019-00233-6

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