research-article

A Cloud Computing Resource Optimal Allocation Scheme Based on Data Correlation Analysis

Author:

Yunqi KanAuthors Info & Claims

ICECC '21: Proceedings of the 4th International Conference on Electronics, Communications and Control Engineering

Pages 26 - 31

https://doi.org/10.1145/3462676.3462681

Published: 07 September 2021 Publication History

Abstract

The application of cloud computing is becoming more and more extensive, and the optimal allocation of resources can affect the quality and cost of cloud computing services. There are many factors that affect the optimal allocation of resources: providers focus on energy consumption, profit, SLA default, load balancing, resource utilization, etc.; consumers focus on QoS, cost, etc. It is necessary to analyze the factors that affect the optimal allocation of cloud computing resources from the perspectives of providers and consumers. We propose a cloud resource optimal allocation plan based on data correlation analysis.

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Cited By

Zhao YChen KGao HLi Y(2024)Performance analysis of cloud resource allocation scheme with virtual machine inter-group asynchronous failureJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2024.10215536:7Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1016/j.jksuci.2024.102155
Khan HChua FYap T(2022)ReSQoV: A Scalable Resource Allocation Model for QoS-Satisfied Cloud ServicesFuture Internet10.3390/fi1405013114:5(131)Online publication date: 26-Apr-2022
https://doi.org/10.3390/fi14050131

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cover image ACM Other conferences

ICECC '21: Proceedings of the 4th International Conference on Electronics, Communications and Control Engineering

April 2021

122 pages

ISBN:9781450389129

DOI:10.1145/3462676

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 07 September 2021

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ICECC 2021

ICECC 2021: The 4th International Conference on Electronics, Communications and Control Engineering

April 9 - 11, 2021

Seoul, Republic of Korea

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Cited By

Zhao YChen KGao HLi Y(2024)Performance analysis of cloud resource allocation scheme with virtual machine inter-group asynchronous failureJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2024.10215536:7Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1016/j.jksuci.2024.102155
Khan HChua FYap T(2022)ReSQoV: A Scalable Resource Allocation Model for QoS-Satisfied Cloud ServicesFuture Internet10.3390/fi1405013114:5(131)Online publication date: 26-Apr-2022
https://doi.org/10.3390/fi14050131

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