article

Efficient Strategies of VMs Scheduling Based on Physicals Resources and Temperature Thresholds

Authors:

Ghalem BelalemAuthors Info & Claims

International Journal of Cloud Applications and Computing (IJCAC), Volume 10, Issue 3

Pages 81 - 95

https://doi.org/10.4018/IJCAC.2020070105

Published: 01 July 2020 Publication History

Abstract

Cloud computing offers a variety of services, including the dynamic availability of computing resources. Its infrastructure is designed to support the accessibility and availability of various consumer services via the Internet. The number of data centers allow the allocation of the applications, and the process of data in the cloud is increasing over time. This implies high energy consumption, thus contributing to large emissions of CO2 gas. For this reason, solutions are needed to minimize this power consumption, such as virtualization, migration, consolidation, and efficient traffic-aware virtual machine scheduling. In this article, the authors propose two efficient strategies for VM scheduling. SchedCT approach is based on dynamic CPU utilization and temperature thresholds. SchedCR approach takes into consideration dynamic CPU utilization, RAM capacity, and temperature thresholds. These approaches have efficiently decreased the energy consumption of the data centers, the number of VM migrations, and SLA violations, and this reduces, therefore, the emission of CO2 gas.

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Cited By

Goel GTiwari R(2022)Resource Scheduling in Fog Environment Using Optimization Algorithms for 6G NetworksInternational Journal of Software Science and Computational Intelligence10.4018/IJSSCI.30444014:1(1-24)Online publication date: 13-Jul-2022
https://dl.acm.org/doi/10.4018/IJSSCI.304440
R. B. MTiwari HVerma C. D(2022)Resource Optimization in Cloud Data Centers Using Particle Swarm OptimizationInternational Journal of Cloud Applications and Computing10.4018/IJCAC.30585612:2(1-12)Online publication date: 26-Jul-2022
https://dl.acm.org/doi/10.4018/IJCAC.305856

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Efficient Strategies of VMs Scheduling Based on Physicals Resources and Temperature Thresholds

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cover image International Journal of Cloud Applications and Computing

International Journal of Cloud Applications and Computing Volume 10, Issue 3

Jul 2020

110 pages

ISSN:2156-1834

EISSN:2156-1826

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Copyright © 2020.

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IGI Global

United States

Publication History

Published: 01 July 2020

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Cited By

Goel GTiwari R(2022)Resource Scheduling in Fog Environment Using Optimization Algorithms for 6G NetworksInternational Journal of Software Science and Computational Intelligence10.4018/IJSSCI.30444014:1(1-24)Online publication date: 13-Jul-2022
https://dl.acm.org/doi/10.4018/IJSSCI.304440
R. B. MTiwari HVerma C. D(2022)Resource Optimization in Cloud Data Centers Using Particle Swarm OptimizationInternational Journal of Cloud Applications and Computing10.4018/IJCAC.30585612:2(1-12)Online publication date: 26-Jul-2022
https://dl.acm.org/doi/10.4018/IJCAC.305856

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