A Dynamic Threshold Based Energy Efficient Method for Cloud Datacenters

Author:

Shally 1,Sharma Sanjay Kumar1,Kumar Sunil2ORCID

Affiliation:

1. Banasthali Vidyapith, Rajasthan, India

2. Manipal University Jaipur, Jaipur, India

Abstract

Cloud computing has opened new avenues in the computing resource provisioning. It is providing affordable computing services to the users and opportunities to the cloud service providers to scale up their business. However, the upscaling resulted in the creation of huge datacenters running round the clock. Energy consumption in these datacenters is becoming a burning issue due to environmental hazards and operating costs. A novel method using dynamic threshold has been proposed in this article. Thresholds are used to migrate the virtual machines (VM) on physical machines (PM) for consolidation. A dynamic threshold selection method is used to reduce energy consumed by physical machines of the data centers. The upper and lower thresholds are set dynamically based upon the previous pattern of the CPU utilization. Experiments conducted on PlanetLab data show significant improvement in the energy efficiency without compromising SLA.

Publisher

IGI Global

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Computer Science Applications,Software

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A New Dynamic Threshold Based Energy Saver Resource Allocation method for Cloud Infrastructure;2023 2nd International Conference on Edge Computing and Applications (ICECAA);2023-07-19

2. Energy efficient resource optimization algorithm for cloud infrastructure;Journal of Intelligent & Fuzzy Systems;2023-01-05

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