A Cost Effective and Energy Efficient Algorithm for Cloud Computing

IF 1.5 Q3 ENGINEERING, MULTIDISCIPLINARY
Priyanka Vashisht, Vijay Kumar
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引用次数: 0

Abstract

Cloud-Computing offers high performance solution to solve complex engineering and scientific tasks by deploying resources at geo-diverse locations. With the large-scale demand of scientific and engineering jobs, huge number of cloud data centres needs to be constructed to fulfil the requirement of the jobs. The extensive use of cloud data centres leads to increases in cost as well as energy consumption. In this paper, an agent based Cost-Effective Energy Efficient scheduling algorithm, namely, CEEE has been proposed. To establish the effectiveness of the proposed algorithm, simulation is performed on CloudSim environment. The proposed algorithm is compared with state of art scheduling algorithms namely, Randam and MaxUtil. The experimental results demonstrates that CEEE algorithm is capable of refining energy efficiency with reduced cost. The proposed algorithm outperforms the prevailing algorithms in terms of energy consumption, resource utilization, number of hosts in sleep mode and completion time.
一种成本效益和能源效率高的云计算算法
云计算通过在不同地理位置部署资源,为解决复杂的工程和科学任务提供了高性能解决方案。随着科技和工程岗位的大规模需求,需要建设大量的云数据中心来满足这些岗位的需求。云数据中心的广泛使用导致成本和能源消耗的增加。本文提出了一种基于智能体的高效节能调度算法——CEEE。为了验证该算法的有效性,在CloudSim环境下进行了仿真。并将该算法与目前最先进的调度算法Randam和MaxUtil进行了比较。实验结果表明,CEEE算法能够以较低的成本提高能效。该算法在能耗、资源利用率、休眠模式主机数量和完成时间等方面均优于现有算法。
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来源期刊
CiteScore
3.80
自引率
6.20%
发文量
57
审稿时长
20 weeks
期刊介绍: IJMEMS is a peer reviewed international journal aiming on both the theoretical and practical aspects of mathematical, engineering and management sciences. The original, not-previously published, research manuscripts on topics such as the following (but not limited to) will be considered for publication: *Mathematical Sciences- applied mathematics and allied fields, operations research, mathematical statistics. *Engineering Sciences- computer science engineering, mechanical engineering, information technology engineering, civil engineering, aeronautical engineering, industrial engineering, systems engineering, reliability engineering, production engineering. *Management Sciences- engineering management, risk management, business models, supply chain management.
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