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Cloud Scheduling Using Hybrid Heuristic Based HEFT and Enhanced GRASP Approach: A Study and Analysis

机译:云调度采用混合启发式的弘扬及增强掌握方法:研究与分析

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Cloud computing has emerged as a new marketoriented business model for elucidating large-scale problems in heterogeneous distributed systems. It provides defended, rapid, beneficial data storage and computing power with the assistance of internet. Cloud provides on-demand services for different QoS requirements of different users. So, scheduling the services is wearying one. In this paper, we proposed Hybrid heuristic based HEFT to provide efficient task scheduling in cloud environment. In addition, task duplication concept is combined with greedy randomized search procedure to solve optimization problems in heterogenous environment. Experimental results shows that the proposed algorithms are able to reduce the cost and time in significant manner.
机译:云计算已成为一种新的批判性商业模式,用于阐明异构分布式系统中的大规模问题。它在互联网的帮助下提供了捍卫,快速,有益的数据存储和计算能力。云为不同用户的不同QoS要求提供了按需服务。因此,调度服务正在疲惫不堪。在本文中,我们提出了云环境中的有效任务调度的混合启发式的HEFT。此外,任务复制概念与贪婪随机搜索过程相结合,以解决异构环境中的优化问题。实验结果表明,所提出的算法能够以显着的方式降低成本和时间。

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