基于混合启发式HEFT和增强抓取方法的云调度研究与分析

M. Kumaresan, G. Venkatesan
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引用次数: 0

摘要

云计算已经成为一种新的面向市场的商业模式,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安全、快速、有益的数据存储和计算能力。云为不同用户的不同QoS需求提供按需服务。所以,安排服务是一件令人厌烦的事情。为了在云环境下提供高效的任务调度,本文提出了基于混合启发式的HEFT算法。此外,将任务重复概念与贪婪随机搜索过程相结合,解决了异构环境下的优化问题。实验结果表明,该算法能够显著降低成本和时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud Scheduling Using Hybrid Heuristic Based HEFT and Enhanced GRASP Approach: A Study and Analysis
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.
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