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引用次数: 9
摘要
如今,云计算是一种趋势技术,并已被证明是一种可行的商业模式。我们能看到近年来最快的增长,因为它是容易进入的机制。由于云用户的数量呈指数级增长,因此要处理这个问题,需要负载平衡的概念来最小化开销并最大化云上的吞吐量。本文借助cloud Analyst模拟器,分析了轮循(Round Robin)、节流(throttled)、均摊当前执行负载(equarespread Current Execution Load)三种云算法,以及它们在平均响应时间、每小时数据中心响应时间和虚拟机成本等方面的性能。Cloud Analyst是云环境下算法测试的最好的模拟器。仿真结果表明,随着用户数量的增加,节流算法的性能优于这些算法。
Performance Evaluation of Load Balancing Algorithms Using Cloud Analyst
Today cloud computing is the trending technology and has been proven as a viable business model. We can see fastest growth in the recent years because of it’s easy to access mechanism. As the number of cloud users are increasing exponentially, so to handle this, the concept of load balancing is needed to minimize the overhead and maximize the throughput on the cloud. In this paper, we analyze three cloud algorithms namely Round Robin, Throttled, Equally Spread Current Execution Load and their performance in terms of average response time, hourly data center response time and the cost of Virtual Machine (VM) etc. with the help of Cloud Analyst simulator. Cloud Analyst is the simulator which is best among all simulator for algorithm testing in cloud environment. Simulation results demonstrate that Throttled outperforms among these algorithms as number of users increases.