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Comparing Static Load Balancing Algorithms in Grid

机译:比较网格中的静态负载平衡算法

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The ability to monitor and manage Grid computing components is critical for enabling high performance distributed computing. The Grid Monitoring Architecture (GMA) specification sets out the requirements and constraints of any implementation. There are many systems that implement GMA but all have some drawbacks such as, difficult to install, single point of failure, or loss of control message. So we design a simple model after we analyze the requirements of Grid monitoring. We propose grid monitoring system based on GMA. The proposed grid monitoring system consists of producers, registry, consumers, and failover registry. The goals of it are the management and failure recovery. Load balancing (LB) should be added to the system to overcome the message overloaded. Load balancing algorithms can be static or dynamic. This paper evaluates the four types of static load balancing algorithms. We evaluate the performance of the system by measuring the response time, and throughput. Central Manager algorithm introduces the smallest response time and the highest throughput. So it is the best static load balancing algorithm.
机译:监视和管理网格计算组件的能力对于实现高性能分布式计算至关重要。网格监视体系结构(GMA)规范列出了任何实现的要求和约束。有许多实现GMA的系统,但是所有系统都有一些缺点,例如,安装困难,单点故障或控制消息丢失。因此,在分析了网格监视的需求之后,我们设计了一个简单的模型。我们提出了基于GMA的网格监控系统。提议的网格监视系统由生产者,注册表,使用者和故障转移注册表组成。它的目标是管理和故障恢复。应将负载平衡(LB)添加到系统中,以解决消息过载的问题。负载平衡算法可以是静态的也可以是动态的。本文评估了四种类型的静态负载平衡算法。我们通过测量响应时间和吞吐量来评估系统的性能。 Central Manager算法引入了最小的响应时间和最高的吞吐量。因此,它是最佳的静态负载平衡算法。

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