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A hybrid load balancing policy underlying grid computing environment

机译:网格计算环境下的混合负载平衡策略

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In recent years, network bandwidth and quality has been drastically improved, even much faster than the enhancement of computer performance. The various communication and computing tasks in the fields such as telecommunication, multimedia, information technology, and construction simulation, can be integrated and applied in a distributed computing environment nowadays. However, as the demands of many researches for computing resources gradually grow, Grid Computing integrated with a distributed computing environment and the Internet (network) has gained more attention. The so-called Grid Computing is to utilize the idle computing resources (nodes) on the network to facilitate the execution of complicated tasks that require large-scale computing. In other words, the composition of Grid resources is dynamic and varies with time. Thus, when selecting nodes for executing a task, the dynamic of the nodes in the Grid must be considered, and to exploit the effectiveness of the resources, they have to be properly selected according to the properties of the task. This study proposed a hybrid load balancing policy which integrated static and dynamic load balancing technologies to assist in the selection for effective nodes. In addition, if any selected node can no longer provide resources, it can be promptly identified and replaced with a substitutive node to maintain the execution performance and the load balancing of the system.
机译:近年来,网络带宽和质量得到了极大的提高,甚至比提高计算机性能要快得多。如今,诸如电信,多媒体,信息技术和建筑仿真等领域中的各种通信和计算任务都可以集成并应用于分布式计算环境中。然而,随着许多研究对计算资源的需求逐渐增长,与分布式计算环境和Internet(网络)集成的Grid Computing受到了越来越多的关注。所谓的网格计算就是利用网络上的空闲计算资源(节点)来促进需要大规模计算的复杂任务的执行。换句话说,网格资源的组成是动态的,并且随时间变化。因此,在选择用于执行任务的节点时,必须考虑网格中节点的动态性,并且为了利用资源的有效性,必须根据任务的属性适当选择它们。这项研究提出了一种混合负载均衡策略,该策略集成了静态和动态负载均衡技术以帮助选择有效节点。另外,如果任何选定的节点不再能够提供资源,则可以立即识别它并用替代节点替换它,以维持系统的执行性能和负载平衡。

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