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A Framework for Distributed Dynamic Load Balancing in Heterogeneous Cluster | Science Publications

机译:异构集群中的分布式动态负载平衡框架科学出版物

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> Distributed Dynamic load balancing (DDLB) is an important system function destined to distribute workload among available processors to improve throughput and/or execution times of parallel computer in Cluster Computing. Instead of balancing the load in cluster by process migration, or by moving an entire process to a less loaded computer, we make an attempt to balance load by splitting processes into separate jobs and then balance them to nodes. In order to get target, we use mobile agent (MA) to distribute load among nodes in a cluster. In this study, a multi-agent framework for load balancing in heterogeneous cluster is given. Total load on node is calculated using queue length which is measured as the total number of processes in queue. We introduce types of agents along with policies needed to meet the requirements of the proposed load-balancing. Different metrics are used to compare load balancing mechanism with the existing message passing technology. The experiment is carried out on cluster of PC's divided into multiple LAN's using PMADE (Platform for Mobile agent distribution and execution). Preliminary experimental results demonstrated that the proposed framework is effective than the existing ones.
机译: >分布式动态负载平衡(DDLB)是一项重要的系统功能,旨在在可用处理器之间分配工作负载,以提高集群计算中并行计算机的吞吐量和/或执行时间。与其通过进程迁移来平衡群集中的负载,也不是通过将整个进程移动到负载较小的计算机来平衡负载,我们尝试通过将进程拆分为单独的作业,然后将它们平衡到节点来平衡负载。为了获得目标,我们使用移动代理(MA)在群集中的节点之间分配负载。在这项研究中,给出了用于异构集群中负载平衡的多主体框架。节点上的总负载是使用队列长度计算的,该长度测量为队列中进程的总数。我们介绍代理的类型以及满足建议的负载平衡要求所需的策略。使用不同的指标将负载平衡机制与现有的消息传递技术进行比较。使用PMADE(移动代理分发和执行平台)在分成多个LAN的PC集群上进行实验。初步实验结果表明,提出的框架比现有框架有效。

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