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Algorithmic approach for applying load balancing during task migration in multi-core system

机译:多核系统中任务迁移期间应用负载平衡的算法方法

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As day by day multi core systems are increasing researchers are looking for various techniques to reduce power consumption and improve performance. In multi-core processors several cores are placed on the single grid and multiple tasks are distributed over these cores for processing [1]. Each core is responsible for the processing of the task allocated to it. This may lead to problems like load balancing on different cores, as various tasks are allocated to the single core. Now if there is a situation that a single core or a cluster of cores have large number of task to be executed while some of the cores remain free then there is a need of a technique called task migration. Task migration is not similar to load balancing in any aspect. In task migration only the migration of the task from overloaded core to other core is done but till now maintaining load balancing during task migration was an issue[2]. But if the load balancing is done at the time of the task migration then it will improve performance about 99%. This paper emphasis on various algorithms for load balancing during task migration in a multi-core system, so that number of tasks on different cores are distributed fairly. This paper also discusses the algorithms for deciding which task is to be migrated. With the help of these algorithms, performance and response time is improved to a great extent.
机译:随着日复一日的多核系统,越来越多的研究人员正在寻找各种技术来降低功耗并提高性能。在多核处理器中,几个核心放置在单个网格上,并且在这些核上分布了多个任务以进行处理[1]。每个核心负责处理分配给它的任务。这可能导致不同核心负载平衡等问题,因为各种任务被分配给单核。现在,如果有一个核心或核心群集的情况有大量的任务,而某些核心仍然是免费的,则需要一种称为任务迁移的技术。任务迁移与任何方面中的负载均衡都不类似。在任务迁移中,只能将任务从重载的核心迁移到其他核心,但直到现在在任务迁移期间维护负载平衡是一个问题[2]。但是如果在任务迁移时进行负载平衡,那么它将提高大约99%的性能。本文强调了多核系统中任务迁移期间负载平衡的各种算法,因此不同核心的任务数量相当分发。本文还讨论了决定要迁移的任务的算法。借助这些算法,在很大程度上提高了性能和响应时间。

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