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A Dynamic Task Allocation Algorithm Based on Weighted Velocity

机译:基于加权速度的动态任务分配算法

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Volunteer computing is a way of supporting people around the world who provide free computer resources, to participate in scientific calculation or data analysis on the Internet. This provides an effective solution to solve the problems of large scale of basic scientific computing and more computing resources requirements. Task allocation is a very important part of volunteer computing. An effective algorithm can significantly improve computational efficiency. At present, most of the existing tasks are divided in term of the computer hardware conditions or the initial state of the computer in the volunteer computing. It seems that this have no obvious impact to calculating efficiency in a short time, but this task will be less flexible when idle resources of the volunteer computing becomes less or more. To make full use of idle computer resources, a dynamic task allocation algorithm (TAA) based on weighted velocity was proposed in this work. The research results showed that the weighted velocity as a parameter can be used to test the computing performance of a computer, dynamically manage task allocation as well.
机译:志愿计算是一种支持世界各地提供免费计算机资源的人们参与互联网上科学计算或数据分析的方法。这为解决大规模基础科学计算和更多计算资源需求的问题提供了有效的解决方案。任务分配是志愿者计算的重要组成部分。有效的算法可以显着提高计算效率。当前,大多数现有任务按照志愿计算中的计算机硬件条件或计算机的初始状态进行划分。似乎这对短时间内的计算效率没有明显影响,但是当志愿者计算的空闲资源变得越来越少时,此任务的灵活性就会降低。为了充分利用闲置的计算机资源,提出了一种基于加权速度的动态任务分配算法(TAA)。研究结果表明,加权速度可以作为参数来测试计算机的计算性能,还可以动态管理任务分配。

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