论文标题

通过最佳降低检查点效应来改善网格计算性能

Improving Grid Computing Performance by Optimally Reducing Checkpointing Effect

论文作者

Aliyu, Garba, D., Kana A. F., Mohammed, Abdullahi, Abdulmumin, Idris, Adamu, Shehu, Jauro, Fatsuma

论文摘要

电网计算是一系列计算机资源,它们从各个领域聚集在一起,以提供存储,数据或应用程序服务等计算资源。这是为了允许客户访问这一巨大的处理资源,而无需知道可以找到这些资源以及使用了哪些技术,诸如硬件设备和操作系统之类的技术。可靠性和性能是在网格计算环境中面临的关键困难之一。文献中已经提出了各种系统来处理网格计算环境中资源故障的回收。这种系统的一种情况是检查点。检查点是一个系统,当资源失败时会忍受故障。检查点方法具有减少由于资源故障而损失的工作的好处。但是,检查点呈现出巨大的运行时间开销。在本文中,我们提出了一个改进的检查点系统,以降低运行时开销。添加复制品以确保资源的可用性。这将所有检查点复制到其他机器,而不是拥有专用检查点计算机。采用网格示例的模拟结果指出,保留固定的资源数量并改变了烤架的数量,在Makepan,吞吐量和周期时间内分别获得了11%,9%和11%的收益,同时更改资源的数量,并保留了固定的格栅数量,并保留了固定的格栅数量,最多增加了8%和9%,并在8%和9%的范围内,并在9%和9%的情况下进行了范围,并在9%和9%的情况下进行了指示。

Grid computing is a collection of computer resources that are gathered together from various areas to give computational resources such as storage, data or application services. This is to permit clients to access this huge measure of processing resources without the need to know where these might be found and what technology such as, hardware equipment and operating system was used. Dependability and performance are among the key difficulties faced in a grid computing environment. Various systems have been proposed in the literature to handle recouping from resource failure in Grid computing environment. One case of such system is checkpointing. Checkpointing is a system that endures faults when resources failed. Checkpointing method has the upside of lessening the work lost because of resource faults. However, checkpointing presents a huge runtime overhead. In this paper, we propose an improved checkpointing system to bring down runtime overhead. A replica is added to ensure the availability of resources. This replicates all checkpointing files to other machines as opposed to having dedicated checkpointing machine. The results of simulation employing GridSim noted that retaining the number of resources fixed and changing the number of gridlets, gains of up to 11%, 9%, and 11% on makespan, throughput, and turnaround time respectively were realized while changing the number of resources and preserving the number of gridlets fixed, increases of up to 11%, 8%, and 9% on makespan, throughput, and turnaround time respectively, were realized

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