基于模糊规则的移动电网容错检查点安排

Parmeet Kaur, P. Parwekar
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引用次数: 8

摘要

移动网格(mog)是分布式计算中的一个新兴领域,有望成为未来计算网格的重要组成部分。除了允许方便的用户访问网格之外,移动主机还可以充当网格中有价值的计算资源。然而,移动主机有资源的限制,如稳定的存储、无线带宽、电池电量等,还受到移动性和频繁断开连接的影响。因此,如果要在网格中有效地利用移动主机的计算能力,容错方案是必不可少的。提出了一种基于检查点的移动网格计算系统容错技术。采用基于模糊规则的系统(FRS)来构造一个有效的mog检查点安排。通过FRS,选择具有足够资源的优越节点作为检查点存储节点(Checkpoint Storage node, CSN),其他移动主机将其检查点数据传输到所选择的相邻CSN之一。FRS的目标是增加故障后检查点数据恢复的概率;从而允许分布式应用程序在MoG上成功完成其执行。仿真结果表明,与随机检查点排列相比,FRS具有更好的恢复概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy rule based checkpointing arrangement for fault tolerance in Mobile Grids
Mobile Grids (MoGs) are an emerging sphere in distributed computing and are expected to become a crucial part of computational Grids in future. Apart from allowing a convenient user access to the Grid, mobile hosts can act as valuable computing resources in the Grid. However, mobile hosts have limitations of resources such as stable storage, wireless bandwidth, battery power etc. and are also subject to mobility and frequent disconnections. Therefore, a fault tolerance scheme is essential if the computing power of mobile hosts has to be used effectively in the grids. This paper presents a checkpointing based fault tolerance technique for Mobile Grid computing systems. A Fuzzy Rule based system (FRS) is used to construct an efficient checkpointing arrangement for MoGs. With FRS, superior nodes, i.e., having sufficient resources, are selected as Checkpoint Storage Nodes (CSNs) and other mobile hosts transfer their checkpointed data to one of the selected neighboring CSN. The objective of FRS is to increase the probability of recovery of checkpointed data subsequent to a failure; thereby allowing a distributed application to complete its execution successfully on the MoG. Simulations show FRS's better recovery probabilities in comparison to a random checkpointing arrangement.
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