HPCLOUD: A novel fault tolerant architectural model for hierarchical MapReduce

R. Gangeshwari, J. Subbiah, K. Malathy, D. H. Miriam
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引用次数: 9

Abstract

MapReduce algorithm is a scheduling algorithm that can be used to process large amounts of data efficiently. Process scheduling is an application that uses the mapreduce technique. Hyper Cubic Peer-to-Peer Cloud (HPCLOUD) is a structured peer to peer framework implemented on a cloud environment on which mapreduce technique can be applied for process scheduling. In addition, fault tolerance and load balancing can be achieved on the HPCLOUD architecture. The performance evaluation shows that system proposed to demonstrate improved performance in terms of response time with respect to increase in number of files.
HPCLOUD:一种新的分层MapReduce容错架构模型
MapReduce算法是一种可以高效处理大量数据的调度算法。进程调度是一个使用mapreduce技术的应用程序。超立方点对点云(hypercubic peer -to- peer Cloud, HPCLOUD)是在云环境下实现的结构化点对点框架,在该框架上可以应用mapreduce技术进行进程调度。此外,HPCLOUD架构还可以实现容错和负载均衡。性能评价表明,随着文件数量的增加,系统在响应时间方面的性能有所提高。
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