Distributed MapReduce Framework using Distributed Hash Table

被引：0

作者：

Chiu, Chuan-Feng ^{[1
]}

Hsu, Steen J. ^{[1
]}

Jan, Sen-Ren ^{[1
]}

机构：

[1] Minghsin Univ Sci & Technol, Dept Informat Management, Xinfeng Hsinchu, Taiwan

来源：

2013 INTERNATIONAL JOINT CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY & UBI-MEDIA COMPUTING (ICAST-UMEDIA) | 2013年

关键词：

cloud computing; MapReduce; Distributed Hash Tables;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In past years, Cloud computing is gained more attention in industry and academic area. The advance technologies are needed to match the demand of the development of cloud computing. MapReduce is one of the enabling technology. MapReduce is a programming model supporting parallel computation especially for data-intensive cloud computing applications. However, MapReduce needs a master node to coordinate the execution of the parallel computation. This may cause communication bottleneck and single point of failure error. Therefore, in this paper we propose a distributed MapReduce framework based on Distributed Hash Tables to support large scale cloud computing applications.

引用

页码：475 / 480

页数：6

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