Abstract:
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...Show MoreMetadata
Abstract:
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.
Published in: 2013 International Joint Conference on Awareness Science and Technology & Ubi-Media Computing (iCAST 2013 & UMEDIA 2013)
Date of Conference: 02-04 November 2013
Date Added to IEEE Xplore: 13 March 2014
Electronic ISBN:978-1-4799-2364-9