Reducing Communication Overhead and Computation Costs in a Cloud Network by Early Combination of Partial Results
碩士 === 國立中山大學 === 資訊工程學系研究所 === 99 === This thesis describes a method of reducing communication overheads within the MapReduce infrastructure of a cloud computing environment. MapReduce is an framework for parallelizing the processing on massive data systems stored across a distributed computer netw...
Main Authors: | Jun-neng Huang, 黃俊能 |
---|---|
Other Authors: | Steve W.Haga |
Format: | Others |
Language: | en_US |
Published: |
2011
|
Online Access: | http://ndltd.ncl.edu.tw/handle/09176936188923723605 |
Similar Items
-
Reducing communication overheads in a cloud environment throughunix-like features
by: Wei pan, et al.
Published: (2011) -
Combining replication and checkpointing redundancies for reducing resiliency overhead
by: Hassan Motallebi
Published: (2020-04-01) -
Reducing Test Cost of Sequential Machines with Lower Hardware Overhead
by: 王啟信
Published: (1994) -
Reducing Computational Overhead by Improving the CRI and IRI Implication Step
by: Thoai Phu Vo, et al.
Published: (2015-01-01) -
Reducing Computational Overhead by Improving the CRI and IRI Implication Step
by: Vo Phu Thoai, et al.
Published: (2015)