Design Dynamic Data Allocation Scheduler to Improve MapReduce Performance in Heterogeneous Clouds
碩士 === 東吳大學 === 資訊管理學系 === 100 === This paper conducts a thorough research on one of the critical technologies in cloud computing, MapReduce programming model. Some of past research results showed that their methods can be executed through allocating identical tasks to each cloud node for enhancing...
Main Authors: | Yi-Ru Chen, 陳奕儒 |
---|---|
Other Authors: | Shin-Jer Yang |
Format: | Others |
Language: | zh-TW |
Published: |
2012
|
Online Access: | http://ndltd.ncl.edu.tw/handle/15304604407060827949 |
Similar Items
-
Resource-proportional Job Allocation for MapReduce in Heterogeneous Clouds
by: Pan, Weifan, et al.
Published: (2011) -
Dynamic Grouping integrated Neighboring Search Job Allocation Scheduler for Hadoop MapReduce in Heterogeneous Computing Environments
by: Chi-TingChen, et al.
Published: (2015) -
Analysis of hadoop MapReduce scheduling in heterogeneous environment
by: Khushboo Kalia, et al.
Published: (2021-03-01) -
A Job Scheduling of Fair Resource Allocation with Energy-Saving for MapReduce Architecture in Cloud Computing
by: Jun-YiHsu, et al.
Published: (2012) -
A Task Scheduling Policy for Heterogeneous MapReduce Cluster
by: Chui-MingChiu, et al.
Published: (2012)