CLOUDLET: Towards MapReduce Implementation on Virtual Machines

被引：0
|
作者：
Ibrahim, Shadi [1 ]
Jin, Hai [1 ]
Cheng, Bin [1 ]
Cao, Haijun [1 ]
Wu, Song [1 ]
Qi, Li
机构：
[1] Huazhong Univ Sci & Technol, Cluster & Grid Comp Lab, Serv Comp Technol & Syst Lab, Wuhan 430074, Peoples R China
来源：
HPDC'09: 18TH ACM INTERNATIONAL SYMPOSIUM ON HIGH PERFORMANCE DISTRIBUTED COMPUTING | 2009年
关键词：
Data Intensive; MapReduce; Hadoop; Virtual Machine;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The existing MapReduce framework in virtualized environment suffers from poor performance, due to the heavy overhead of I/O virtualization, and management difficulty for storage and computation. To address the problems, we propose Cloudlet, a novel MapReduce framework on virtual machines. The aim of Cloudlet design is to overcome the overhead of VM while benefiting of the other features of VM (i.e. management and reliability issues).
引用
收藏
页码：65 / 66
页数：2
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