This thesis describes an approach to add functionality and improved performance to the
Hadoop infrastructure for cloud computing. In particular, we have added code to the Hadoop
source files, to allow unix scripts to run on the task nodes of the cloud, from within the
mapper phase of Hadoop execution.
Our results show that the new approach is easier to program than other alternatives, more
easy to understand for experienced UNIX programmers, more powerful in terms of the kinds
of computations that are possible, and as fast or faster to compute than would be the
alternatives.
Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0217111-001208 |
Date | 17 February 2011 |
Creators | pan, Wei |
Contributors | Chung-Nan Lee, Stevewhaga, Ming-chao¡@chiang |
Publisher | NSYSU |
Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0217111-001208 |
Rights | not_available, Copyright information available at source archive |
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