Big Data Processing with Peer-To-Peer Architectures
Ph.D
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/80223 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
id |
sg-nus-scholar.10635-80223 |
---|---|
record_format |
dspace |
spelling |
sg-nus-scholar.10635-802232015-01-07T21:35:47Z Big Data Processing with Peer-To-Peer Architectures GOH WEI XIANG COMPUTER SCIENCE TAN KIAN LEE peer-to-peer, Big Data, MapReduce, scalability, fault-tolerance, elasticity Ph.D DOCTOR OF PHILOSOPHY 2014-09-30T18:01:31Z 2014-09-30T18:01:31Z 2014-06-20 Thesis GOH WEI XIANG (2014-06-20). Big Data Processing with Peer-To-Peer Architectures. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/80223 NOT_IN_WOS en |
institution |
National University of Singapore |
building |
NUS Library |
country |
Singapore |
collection |
ScholarBank@NUS |
language |
English |
topic |
peer-to-peer, Big Data, MapReduce, scalability, fault-tolerance, elasticity |
spellingShingle |
peer-to-peer, Big Data, MapReduce, scalability, fault-tolerance, elasticity GOH WEI XIANG Big Data Processing with Peer-To-Peer Architectures |
description |
Ph.D |
author2 |
COMPUTER SCIENCE |
author_facet |
COMPUTER SCIENCE GOH WEI XIANG |
format |
Theses and Dissertations |
author |
GOH WEI XIANG |
author_sort |
GOH WEI XIANG |
title |
Big Data Processing with Peer-To-Peer Architectures |
title_short |
Big Data Processing with Peer-To-Peer Architectures |
title_full |
Big Data Processing with Peer-To-Peer Architectures |
title_fullStr |
Big Data Processing with Peer-To-Peer Architectures |
title_full_unstemmed |
Big Data Processing with Peer-To-Peer Architectures |
title_sort |
big data processing with peer-to-peer architectures |
publishDate |
2014 |
url |
http://scholarbank.nus.edu.sg/handle/10635/80223 |
_version_ |
1681088854224797696 |