Satrap: Data and Network Heterogeneity Aware P2P Data-mining

Distributed classification aims to build an accurate classifier by learning from distributed data while reducing computation and communication cost A P2P network where numerous users come together to share resources like data content, bandwidth, storage space and CPU resources is an excellent platfo...

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Main Authors: ANG, Hock Kee, Gopalkrishnan, Vivekanand, DATTA, Anwitaman, NG, Wee Keong, HOI, Steven C. H.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2010
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Online Access:https://ink.library.smu.edu.sg/sis_research/2366
https://ink.library.smu.edu.sg/context/sis_research/article/3366/viewcontent/chp_3A10.1007_2F978_3_642_13672_6_7.pdf
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spelling sg-smu-ink.sis_research-33662016-01-14T05:53:20Z Satrap: Data and Network Heterogeneity Aware P2P Data-mining ANG, Hock Kee Gopalkrishnan, Vivekanand DATTA, Anwitaman NG, Wee Keong HOI, Steven C. H. Distributed classification aims to build an accurate classifier by learning from distributed data while reducing computation and communication cost A P2P network where numerous users come together to share resources like data content, bandwidth, storage space and CPU resources is an excellent platform for distributed classification However, two important aspects of the learning environment have often been overlooked by other works, viz., 1) location of the peers which results in variable communication cost and 2) heterogeneity of the peers' data which can help reduce redundant communication In this paper, we examine the properties of network and data heterogeneity and propose a simple yet efficient P2P classification approach that minimizes expensive inter-region communication while achieving good generalization performance Experimental results demonstrate the feasibility and effectiveness of the proposed solution. 2010-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/2366 info:doi/10.1007/978-3-642-13672-6_7 https://ink.library.smu.edu.sg/context/sis_research/article/3366/viewcontent/chp_3A10.1007_2F978_3_642_13672_6_7.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Sciences Databases and Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Computer Sciences
Databases and Information Systems
spellingShingle Computer Sciences
Databases and Information Systems
ANG, Hock Kee
Gopalkrishnan, Vivekanand
DATTA, Anwitaman
NG, Wee Keong
HOI, Steven C. H.
Satrap: Data and Network Heterogeneity Aware P2P Data-mining
description Distributed classification aims to build an accurate classifier by learning from distributed data while reducing computation and communication cost A P2P network where numerous users come together to share resources like data content, bandwidth, storage space and CPU resources is an excellent platform for distributed classification However, two important aspects of the learning environment have often been overlooked by other works, viz., 1) location of the peers which results in variable communication cost and 2) heterogeneity of the peers' data which can help reduce redundant communication In this paper, we examine the properties of network and data heterogeneity and propose a simple yet efficient P2P classification approach that minimizes expensive inter-region communication while achieving good generalization performance Experimental results demonstrate the feasibility and effectiveness of the proposed solution.
format text
author ANG, Hock Kee
Gopalkrishnan, Vivekanand
DATTA, Anwitaman
NG, Wee Keong
HOI, Steven C. H.
author_facet ANG, Hock Kee
Gopalkrishnan, Vivekanand
DATTA, Anwitaman
NG, Wee Keong
HOI, Steven C. H.
author_sort ANG, Hock Kee
title Satrap: Data and Network Heterogeneity Aware P2P Data-mining
title_short Satrap: Data and Network Heterogeneity Aware P2P Data-mining
title_full Satrap: Data and Network Heterogeneity Aware P2P Data-mining
title_fullStr Satrap: Data and Network Heterogeneity Aware P2P Data-mining
title_full_unstemmed Satrap: Data and Network Heterogeneity Aware P2P Data-mining
title_sort satrap: data and network heterogeneity aware p2p data-mining
publisher Institutional Knowledge at Singapore Management University
publishDate 2010
url https://ink.library.smu.edu.sg/sis_research/2366
https://ink.library.smu.edu.sg/context/sis_research/article/3366/viewcontent/chp_3A10.1007_2F978_3_642_13672_6_7.pdf
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