Paper Info
Title
An Overlay-Based Data Mining Architecture Tolerant to Physical Network Disruptions
Abstract
Management scheme for highly scalable big data mining has not been well studied in spite of the fact that big data mining provides many valuable and important information for us. An overlay-based parallel data mining architecture, which executes fully distributed data management and processing by employing the overlay network, can achieve high scalability. However, the overlay-based parallel mining architecture is not capable of providing data mining services in case of the physical network disruption that is caused by router/communication line breakdowns because numerous nodes are removed from the overlay network. To cope with this issue, this paper proposes an overlay network construction scheme based on node location in physical network, and a distributed task allocation scheme using overlay network technology. The numerical analysis indicates that the proposed schemes considerably outperform the conventional schemes in terms of service availability against physical network disruption.
Year
DOI
Venue
2014
10.1109/TETC.2014.2330517
Emerging Topics in Computing, IEEE Transactions
Keywords
Field
DocType
Big Data,data mining,numerical analysis,parallel processing,resource allocation,big data mining,distributed data management,distributed task allocation scheme,node location,numerical analysis,overlay network construction scheme,overlay-based parallel data mining architecture,physical network disruptions,Big data mining,neighbor selection,overlay network,physical network disruption,service availability,task allocation
Data mining,Data stream mining,Architecture,Computer science,Server,Computer network,Router,Overlay,Data management,Overlay network,Distributed computing,Scalability
Journal
Volume
Issue
ISSN
2
3
2168-6750
Citations 
PageRank 
References 
3
0.38
14
Authors
4
Name
Order
Citations
PageRank
Suto, K.1141.67
Hiroki Nishiyama2128592.61
Nei Kato33982263.66
Mizutani, K.4232.72