Improving Data Availability through Dynamic Model-Driven Replication in Large Peer-to-Peer Communities. Ranganathan, K., Iamnitchi, A., & Foster, I. 2002.
Improving Data Availability through Dynamic Model-Driven Replication in Large Peer-to-Peer Communities [link]Paper  abstract   bibtex   
Efficient data sharing in global peer-to-peer systems is complicated by erratic node failure, unreliable networkconnectivity and limited bandwidth.Replicating data onmultiple nodes can improve availability and response time.Yet determining when and where to replicate data in orderto meet performance goals in large-scale systems withmany users and files, dynamic network characteristics, and changing user behavior is difficult.We propose anapproach in which peers create replicas automatically in a decentralized fashion, as required to meet availabilitygoals.The aim of our framework is to maintain a thresholdlevel of availability at all times.We identify a set of factors that hinder data availabilityand propose a model that decides when more replication isnecessary.We evaluate the accuracy and performance ofthe proposed model using simulations.Our preliminaryresults show that the model is effective in predicting therequired number of replicas in the system.
@conference {873217,
	title = {Improving Data Availability through Dynamic Model-Driven Replication in Large Peer-to-Peer Communities},
	booktitle = {CCGRID {\textquoteright}02: Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid},
	year = {2002},
	pages = {376},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Washington, DC, USA},
	abstract = {Efficient data sharing in global peer-to-peer systems is complicated by erratic node failure, unreliable networkconnectivity and limited bandwidth.Replicating data onmultiple nodes can improve availability and response time.Yet determining when and where to replicate data in orderto meet performance goals in large-scale systems withmany users and files, dynamic network characteristics, and changing user behavior is difficult.We propose anapproach in which peers create replicas automatically in a decentralized fashion, as required to meet availabilitygoals.The aim of our framework is to maintain a thresholdlevel of availability at all times.We identify a set of factors that hinder data availabilityand propose a model that decides when more replication isnecessary.We evaluate the accuracy and performance ofthe proposed model using simulations.Our preliminaryresults show that the model is effective in predicting therequired number of replicas in the system.},
	keywords = {data sharing, model-driven, P2P},
	isbn = {0-7695-1582-7},
	url = {http://portal.acm.org/citation.cfm?id=873217$\#$},
	author = {Ranganathan, Kavitha and Iamnitchi, Adriana and Foster, Ian}
}

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