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PALM: Predicting Internet Network Distances Using Peer-to-Peer Measurements

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dc.creator Lehman, Li-wei
dc.creator Lerman, Steven
dc.date 2003-12-20T18:28:52Z
dc.date 2003-12-20T18:28:52Z
dc.date 2004-01
dc.date.accessioned 2013-10-09T02:33:41Z
dc.date.available 2013-10-09T02:33:41Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/3965
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description Landmark-based architecture has been commonly adopted in the networking community as a mechanism to measure and characterize a host's location on the Internet. In most existing landmark based approaches, end hosts use the distance measurements to a common, fixed set of landmarks to derive an estimated location on the Internet. This paper investigates whether it is possible for participating peer nodes in an overlay network to collaboratively construct an accurate geometric model of its topology in a completely decentralized peer-to-peer fashion, without using a fixed set of landmarks. We call such a peer-to-peer approach in topology discovery and modeling using landmarks PALM (Peers As LandMarks). We evaluate the performance characteristics of such a decentralized coordinates-based approach under several factors, including dimensionality of the geometric space, peer distance distribution, and the number of peer-to-peer distance measurements used. We evaluate two PALM-based schemes: RAND-PALM and ISLAND. In RAND-PALM, a peer node randomly selects from existing peer nodes as its landmarks. In ISLAND (Intelligent Selection of Landmarks), each peer node selects its landmarks by exploiting the topological information derived based on existing peer nodes' coordinates values.
dc.description Singapore-MIT Alliance (SMA)
dc.format 290205 bytes
dc.format application/pdf
dc.language en
dc.relation Molecular Engineering of Biological and Chemical Systems (MEBCS);
dc.subject landmark-based architecture
dc.subject Peers As LandMarks (PALM)
dc.subject peer-to-peer networks
dc.subject Intelligent Selection of Landmarks (ISLAND)
dc.subject RAND-PALM
dc.subject topology discovery and modeling
dc.title PALM: Predicting Internet Network Distances Using Peer-to-Peer Measurements
dc.type Article


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