NDLI: Dynamic Semantic Data Replication for K-Random Search in Peer-to-Peer Networks

Content Provider	IEEE Xplore Digital Library
Author	Xiaoqi Cao Klusch, M.
Copyright Year	2012
Abstract	We present a dynamic semantic data replication scheme called DSDR for classic k-random search in unstructured peer-to-peer (P2P) networks. During its k-random search each peer periodically updates its local view on the semantic overlay of the network based on observed queries (demand) and received information about provided items (supply), in particular their semantics. Peers dynamically form potentially overlapping groups for semantically equivalent or similar items they are actually demanding. Besides, each peer predicts the number of needed item replicas in the future based on its local observations in the past. The decision of which item to best replicate to which member is made within each demander group based on the maximal expected utility, traffic costs, and plausibility of such replication. Our experimental evaluation evidences that k-random search with DSDR-based replication can significantly outperform its combination with a near-optimal but non-semantic replication strategy, as well as a peer expertise-based semantic P2P search without replication.
Starting Page	20
Ending Page	27
File Size	795294
Page Count	8
File Format	PDF
ISBN	9781467322140
DOI	10.1109/NCA.2012.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantics Peer to peer computing Ontologies Complexity theory Resource description framework Waste materials unstructured P2P networks semantic overlay data replication
Content Type	Text
Resource Type	Article

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