NDLI: Improving the Lookup Performance of Chord Network by Hashing Landmark Clusters

Content Provider	IEEE Xplore Digital Library
Author	Yun-Shuai Yu Yu-Ben Miao Ce-Kuen Shieh
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan (Yun-Shuai Yu)
Abstract	DHTs are efficient peer-to-peer systems which can locate objects within an bounded amount of overlay hops. Originally, those systems don't exploit network proximity in the underlying Internet and lead to high latency when searching a target. Recently, some approaches, such as random landmarking (RLM) and lookup-parasitic random sampling (LPRS), have been suggested to build topology-aware overlay to improve the lookup efficiency. Although these approaches help the nodes in P2P system to be aware of the underlying network, they do a limited improvement because of their proximity neighbor selection. In this paper, a hashing landmark clusters (HLC) method is proposed to improve the performance of chord by improving the accuracy of proximity mapping between overlay network and physical network. The analysis demonstrates that our approach can reduce the lookup latency better than RLM & LPRS can
Starting Page	1
Ending Page	4
File Size	4970337
Page Count	4
File Format	PDF
ISBN	0780397460
ISSN	15566463
DOI	10.1109/ICON.2006.302674
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-13
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Peer to peer computing Fingers Delay Network topology Routing Sampling methods Communication industry IP networks Degradation Uncertainty
Content Type	Text
Resource Type	Article

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