NDLI: Effective Data Density Estimation in Ring-Based P2P Networks

Content Provider	IEEE Xplore Digital Library
Author	Minqi Zhou Heng Tao Shen Xiaofang Zhou Weining Qian Aoying Zhou
Copyright Year	2012
Abstract	Estimating the global data distribution in Peer-to-Peer (P2P) networks is an important issue and has yet to be well addressed. It can benefit many P2P applications, such as load balancing analysis, query processing, and data mining. Inspired by the inversion method for random variate generation, in this paper we present a novel model named distribution-free data density estimation for dynamic ring-based P2P networks to achieve high estimation accuracy with low estimation cost regardless of distribution models of the underlying data. It generates random samples for any arbitrary distribution by sampling the global cumulative distribution function and is free from sampling bias. In P2P networks, the key idea for distribution-free estimation is to sample a small subset of peers for estimating the global data distribution over the data domain. Algorithms on computing and sampling the global cumulative distribution function based on which global data distribution is estimated are introduced with detailed theoretical analysis. Our extensive performance study confirms the effectiveness and efficiency of our methods in ring-based P2P networks.
Starting Page	594
Ending Page	605
File Size	1102010
Page Count	12
File Format	PDF
ISBN	9781467300421
ISSN	10844627
e-ISBN	9780769547473
DOI	10.1109/ICDE.2012.19
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Estimation Indexes Peer to peer computing Histograms Probability distribution Probability density function Distribution functions
Content Type	Text
Resource Type	Article
Subject	Signal Processing Information Systems Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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