By Topic

Time Series Analysis of P2P Networks to Improve Data Availability

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Nazir, S. ; Digital Enterprise Res. Inst., Nat. Univ. of Ireland, Galway, Galway, Ireland ; Hauswirth, M.

In this paper we present a replication approach which utilizes the availability information of nodes in the network. By performing Box-Jenkins's ARIMA model on the availability information, a prediction model is devised which helps to predict the future availability of the node. Based on this information highly requested data is replicated to nodes which complement each others availability in the network. This improves the overall availability and reduces the overlapping availability and reduces the excess storage for each replica. We have performed our evaluation on Kadamlia network. The Analysis showsour replication algorithm keeps data sustainable in the network. In our evaluation we show that life patterns along with the availability of nodes can be used to improve overall data availability. Our approach reduces over head compared to existing approaches to data availability.

Published in:

Advanced Information Networking and Applications (AINA), 2011 IEEE International Conference on

Date of Conference:

22-25 March 2011