By Topic

Network measurement based redundancy model and maintenance in dynamic P2P storage systems

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

5 Author(s)
Guangping Xu ; Key Lab. of Intell. Comput. & New Software Technol., Tianjin Univ. of Technol., Tianjin, China ; Hua Zhang ; Jing Liu ; Gang Wang
more authors

Peer-to-peer distributed storage systems aggregate the storage space of many peers spread over the Internet. Due to the dynamic and scalable nature of these systems, it is a challenging issue to access data in an available and reliable way through redundancy. Following the modeling methodology presented, we present the stochastic model to analyze redundancy evolution of these systems under churn. Different from the previous work based on the average peer availability, the stochastic model can be applied into the practice based on both conditional probabilities (alpha, theta) which can be obtained from network probing easily. First, we apply the model to characterize the redundancy evolution of a fragment system with temporary churn. Then, we use an empirical trace and a synthetic trace to validate the model. Second, based on the characteristics of different churn from the both probabilities, we propose the redundancy maintenance strategy assisted by network sampling. Our simulations evaluate the performance of the strategy driven by empirical and synthetic traces.

Published in:

Performance Computing and Communications Conference (IPCCC), 2009 IEEE 28th International

Date of Conference:

14-16 Dec. 2009