DocumentCode :
3357977
Title :
Network measurement based redundancy model and maintenance in dynamic P2P storage systems
Author :
Xu, Guangping ; Zhang, Hua ; Liu, Xiaoguang ; Wang, Gang ; Xiaoguang Liu
Author_Institution :
Key Lab. of Intell. Comput. & New Software Technol., Tianjin Univ. of Technol., Tianjin, China
fYear :
2009
fDate :
14-16 Dec. 2009
Firstpage :
402
Lastpage :
409
Abstract :
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.
Keywords :
peer-to-peer computing; stochastic processes; dynamic P2P storage system maintenance; network measurement based redundancy model; network probing; network sampling; peer-to-peer distributed storage systems; redundancy maintenance strategy; stochastic model; Availability; Intelligent networks; Laboratories; Peer to peer computing; Redundancy; Sampling methods; Software measurement; Space technology; Stochastic processes; Stochastic systems; Availability; Maintenance; Model; Peer-to-peer Storage Systems; Redundancy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Performance Computing and Communications Conference (IPCCC), 2009 IEEE 28th International
Conference_Location :
Scottsdale, AZ
ISSN :
1097-2641
Print_ISBN :
978-1-4244-5737-3
Type :
conf
DOI :
10.1109/PCCC.2009.5403859
Filename :
5403859
Link To Document :
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