Title
P2P storage systems: Study of different placement policies.
Abstract
In a P2P storage system using erasure codes, a data block is encoded in many redundancy fragments. These fragments are then sent to distinct peers of the network. In this work, we study the impact of different placement policies of these fragments on the performance of storage systems. Several practical factors (easier control, software reuse, latency) tend to favor data placement strategies that preserve some degree of locality. We compare three policies: two of them are , in which the data are stored in logical neighbors, and the other one, , in which the data are spread randomly in the whole system. We focus on the study of the probability to lose a data block and the bandwidth consumption to maintain such redundancy. We use simulations to show that, without resource constraints, the average values are the same no matter which placement policy is used. However, the variations in the use of bandwidth are much more bursty under the policies. When the bandwidth is limited, these bursty variations induce longer maintenance time and henceforth a higher risk of data loss. We then show that a suitable degree of locality could be introduced in order to combine the efficiency of the global policy with the practical advantages of a local placement. Additionally, we propose a new strategy that greatly improves the performance of local placement strategies. Finally, we give analytical methods to estimate the mean time to the occurrence of data loss for the three policies.
Year
DOI
Venue
2014
https://doi.org/10.1007/s12083-013-0203-9
Peer-to-Peer Networking and Applications
Keywords
DocType
Volume
Distributed storage,P2P system,Data placement,Data life time,Mean time to data loss,Performance evaluation,Markov chains
Journal
7
Issue
ISSN
Citations 
4
1936-6442
1
PageRank 
References 
Authors
0.37
28
5
Name
Order
Citations
PageRank
Stéphane Caron17812.87
Frédéric Giroire219422.80
Dorian Mazauric38213.34
Julian Monteiro4654.54
Stéphane Pérennes522323.08