Relative MTTF-Based Incentive Scheme for Availability-Based Replication in P2P Systems

When P2P systems are used for data sensitive systems, the data availability has become an important issue. The availabilitybased replication using individual node availability is the most popular method keeping high data availability efficiently. However, since the individual node availability is derived by the individual lifetime information of each node, the availability-based replication may select useless replicas. In this paper, we explore the relative MTTF(Mean Time To Failure)-based incentive scheme for the more efficient availability-based replication. The relative MTTF is used to classify the guaranteed replicas which can get the incentive node availability, and these replicas help reduce the data traffic and the number of replicas without losing the target data availability. Results from trace-driven simulations show that the replication using our relative MTTF -based incentive scheme achieves the same target data availability with 41% less data traffic and 24% less replicas. key words: P2P, Availability, Replication, MTTF, Incentive