Core Persistence in Peer-to-Peer Systems: Relating Size to Lifetime

TL;DR

This paper investigates how to maintain critical data in large, dynamic peer-to-peer networks by relating node set size and probing frequency to system churn, ensuring data persistence.

Contribution

It provides a formal relationship between the size and probing frequency of nodes needed to maintain data persistence under churn in P2P systems.

Findings

Derived a formula linking node set size to churn rate

Analyzed the impact of probing frequency on data persistence

Provided insights for designing resilient P2P overlay networks

Abstract

Distributed systems are now both very large and highly dynamic. Peer to peer overlay networks have been proved efficient to cope with this new deal that traditional approaches can no longer accommodate. While the challenge of organizing peers in an overlay network has generated a lot of interest leading to a large number of solutions, maintaining critical data in such a network remains an open issue. In this paper, we are interested in defining the portion of nodes and frequency one has to probe, given the churn observed in the system, in order to achieve a given probability of maintaining the persistence of some critical data. More specifically, we provide a clear result relating the size and the frequency of the probing set along with its proof as well as an analysis of the way of leveraging such an information in a large scale dynamic distributed system.