Maximizing Resilient Throughput in Peer-to-Peer Network

Abstract

A unique challenge in P2P network is that the peer dynamics (departure or failure) cause unavoidable disruption to the downstream peers. While many works have been dedicated to consider fault resilience in peer selection, little understanding is achieved regarding the solvability and solution complexity of this problem from the optimization perspective. To this end, we propose an optimization framework based on the generalized flow theory. Key concepts introduced by this framework include resilience factor, resilience index, and generalized throughput, which collectively model the peer resilience in a probabilistic measure. Under this framework, we divide the domain of optimal peer selection along several dimensions including network topology, overlay organization, and the definition of resilience factor and generalized flow. Within each subproblem, we focus on studying the problem complexity and finding optimal solutions. Simulation study is also performed to evaluate the effectiveness of our model and performance of the proposed algorithms.

Throughput of Hybrid UAV Networks With Scale-Free Topology

“…In order to alleviate congestion and reduce network response time, Defense Advanced Research Projects Agency (DARPA) [14] released a project called Content-Based Mobile Edge Networking (CBMEN) to effectively improve network throughput and reduce delay. Liu et al [15] modeled the relation between network resilience and network throughput, and maximized the throughput to improve the fault recovery ability of the network.…”