title: Maximizing Remote Work in Flooding-based Peer-to-Peer Systems
creator: Sun, Qixiang
creator: Daswani, Neil
creator: Garcia-Molina, Hector
subject: Distributed Systems
description: In peer-to-peer (P2P) systems where individual peers must cooperate to process each other's requests, a useful metric for evaluating the system is how many remote requests are serviced by each peer. In this paper we apply this remote work metric to flooding-based P2P search networks like Gnutella. We study how to maximize the remote work in the entire network by controlling the rate of search query generation at each node. In particular, we provide a simple procedure for finding the rate of query generation and prove its optimality. We also show that a simple prefer-high-TTL protocol in which each peer processes only search queries with the highest time-to-live (TTL) is optimal. 
publisher: Stanford
date: 2003-02-05
type: Techreport
type: NonPeerReviewed
format: application/pdf
identifier: http://ilpubs.stanford.edu:8090/615/1/2003-5.pdf
identifier: Sun, Qixiang and Daswani, Neil and Garcia-Molina, Hector (2003) Maximizing Remote Work in Flooding-based Peer-to-Peer Systems. Technical Report. Stanford.
relation: http://ilpubs.stanford.edu:8090/615/