4.2 Article

Distributed agreement in dynamic peer-to-peer networks

Journal

JOURNAL OF COMPUTER AND SYSTEM SCIENCES
Volume 81, Issue 7, Pages 1088-1109

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcss.2014.10.005

Keywords

Dynamic networks; Distributed computation; Fault-tolerance; P2P networks; Agreement; Churn; Randomization

Funding

  1. Nanyang Technological University grant [M58110000]
  2. Ministry of Education - Singapore (MOE) Academic Research Fund (AcRF) Tier 2 grant [MOE2010-T2-2-082]
  3. US NSF grant [CCF-1023166]
  4. United States-Israel Binational Science Foundation (BSF) [2008348]
  5. Div Of Information & Intelligent Systems
  6. Direct For Computer & Info Scie & Enginr [1247581] Funding Source: National Science Foundation

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Motivated by the need for robust and fast distributed computation in highly dynamic Peer-to-Peer (P2P) networks, we present first-known, fully-distributed algorithms for the fundamental distributed agreement problem in dynamic networks that experience heavy node churn (i.e., nodes join and leave the network continuously over time). Our algorithms guarantee stable almost-everywhere agreement with high probability even under high adversarial churn and run in time that is polylogarithmic in n (which is the stable network size). Our first algorithm can tolerate a churn of up to epsilon n per time step, sends only polylogarithmic number of bits per node per time step, and works under an adversary that is oblivious to the algorithm's random choices. Our second algorithm, designed for the more challenging adaptive adversary, can tolerate a churn of up to epsilon root n. Being easy to implement, our algorithms could serve as building blocks for other non-trivial distributed computation in dynamic networks. (C) 2014 Elsevier Inc. All rights reserved.

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