AGNO: An Adaptive Group Communication Scheme for Unstructured P2P Networks

Abstract

We present the Adaptive Group Notification (AGNO) scheme for efficiently contacting large peer populations in unstructured Peer-to-Peer networks. AGNO defines a novel implicit approach towards group membership by monitoring demand for content as this is expressed through lookup operations. Utilizing search indices, together with a small number of soft-state shortcuts, AGNO achieves effective and bandwidth-efficient content dissemination, without the cost and restrictions of a membership protocol or a DHT. We present several simulation results over different topologies using both synthetic and real workloads, to evaluate its performance. Our method achieves high-success content transmission at a cost at least two times smaller than proposed techniques for unstructured networks.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
ADA455758

Entities

People

  • Dimitrios Tsoumakos
  • Nick Roussopoulos

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Bandwidth
  • Computations
  • Computer Networks
  • Computer Science
  • Electronic Mail
  • Electronic Messaging
  • Environment
  • Internet
  • Intervals
  • Network Science
  • Networks
  • Phase
  • Simulations
  • Standards
  • Universities
  • Workload

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.