Towards an Adaptive Economic Society of Peers

Abstract

This paper presents our on-going research into self-organizing and self-healing networks of resource brokers, for use in complex Peer-to-Peer (P2P) resource sharing and Grid computing application environments. It discusses our objectives for an efficient, robust, and de-centrally controlled infrastructure, and describes our efforts to understand the co-dependencies between protocols, topologies, and continuously changing environmental conditions. Motivated by dynamic social and economic systems, our research project is nicknamed AESOP, for Adaptive Economic Society Of Peers. We discuss our specific investigations into adaptive topologies for flooding-based distributed search protocols, Genetic Algorithm explorations seeking good topological structures, and current work to develop an agent-based simulation to investigate the effects of peer transience on P2P join and topology maintenance protocols.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
AD1112597

Entities

People

  • Paul E. Silvey

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Algorithms
  • Bandwidth
  • Climate Change
  • Complex Systems
  • Computer Networks
  • Computer Science
  • Computers
  • Demographic Cohorts
  • Diameters
  • Distributed Computing
  • Environment
  • Floods
  • Genetic Algorithms
  • Information Processing
  • Information Retrieval
  • Infrastructure
  • Network Topology
  • Networks
  • Simulations
  • Social Networks
  • Statistical Mechanics
  • Test Beds

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Networking
  • Economics

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Biotechnology