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Accession Number:

AD1112597

Title:

Towards an Adaptive Economic Society of Peers

Author(s):

• Silvey, Paul E.

Author Organization(s):

• MITRE CORP MCLEAN VA

Report Date:

2004-01-01

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.

Document Type:

Conference:

Journal:

Pages:

6

File Size:

0.37MB

Contracts:

Grants:

Descriptors:

• computer networks
• algorithms
• genetic algorithms
• information processing
• network topology
• computers
• simulations
• complex systems
• computer science
• information retrieval
• networks
• social networks
• statistical mechanics
• test beds
• agent-based simulations
• bandwidth
• demographic cohorts
• diameters
• distributed computing
• environment

Identifiers:

• dynamic networks

SubjectCategory:

• Mathematical and Computer Sciences

Communities of Interest:

• Energy and Power Technologies

Distribution Statement:

Approved For Public Release

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