Resource Control in Large-Scale Mobile-Agents Systems

Abstract

This project aimed at gaining a better understanding of mobile-agent systems, and in particular their scalability and ability to interoperate with other mobile-agent systems. Using models, simulation, and large-scale experiments, and collaborating with the developers of other mobile-agent systems, we performed the first and (to date) most extensive scalability analysis of mobile-agent software. We compared their performance on information-retrieval tasks common to many application domains. We explored their performance benefits in a wireless-network environment. We developed technology that allows a mobile agent written for one mobile-agent system to migrate to and execute in a different mobile-agent system. We also expanded our prior work on the security of mobile agents.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2005
Accession Number
ADA436345

Entities

People

  • Daniela L. Rus
  • David Kotz
  • George Cybenko
  • Javed Aslam
  • Robert S. Gray

Organizations

  • Dartmouth College

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Computer Access Control
  • Computer Networks
  • Computer Science
  • Computers
  • Heterogeneous Networks
  • Information Processing
  • Information Retrieval
  • Information Systems
  • Mesh Networks
  • Network Protocols
  • Network Science
  • Operating Systems
  • Sensor Networks
  • Software Agents
  • Wireless Communications
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems