Optimizing Heavily Loaded Agents

Abstract

We develop algorithms to help scale software agents built on top of heterogeneous, legacy codebases. The algorithms apply to large data sets, to large volumes of workloads on agents, as well as algorithms for computationally intensive functions.

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Document Details

Document Type
Technical Report
Publication Date
Jun 10, 2003
Accession Number
ADA414341

Entities

People

  • V. S. Subrahmanian

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computations
  • Computer Access Control
  • Computer Science
  • Data Sets
  • Deployment
  • Engineering
  • Information Systems
  • Language
  • Military Operations
  • Multiagent Systems
  • Naval Warfare
  • Software Agents
  • United States
  • User Interface
  • Workload

Fields of Study

  • Computer science

Readers

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