Scheduling multi-task multi-agent systems

Rong Xie; Daniela Rus; Clifford Stein

doi:10.1145/375735.376036

ScienceGate Book Chapters

JOURNAL ARTICLE

Scheduling multi-task multi-agent systems

Rong Xie Daniela Rus Clifford Stein

Year: 2001 Pages: 159-160

DOI: 10.1145/375735.376036

Get Full-Text PDF Get Analytical Report

Abstract

We present a centralized and a distributed algorithms for scheduling multi-task agents in heterogeneous networks. Our centralized algorithm has an upper bound on the overall completion time and is used as a module in the distributed algorithm. Extensive simulations show promising results.

Keywords:

Computer science Distributed computing Scheduling (production processes) Processor scheduling Fair-share scheduling Fixed-priority pre-emptive scheduling Task analysis Dynamic priority scheduling Upper and lower bounds Two-level scheduling Distributed algorithm Rate-monotonic scheduling Task (project management) Parallel computing Mathematical optimization Computer network Quality of service Engineering Mathematics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.24

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Interconnection Networks and Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Embedded Systems Design Techniques

Physical Sciences → Computer Science → Hardware and Architecture

Distributed and Parallel Computing Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Scheduling multi-task multi-agent systems

Abstract

Metrics

Citation History

Topics

Related Documents

Multi Agent Systems for Multi Enterprise Scheduling

Multi-Agent Task Scheduling In University Environment

Distributed Multi-Task Assignment for Multi-Agent Systems

Multi-Agent Systems for Distributed Task Scheduling in High-Performance Computing

Task Scheduling Model Based on Multi-Agent and Multi-Objective Dynamical Scheduling Algorithm