Multi-heuristic dynamic task allocation using genetic algorithms in a heterogeneous distributed system

DOI10.1016/J.JPDC.2010.03.011zbMath1233.68078OpenAlexW2017709142WikidataQ33700288 ScholiaQ33700288MaRDI QIDQ666168

Thomas M. Keane, Thomas J. Naughton, Andrew J. Page

Publication date: 7 March 2012

Published in: Journal of Parallel and Distributed Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jpdc.2010.03.011

zbMATH Keywords

schedulinggenetic algorithmsdistributed computingheterogeneous

Mathematics Subject Classification ID

Distributed systems (68M14)

Related Items (1)

Graph approach to job assignment in distributed real-time systems

Uses Software

• DPRml
• DSEARCH

Cites Work

• Unnamed Item
• Unnamed Item
• Optimization by Simulated Annealing
• Multiprocessor scheduling with interprocessor communication delays
• Future paths for integer programming and links to artificial intelligence
• Benchmarking and comparison of the task graph scheduling algorithms
• A public key cryptosystem and a signature scheme based on discrete logarithms
• Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors
• A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems

This page was built for publication: Multi-heuristic dynamic task allocation using genetic algorithms in a heterogeneous distributed system