Decentralized job scheduling in the cloud based on a spatially generalized \textit{Prisoner's Dilemma} game

DOI10.1515/amcs-2015-0053zbMath1347.68033OpenAlexW2405427467MaRDI QIDQ326996

Franciszek Seredyński, Jakub Gąsior

Publication date: 13 October 2016

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/amcs-2015-0053

zbMATH Keywords

cellular automatamultiobjective optimizationgenetic algorithmjob schedulingprisoner's dilemma

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Applications of game theory (91A80) Approximation methods and heuristics in mathematical programming (90C59) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20) Cellular automata (computational aspects) (68Q80)

Related Items (1)

A hybrid scheduler for many task computing in big data systems

Cites Work

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• Scheduling parallel batch jobs in grids with evolutionary metaheuristics
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• A flexible framework for fault tolerance in the grid
• On a Membrane Formation in a Spatio-temporally Generalized Prisoner’s Dilemma
• Convergence time to Nash equilibrium in load balancing

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