Integration of task abortion and security requirements in GA-based meta-heuristics for independent batch grid scheduling

DOI10.1016/j.camwa.2011.07.038zbMath1238.68042OpenAlexW2051978119WikidataQ61736362 ScholiaQ61736362MaRDI QIDQ418341

Fatos Xhafa, Joanna Kolodziej

Publication date: 28 May 2012

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2011.07.038

zbMATH Keywords

schedulingsecuritygenetic algorithmgrid simulationcomputational gridresource reliability

Mathematics Subject Classification ID

Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)

Related Items (4)

Task scheduling using two-phase variable neighborhood search algorithm on heterogeneous computing and grid environments ⋮ Optimization of resource control for transitions in complex systems ⋮ A security framework in G-Hadoop for big data computing across distributed cloud data centres ⋮ Using a particle swarm method to optimize the weighting in extension theory for the detection of islanding in photovoltaic systems

Uses Software

• GridSim
• Genocop

Cites Work

• Unnamed Item
• Efficient batch job scheduling in grids using cellular memetic algorithms
• A flexible framework for fault tolerance in the grid
• GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing
• A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems

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