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Authors: Denis Nasonov ; Mikhail Melnik ; Natalya Shindyapina and Nikolay Butakov

Affiliation: ITMO University, Russian Federation

ISBN: 978-989-758-157-1

Keyword(s): Scheduling Algorithm, Coevolution, Workflow, Metaheuristic, Virtual Machine, Cloud Environment.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Co-Evolution and Collective Behavior ; Computational Intelligence ; Concurrent Co-Operation ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: Today technological progress makes scientific community to challenge more and more complex issues related to computational organization in distributed heterogeneous environments, which usually include cloud computing systems, grids, clusters, PCs and even mobile phones. In such environments, traditionally, one of the most frequently used mechanisms of computational organization is the Workflow approach. Taking into account new technological advantages, such as resources virtualization, we propose new coevolution approaches for workflow scheduling problem. The approach is based on metaheuristic coevolution that evolves several diverse populations that influence each other with final positive effect. Besides traditional population, that optimizes tasks execution order and task's map to the computational resources, additional populations are used to change computational environment to gain more efficient optimization. As a result, proposed scheduling algorithm optimizes both computation tasks to computation environment and computation environment to computation tasks, making final execution process more efficient than traditional approaches can provide. (More)

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Paper citation in several formats:
Nasonov, D.; Melnik, M.; Shindyapina, N. and Butakov, N. (2015). Metaheuristic Coevolution Workflow Scheduling in Cloud Environment.In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA, ISBN 978-989-758-157-1, pages 252-260. DOI: 10.5220/0005599402520260

@conference{ecta15,
author={Denis Nasonov. and Mikhail Melnik. and Natalya Shindyapina. and Nikolay Butakov.},
title={Metaheuristic Coevolution Workflow Scheduling in Cloud Environment},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,},
year={2015},
pages={252-260},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005599402520260},
isbn={978-989-758-157-1},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,
TI - Metaheuristic Coevolution Workflow Scheduling in Cloud Environment
SN - 978-989-758-157-1
AU - Nasonov, D.
AU - Melnik, M.
AU - Shindyapina, N.
AU - Butakov, N.
PY - 2015
SP - 252
EP - 260
DO - 10.5220/0005599402520260

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