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Authors: Nikolay Butakov ; Denis Nasonov and Alexander Boukhanovsky

Affiliation: e-Science Research Institute and ITMO University, Russian Federation

Keyword(s): Genetic Algorithm, HEFT, Evolution, Workflow Scheduling, GAHEFT.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolution Strategies ; Evolutionary Computing ; Genetic Algorithms ; Hybrid Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: State-of-the-art distributed computational environments requires increasingly flexible and efficient workflow scheduling procedures in order to satisfy the increasing requirements of the scientific community. In this paper, we present a novel, nature-inspired scheduling approach based on the leveraging of inherited populations in order to increase the quality of generated planning solutions for the occurrence of system events such as a computational resources crash or a task delay with the rescheduling phase .The proposed approach is based on a hybrid algorithm which was described in our previous work and includes strong points of list-based heuristics and evolutionary meta-heuristics principles. In this paper we also experimentally show that the proposed extension of hybrid algorithms generates more effective solutions than the basic one in dynamically heterogeneous computational changing environments.

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Paper citation in several formats:
Butakov, N.; Nasonov, D. and Boukhanovsky, A. (2014). Evolutionary Inheritance in Workflow Scheduling Algorithms within Dynamically Changing Heterogeneous Environments. In Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2014) - ECTA; ISBN 978-989-758-052-9, SciTePress, pages 160-168. DOI: 10.5220/0005035201600168

@conference{ecta14,
author={Nikolay Butakov. and Denis Nasonov. and Alexander Boukhanovsky.},
title={Evolutionary Inheritance in Workflow Scheduling Algorithms within Dynamically Changing Heterogeneous Environments},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2014) - ECTA},
year={2014},
pages={160-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005035201600168},
isbn={978-989-758-052-9},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2014) - ECTA
TI - Evolutionary Inheritance in Workflow Scheduling Algorithms within Dynamically Changing Heterogeneous Environments
SN - 978-989-758-052-9
AU - Butakov, N.
AU - Nasonov, D.
AU - Boukhanovsky, A.
PY - 2014
SP - 160
EP - 168
DO - 10.5220/0005035201600168
PB - SciTePress

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