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Authors: Andreas Kapsalis 1 ; Panagiotis Kasnesis 1 ; Panagiotis C. Theofanopoulos 2 ; Panagiotis K. Gkonis 2 ; Christos Lavranos 2 ; Dimitra Kaklamani 1 ; Iakovos S. Venieris 1 and George Kyriacou 2

Affiliations: 1 School of Electrical and Computer Engineering and National Technical University of Athens, Greece ; 2 Democritus University of Thrace, Greece

ISBN: 978-989-758-158-8

Keyword(s): Cloud Computing, Machine Learning, Resource Allocation, SVM, Ant Colony Optimization, Eigenanalysis, Finite Difference.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Intelligence Applications ; Clustering and Classification Methods ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Software Development ; Symbolic Systems

Abstract: Most scientific applications tend to have a very resource demanding nature and the simulation of such scientific problems often requires a prohibitive amount of time to complete. Distributed computing offers a solution by segmenting the application into smaller processes and allocating them to a cluster of workers. This model was widely followed by Grid Computing. However, Cloud Computing emerges as a strong alternative by offering reliable solutions for resource demanding applications and workflows that are of scientific nature. In this paper we propose a Cloud Platform that supports the simulation of complex electromagnetic problems and incorporates classification (SVM) and resource allocation (Ant Colony Optimization) methods for the effective management of these simulations.

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Paper citation in several formats:
Kapsalis, A.; Kasnesis, P.; Theofanopoulos, P.; Gkonis, P.; Lavranos, C.; Kaklamani, D.; Venieris, I. and Kyriacou, G. (2015). A Cloud Platform for Classification and Resource Management of Complex Electromagnetic Problems.In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015) ISBN 978-989-758-158-8, pages 388-393. DOI: 10.5220/0005615503880393

@conference{kdir15,
author={Andreas Kapsalis. and Panagiotis Kasnesis. and Panagiotis C. Theofanopoulos. and Panagiotis K. Gkonis. and Christos Lavranos. and Dimitra Kaklamani. and Iakovos S. Venieris. and George Kyriacou.},
title={A Cloud Platform for Classification and Resource Management of Complex Electromagnetic Problems},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)},
year={2015},
pages={388-393},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005615503880393},
isbn={978-989-758-158-8},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)
TI - A Cloud Platform for Classification and Resource Management of Complex Electromagnetic Problems
SN - 978-989-758-158-8
AU - Kapsalis, A.
AU - Kasnesis, P.
AU - Theofanopoulos, P.
AU - Gkonis, P.
AU - Lavranos, C.
AU - Kaklamani, D.
AU - Venieris, I.
AU - Kyriacou, G.
PY - 2015
SP - 388
EP - 393
DO - 10.5220/0005615503880393

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