A Cloud Platform for Classification and Resource Management of Complex Electromagnetic Problems

Andreas Kapsalis, Panagiotis Kasnesis, Panagiotis C. Theofanopoulos, Panagiotis K. Gkonis, Christos Lavranos, Dimitra Kaklamani, Iakovos S. Venieris, George Kyriacou

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 Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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