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English (United Kingdom)

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

Έτος: 2015
Τύπος δημοσίευσης: Συνέδριο Λέξεις-κλειδί: Cloud Computing, IaaS, Machine Learning, Resource Allocation
Volume: 1 - KDIR
Book title: In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015)
Pages: 388 - 393
Month: November
ISBN: 978-989-758-158-8
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.