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Cloud Capacity Reservation for Optimal Service Deployment

Authors:
Iñigo San Aniceto Orbegozo
Rafael Moreno-Vozmediano
Ruben S. Montero
Ignacio M. Llorente

Keywords: Cloud computing; capacity reservation; resource provisioning; service deployment; cost optimization

Abstract:
Cloud computing is a profound revolution in the way it offers the computation capability. The Information Tech- nology organizations do not need to oversize their infrastructure anymore, potentially reducing the cost of deploying their services. The main objective now is to reduce the cost of deploying a service in the cloud. Some research attempts have focus on deploying one service in multiple clouds, to benefit from different billing models. In this work, we propose a way to minimize that cost by using a single cloud provider with an optimal mixture of reserved and on-demand instances to take advantage of different billing models within the same provider. We tested this optimal combination of reserved and on-demand instances with real world workload traces. The results show a 32% deployment cost reduction compared to on-demand deployment.

Pages: 52 to 59

Copyright: Copyright (c) IARIA, 2011

Publication date: September 25, 2011

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-61208-153-3

Location: Rome, Italy

Dates: from September 25, 2011 to September 30, 2011