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ThinkMind // CLOUD COMPUTING 2011, The Second International Conference on Cloud Computing, GRIDs, and Virtualization // View article cloud_computing_2011_3_10_20148
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
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