IGI Global Microsoft Word 2007 Template Reference templateInstructions.pdf for detailed instructions on using this document. Cost Models for Selecting Materialized Views in Public Clouds Romain Perriot Clermont Université, CNRS, Université Blaise Pascal, LIMOS UMR 6158
[email protected] Jérémy Pfeifer Clermont Université, CNRS, Université Blaise Pascal, LIMOS UMR 6158
[email protected] Laurent d’Orazio Clermont Université, CNRS, Université Blaise Pascal, LIMOS UMR 6158
[email protected] Bruno Bachelet Clermont Université, CNRS, Université Blaise Pascal, LIMOS UMR 6158
[email protected] Sandro Bimonte IRSTEA, UR TSCF, Clermont-Ferrand
[email protected] Jérôme Darmont Université de Lyon (Laboratoire ERIC)
[email protected] Abstract Data warehouse performance is usually achieved through physical data structures such as indexes or materialized views. In this context, cost models can help select a relevant set ofsuch performance optimization structures. Nevertheless, selection becomes more complex in the cloud. The criterion to optimize is indeed at least two-dimensional, with monetary cost balancing overall query response time. This paper introduces new cost models that fit into the pay-as-you-go paradigm of cloud computing. Based on these cost models, an optimization problem is defined to discover, among candidate views, those to be materialized to minimize both the overall cost of using and maintaining the database in a public cloud and the total response time ofa given query workload. We experimentally show that maintaining materialized views is always advantageous, both in terms of performance and cost. 1. Introduction Recently, cloud computing, led by companies such as Google, Microsoft and Amazon, attracted special attention.