We describe the design and implementation of a high performance cloud that we have used to archive, analyze and mine large distributed data sets. By a cloud, we mean an infrastructure that provides resources and/or services over the Internet. A storage cloud provides storage services, while a compute cloud provides compute services. High-performance can be reasonably intended as a intermediate step of highperformance data mining activities over large-scale amounts of data, while still keeping

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... altered the primary and self-contained focus of achieving effectiveness and efficiency in these task themselves. In this paper we propose an algorithm to mine the data from the cloud using sector/sphere framework and association rules. We also describe the programming paradigm supported by the Sphere compute cloud and Association rules. Sector and Sphere are discussed for analyzing large data sets using computer clusters connected with wide area high performance networks. Data mining is the process of analyzing data from different perspectives and summarizing it into useful information. Mining association rules is one of the most important aspects in data mining.