Swathi Kurunji

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Read-Optimized databases are well suited for read intensive Data Warehouse applications. In addition, data in these applications grow rapidly and hence need a dynamically scalable environment like Cloud. Cloud provides a flexible environment where user can load data, execute queries and scale resources on demand. However, cloud has its own challenges. To(More)
In this paper, we study and optimize the aggregate query processing in a highly distributed Cloud Data Warehouse, where each database stores a subset of relational data in a star-schema. Existing aggregate query processing algorithms focus on optimizing various query operations but give less importance to communication cost overhead (Two-phase algorithm).(More)
Read-Optimized databases are well suited for read intensive Data Warehouse applications. In addition, data in these applications grow rapidly and hence need a dynamically scalable environment like Cloud. Cloud provides a flexible environment where user can load data, execute queries and scale resources on demand. As the resources are scaled up, the number(More)
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