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 present storage structures, PK-map and Tuple-index-map, to improve the performance of query execution and inter-node communication in Cloud Data Warehouses. Cloud Data Warehouses require Read-Optimized databases because large amount of historical data are integrated on a regular basis to facilitate analytical applications for report(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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