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Transactional Data Stores in the Cloud

Cloud computing has emerged as a powerful paradigm for hosting Internet scale applications in large computing infrastructures.

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GStore: On Demand Atomicity in Key-Value Stores

Key-Value data stores have been extremely successful in supporting large applications with huge amount of data and large number of concurrent requests. But Key-Value stores provide transactional guarantees only at the granularity of single rows which is restrictive for some applications. This project aims to build on the Key-Value data stores to provide transactional guarantees over dynamic groups of keys specified by the applications on demand.

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ElasTraS: Elastic Transaction Management in the Cloud

ElasTraS targets the design space of scalable, elastic, fault-tolerant, self-managing, transactional relational database for the cloud. ElasTraS is designed to scale out using a cluster of commodity machines while being fault-tolerant and self-managing. ElasTraS is designed to support both classes of database needs for the cloud: (i) large databases partitioned across a set of nodes, and (ii) a large number of small and independent databases common in multi-tenant databases. ElasTraS borrows from the design philosophy of scalable Key-Value stores to minimize distributed synchronization and remove scalability bottlenecks, while leveraging decades of research on transaction processing, concurrency control, and recovery to support rich functionality and transactional guarantees.

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