Scalable transaction management with snapshot isolation for no sql data storage systems
- 1. Scalable Transaction Management with SnapshotIsolation for NoSQL Data Storage Systems Abstract: We address the problem of building scalable transaction management mechanisms for multi-row transactions on key value storage systems, which are commonly termed as NoSQL systems. We develop scalable techniques for transaction management utilizing the snapshot isolation (SI) model. Because the SI model can lead to non-serializable transaction executions, we investigate two conflict detection techniques for ensuring serializability. To support scalability, we investigate system architectures and mechanisms in which the transaction management functions are decoupled from the storage system and integrated with the application- level processes. We present two system architectures and demonstrate their scalability under the scale-out model of cloud computing platforms. In the first system architecture all transaction management functions are executed in a fully decentralized manner by the application processes. The second architecture is based on a hybrid approach in which the conflict detection functions are performed by a dedicated service. We perform a comparative evaluation of these architectures using the TPC-C benchmark and demonstrate their scalability.
- 2. Existing System: We present here scalable architecture models for supporting multi-row serializable transactions for key-value based NoSQL data storage systems. Our approach is based on decentralized and decoupled transaction management where transaction management functions are decoupled from the storage system and performed by the application-level processes themselves, in decentralized manner. Proposed System: We present and evaluate two system architectures for providing multi-row transactions using snapshot isolation (SI) on NoSQL databases. Furthermore, we extend the SI based transaction model to support serializable transactions. We demonstrate the scalability of our approach using the TPC-C benchmark. Our work demonstrates that transaction serializability guarantees can be supported in a scalable manner on key- value based storage systems. Using the transaction management techniques presented here, the utility of key-value based cloud data management systems can be extended to applications requiring strong transactional consistency. Hardware Requirements:
- 3. • System : Pentium IV 2.4 GHz. • Hard Disk : 40 GB. • Floppy Drive : 1.44 Mb. • Monitor : 15 VGA Colour. • Mouse : Logitech. • RAM : 256 Mb. Software Requirements: • Operating system : - Windows XP. • Front End : - JSP • Back End : - SQL Server Software Requirements: • Operating system : - Windows XP. • Front End : - .Net • Back End : - SQL Server