Efficient Data Distribution in CDBMS based on Location and User Information for Real Time Applications

In today's world users need to store data in every application and applications has a lot number of users data stored at databases. The retrieval time of data depends on how many records a database contains and not the configuration of the server. The less the number of records the less the retrieval time. Many methods are available when it comes to data partitioning, each with its own functionality for a specific application and requirement. This paper focus on the methods of data partitioning and the effective algorithm to partition the data equally between N numbers of nodes running on the cloud having database with same entities which contain the distributed data of user used in real time user application. Proposed method concentrate on data distribution in real time "user" application where user activities are primary requirement.