Cloud Computing is an alluring technology which provides elasticity, scalability and cost-efficiency over a network. In recent years, database obtrusion has become a crucial feature in cloud computing. Rapid data growth and need to keep it safer require organizations to integrate how they manage and use their data. To meet these necessities, No-SQL has proven to be better over RDBMS because of its high scalability. To provide better availability, No-SQL databases has a huge among of Redundant data. In order to address this neophyte challenges and further achieve a dependable and secure cloud storage service, different storage efficiency approaches are used these days. This paper proposed a novel design of efficient storage framework for cloud computing for No-SQL databases. The framework tackles the challenge of managing the huge amount of the data at the back end of the cloud service provider. The Framework uses Map-Reduce paradigm of Hadoop with the schema-less document-oriented MongoDB. The outcomes are improved storage efficiency by saving subsequent storage space and network bandwidth during data transfer among multiple nodes.

Cloud Computing, Compression, De-duplication, Map- Reduce, No-SQL, Storage Efficiency Technology
dx.doi.org/10.1109/NGCT.2015.7375082
1st International Conference on Next Generation Computing Technologies, NGCT 2015
Department of Political Science

Jangra, A. (Ajay), Bhatia, V, Lakhinaza, U. (Upasana), & Singh, N. (Niharika). (2016). An efficient storage framework design for cloud computing: Deploying compression on de-duplicated No-SQL DB using HDFS. In Proceedings on 2015 1st International Conference on Next Generation Computing Technologies, NGCT 2015 (pp. 55–60). doi:10.1109/NGCT.2015.7375082