A Secure and Distributed Cloud Data Store Structures for Partitioned Databases Lakshmi J.V.N.1,1, Associate Professor, Bhagat Vandana V.2,2, Assistant Professor, Pallavi M.O.3,3, Assistant Professor 1School of CS and IT, Department of MCA, JAIN (Deemed to be University), Bangalore, India 2Department of Data Science, CHRIST (Deemed to be University), Pune, India 3Department of Data Science, CHRIST (Deemed to be University), Pune, India 1(*Corresponding author) e-mail: jlakshmi.research@gmail.com
2e-mail: vb.vandana@gmail.com
3e-mail: pallavimurthy88@gmail.com
Abstract Exponential growth of data has a greater impact on IT-Architectures throughout various countries and divisions. Invent of GPUs, Cloud Computing and Virtual Storage spaces provide massive storage infrastructure and rapid processing on dynamic streaming data. Unstructured streaming data from social media sites are stored and processed using No SQL architectures. As the data are massive, the association with a cloud provider is essential for managing the data. Thus, security, anonymisation, privacy and compliance become challenging issues while sharing the data. To address some of the challenges, this article presents a secured distributed cloud approach on social media data. The data are distributed across several cloud providers where each provider receives a small block of data that is dependent on another block of data, which resides on another cloud service provider. Top Keywords: Big data, Cloud computing privacy, Databases, No SQL, Partitioning, Security. Top |