A comparison study of big data management on multi-site cloud data centres

The main objective of this study is to manage big data by maintaining the cloud infrastructure. The distribution of cloud data centers works on large scale scientific work flow running across geometric distribution sites. Such applications are used to enhance the pursuance and transfer quick acknowledgment. The computation of these cloud data centres is doubled due to day by day increase of the data. This in turn brings problem while efficient data partition is done across sites. Previous studies are confined with cloud provider thus it renders low throughput based on rigorous cost tactics. It increases the maintenance overhead reduces reliability and reusability. This problem is overcome by advanced technology called “Overflow”, a compatible data administration which is introduced in this paper. This technology helps to monitor and model the worldwide cloud framework, offers enormous data handling performance and gives predictive data management for maintaining cost and time. The experiment was assisted on hundred of growth using real-time earth quake readings and artificial measures using map reduce methodology. © 2017, Institute of Advanced Scientific Research, Inc. All rights reserved.