A study of hybrid cloud in big data using fog computing

Abstract

The hybrid cloud getting emerged in recent times because of efficiency and cost-effective measures. Private and Public clouds are connected with good resilience architecture to increase productivity and secondary sales in the according to the market demands. API’s place an inevitable role, and it makes the hybrid clouds without any fragile in the connections. Nowadays the Hybrid clouds have some technologies are, Fog computing, Mist computing and Edge computing sitting in the client region and to make the aggregation towards the receiving data from the client and the same is sent back to the cloud to have high performance with a great result without any starvation. The objective of the work is to analyze the performance and cost-effective features of the hybrid. The methodologies applied here are Datafication and Data Philanthropy. The result of the work brings the pierce of work going for performance and cost factors are calculated through techniques, models, architectures, and over a period of years. Safety and security measures are needed all the way to ensures stronghold between the clouds of hybrid. The big data can be safeguarded through the private cloud and the operations are easy via the public cloud is the total study throughout the analyses of the work.