FOGDRIVE DISASTER BACKUP AS A SERVICE FOR CLOUD SERVER USING FOG COMPUTING
Ms. J. Maheswari Assistant Professor & Dhirajlal Gandhi College of Technology
| Mr.S.Anantharaj Computer Science and Engineering & Dhirajlal Gandhi College of Technology
Mr.S.Chandru Computer Science and Engineering & Dhirajlal Gandhi College of Technology
Mr.K P.Hari Prasath Computer Science and Engineering & Dhirajlal Gandhi College of Technology |
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Abstract - Data storage and repair delivery are mainly realized by cloud data centres deployed round the world. However, data centres face failure threats caused by disasters like disk failure, threat. Fault tolerance could be a major concern in clouds so as to ensure the reliability and also the availability, also the information backup and recovery is one in every of the foremost important issues in cloud computing environments, and also the need of efficient techniques for the info recovery are increasing by the times. Cloud backup is becoming the well-liked way for users to support disaster recovery. Thus disaster-resilient cloud data centres are expected. An emergency protection scheme integrating data backup and repair migration is proposed by utilizing early warning time. This project proposes a primary and backup resource allocation model called FogDrive that gives a probabilistic protection guarantee for virtual machines against multiple failures of physical machines in a very cloud provider to reduce the desired total capacity. When the server can't provide the information for the users or the information has been lost due to one among the various styles of failures the information recovery techniques wont to retrieve the information from the FogDrive. This project founded a versatile data backup operation, using Disaster Backup Data as a Service (BDaaS) solutions, mixing them up with FogDrive local memory device. The results show that an optimal recovery time objective may be achieved by allowing users to retrieve backups from any platform or device with web-browsing capabilities. Also, a high level of integrity on each client will be reached, which lowers the possibilities of losing data or exposing financial records to an attacker.
Key Words: Fog, Disaster, Allocation, Machines, Resource, Client
