An Efficient Improving Cloud Data Storage Security Using Failure Aware Resource Scheduling Algorithm

Abstract

Cloud computing, provides the delivery of on-demand computing resources, it is displayed as an innovative platform, provides a high-performance computing environment for  the  user.  The need for cloud computing is increasing gradually every day. Cloud computing, data storage security is a big problem since the data in the cloud must  be  sent  via  the  Internet,  data  security  is  a  big  problem.  Integrity, accountability, privacy, access  control, authentication, must be to maintain an important mechanism for data protection, such as approval. To overcome this problem, the proposed Failure Aware Resource scheduling (FARS) to reduce the failure leading and reduced system performance tasks. The proposed method is clients send data using encryption for protecting the highly confidential files because the files or data unauthorized persons cannot be stolen or view the files so the files or data protected then generate the One-Time Password (OTP) for decrypting the files. Nodes with relatively low computing power and a low failure rate can provide better performance and reduced resources. The method is based on failure aware scheduling, especially for users who want to move the collective frequently, which can reduce the discovery time of the cloud service rather than the failed resource planning methods. That the crowdsourcing model is an effective way to solve huge co- tasks.