Probabilistic Optimization of Resource Distribution and Encryption for Data Storage in the Cloud - 2018


During this Project, we tend to develop a decentralized probabilistic technique for performance optimization of cloud services. We specialise in Infrastructure-as-a-Service where the user is provided with the ability of configuring virtual resources on demand so as to satisfy specific computational necessities. This novel approach is strongly supported by a theoretical framework primarily based on tail probabilities and sample complexity analysis. It permits not solely the inclusion of performance metrics for the cloud however the incorporation of security metrics based mostly on cryptographic algorithms for knowledge storage. To the best of the authors' information this is the first unified approach to provision performance and security on demand subject to the Service Level Agreement between the shopper and therefore the cloud service supplier. The quality of the service is guaranteed given bound values of accuracy and confidence. We have a tendency to present some experimental results using the Amazon Web Services, Amazon Elastic Compute Cloud service to validate our probabilistic optimization methodology.

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