Abstract
Remote Cloud services are very efficient to overcome the deficiency of native resources. This kind of facility and assets availability which depends on the quality of link to the remote server, and this arrangement may fail due to poor connectivity scenarios. For requests demanding large data trans- fers to the remote host, performing the computation on the device can have well performance than relying on processing by the remote host when the device’s Internet connection is extremely poor. Attaining good performance is conditional and depends on an optimal dividing of the application mechanism among the device and cloud platforms depends on runtime conditions. A cloud structure with dynamic checking on bunch of cloud facility sources for optimum distributing of the submission built on runtime situations is implemented. The framework consists of hybrid encryption (DES and Blowfish) before uploading the customer records to cloud loading in vision to safely distribute data between several clouds.
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More From: Journal of Computational and Theoretical Nanoscience
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