Abstract
Sharing the Secured Cloud Storage with Elliptic Curve Algorithm
Highlights
These data meet the demands of the enterprise itself, and provide services to other businesses if the data are stored on a big data platform
We presented a computation model for big data analytics in the cloud and surveyed several cryptographic techniques that can be used to secure these analytics in a variety of settings
While these techniques give a good starting point for secure cloud computing, further research is needed to turn them into practical solutions that can achieve secure cloud computing in the real world
Summary
These data meet the demands of the enterprise itself, and provide services to other businesses if the data are stored on a big data platform. Accelerating data-intensive science with Gordon and dash: There is a new trend emerging across university campuses to deploy Science DMZs (demilitarized zones) to support Science drivers that involve for e.g., data-intensive applications needing access to remote instrumentation or public cloud resources. Using advanced technologies such as “multidomain” software-defined networking, zero-copy RDMA data transfers, active measurements and federated identity/access - accelerated flows are starting to be setup from Science DMZs over wide-area overlay networks, by-passing traditional campus firewalls. Experimental result shows its practical efficiency even with a large dataset
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