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However, the evaluation used multi-core CPUs in a single machine and the transfer to cloud-environments is mentioned only as an additional conceptual possibility.
Perhaps the real important debate is whether liability will transfer to a cloud provider that encourages its customers to store and make available for search all of their communications and knowledge.
If you've got a lot of data to transfer to the cloud — or maybe collect a lot of offline data — then FedEx will happily pick this one up and Microsoft will upload the data to Azure and charge you for your storage allotment.
In addition, the participant perceives that the cloud service provider would make it difficult for the customer to migrate their data from the cloud and transfer to a competing cloud provider (PAR 7).
A central issue with regard to processing sensitive data in the Cloud is trust with respect to the Cloud provider: The data and the software owned by the customer must be transferred to a Cloud resource in a Cloud environment, which is completely under the control of the Cloud provider and its administrators, as described in Wan et al. [44].
The cloned version of the application can connect to storage in the original data center or live off of data transferred to the cloud.
Fog computing reduces the amount of data that is transferred to the cloud for processing and analysis, while also improving security, a major concern in the IoT industry.
The signature would be unique, and tied specifically to the user's own digital copy of that content, complete with authentication certificates that are transferred to the cloud so the user has access on whichever device they move that content to.
In this paper, we provide a streaming-based scheme to overcome this problem, where the NGS data is processed while being transferred to the cloud.
The paper by S. A. Issa et al. entitled " Streaming support for data intensive cloud based sequence analysis" provides a streaming-based scheme to overcome this problem, where the NGS data is processed while being transferred to the cloud.
Monolithic data centers are one way to address this, but also cloud computing such as Amazon's EC2/S3 can be used as a viable and scalable alternative for large-scale metagenome data analysis [ 140], provided that the data can be transferred to the cloud, and appropriate data security is guaranteed.
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