Long-Term Prefetching for Cloud Medical Imaging Repositories
نویسندگان
چکیده
Healthcare institutions have been outsourcing their IT infrastructure to the cloud. This new paradigm has financial and technological advantages. However, it has also associated some important issues. In the medical imaging field, studies typically involve high volumes of data, leading to increased communication latency in remote access environments. In this context, this paper presents a long-term prefetching solution that dynamically adapts itself to institutional workflows and services. Evaluation tests show that the proposed solution significantly reduces the data access latency.
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