As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
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.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.