The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Heterogeneous systems become popular in both client and cloud. A parallel program can incur operations on multiple processing resources such as CPU, GPU, and vector processor units. This paper investigates scheduling problems on functionally heterogeneous systems with the objective of minimizing the completion time of parallel jobs. We first present performance bounds of online scheduling and show...
In this paper, it presents an effective caching algorithm based on random access with the finite storage size in distributed server architecture for networked video services. Under the general video traffic condition, it is observed that the storage size and total popular contents of edge video server affect the performance of the total video sever system, and channel bandwidth between edge video...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.