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.
A Dominant Resource Fairness (DRF) based scheme for job scheduling in distributed cloud computing systems which was modeled as multi-job scheduling and multi-resource allocation coupling problem is proposed, where the resource pool is constructed from a large number of distributed heterogeneous servers, representing different points in the configuration space of resources such as processing, memory,...
Parallel job scheduling in multiple cluster system is a critical aspect to facilitate the processor cooperation. However, co-allocation, heterogeneity and time-varying emerge as tough challenges for the design of multiple cluster job scheduling models and algorithms. This paper presents a new multiple cluster job scheduling scheme based on the time-varying job performance model for a dynamic, heterogeneous...
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.