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.
The well-known Generalized Processor Sharing (GPS) scheduling principle and its variants have received tremendous research efforts due to their appealing properties of fairness, traffic isolation, and work conservation. Traffic self-similarity is highly detrimental to the performance of scheduling mechanisms and communication networks. This paper proposes a novel and heuristic flow-decomposition approach...
The multifractal-like behaviour (i.e., self-similarity) of network traffic is highly detrimental to the performance of scheduling mechanisms and user-perceived Quality-of-Service. In order to accurately evaluate and predict the effects of self-similar traffic on the performance of the Generalized Processor Sharing (GPS) principle, this paper proposes an original and cost-efficient flow-decomposition...
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.