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.
Accurate traffic classification is critical for efficient network management and resources utilization. Different video traffics have different QoS (Quality of Service) requirements. To provide Internet video services with better QoS support, a fine grained classification scheme for network video traffic is proposed in this paper. Through extensive statistical analysis of typical video traffic flows...
For the purposes of efficient network resource management and QoS (Quality of Service) support of different multimedia services, this paper proposes a fine grained classification scheme for Internet multimedia traffics using a novel low-complexity feature selection method based on coefficient of variation. We focus on web-browsing and network video services in this work. A number of QoS and network...
This paper addresses the issue of effective classification of video traffic with the view of QoS guarantee, and presents a modified K-Singular Value Decomposition (K-SVD) classification framework based on the concept of QFAg (QoS based Flow Aggregation). By statistical analysis of video flows on large-scale real networks, we define 5 Quality of Service (QoS) categories with the features of downstream/upstream...
For the purposes of efficient network resource management and QoS (Quality of Service) support of different video services, this paper proposes a fine grained classification scheme for Internet video traffics based on hierarchical clustering. We study a number of QoS and network resource requirements related statistical features of some typical video applications and validate their effectiveness in...
According to the heterogeneous characteristics of wireless mesh networks and the QoS requirements of multimedia applications, we design a novel QoS adaptive architecture for WMNs that is cross-domain, cross-layer and cross-node. Furthermore, this architecture is mathematically described by using a bi-level programming model. This model uses the optimization results of subnets as the optimization parameters...
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.