{"title":"多媒体应用程序的快速排队策略","authors":"D. Nguyen-Huu, T. Duong, Thinh P. Q. Nguyen","doi":"10.1109/ICCCN.2013.6614139","DOIUrl":null,"url":null,"abstract":"We present an analytical framework for providing Quality of Service (QoS) using queuing policies that achieves a given target distribution of packets in a network queue. To a large extent, the stationary distribution of packets in the queue resulted from employing a certain queuing policy directly controls the typical QoS metrics for multimedia applications. Therefore, using the packet distribution in the queue as the metric, the proposed framework allows for a more general and precise control of QoS beyond the standard metrics such as bandwidth, jitter, loss, and delay. Moreover, the proposed framework aims to find a fast queuing policy that achieves a given target stationary distribution. This fast adaptation is especially useful for multimedia applications in fast-changing network conditions. As an example, we present a general procedure for obtaining a queuing policy that optimizes for a given arbitrary objective along with the standard QoS requirements. Both theory and simulation results are presented to verify our framework.","PeriodicalId":207337,"journal":{"name":"2013 22nd International Conference on Computer Communication and Networks (ICCCN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fast Queuing Policies for Multimedia Applications\",\"authors\":\"D. Nguyen-Huu, T. Duong, Thinh P. Q. Nguyen\",\"doi\":\"10.1109/ICCCN.2013.6614139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an analytical framework for providing Quality of Service (QoS) using queuing policies that achieves a given target distribution of packets in a network queue. To a large extent, the stationary distribution of packets in the queue resulted from employing a certain queuing policy directly controls the typical QoS metrics for multimedia applications. Therefore, using the packet distribution in the queue as the metric, the proposed framework allows for a more general and precise control of QoS beyond the standard metrics such as bandwidth, jitter, loss, and delay. Moreover, the proposed framework aims to find a fast queuing policy that achieves a given target stationary distribution. This fast adaptation is especially useful for multimedia applications in fast-changing network conditions. As an example, we present a general procedure for obtaining a queuing policy that optimizes for a given arbitrary objective along with the standard QoS requirements. Both theory and simulation results are presented to verify our framework.\",\"PeriodicalId\":207337,\"journal\":{\"name\":\"2013 22nd International Conference on Computer Communication and Networks (ICCCN)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 22nd International Conference on Computer Communication and Networks (ICCCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCN.2013.6614139\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 22nd International Conference on Computer Communication and Networks (ICCCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCN.2013.6614139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present an analytical framework for providing Quality of Service (QoS) using queuing policies that achieves a given target distribution of packets in a network queue. To a large extent, the stationary distribution of packets in the queue resulted from employing a certain queuing policy directly controls the typical QoS metrics for multimedia applications. Therefore, using the packet distribution in the queue as the metric, the proposed framework allows for a more general and precise control of QoS beyond the standard metrics such as bandwidth, jitter, loss, and delay. Moreover, the proposed framework aims to find a fast queuing policy that achieves a given target stationary distribution. This fast adaptation is especially useful for multimedia applications in fast-changing network conditions. As an example, we present a general procedure for obtaining a queuing policy that optimizes for a given arbitrary objective along with the standard QoS requirements. Both theory and simulation results are presented to verify our framework.