Nansook Heo, Dongsun Lim, Dongmahn Seo, Inbum Jung, Yoon Kim
{"title":"分布式转码服务器中流媒体QoS的负载分配方法与准入控制","authors":"Nansook Heo, Dongsun Lim, Dongmahn Seo, Inbum Jung, Yoon Kim","doi":"10.1109/ICCSA.2007.21","DOIUrl":null,"url":null,"abstract":"The recent advance in wireless network technologies has enabled the streaming media service on the mobile devices such as PDAs and cellular phones. Since the wireless network has low bandwidth channels and mobile devices are actually composed of limited hardware specifications, the transcoding technology is needed to adapt streaming media to the given mobile devices. When large scale mobile clients demand the streaming service, load distribution Methods among transcoding servers highly impact on the total number of QoS streams. In this paper, the resource weighted load distribution Method is proposed for the fair load distribution and the more scalable performance in distributed transcoding servers. Our proposed Method is based on the weight of resources consumed for transcoding to classified client grades and the maximum number of QoS streams actually measured in transcoding servers. The proposed policy is implemented on distributed transcoding system. In experiments, we evaluate its fair load distribution and scalable performance according to the increase of transcoding servers.","PeriodicalId":386960,"journal":{"name":"2007 International Conference on Computational Science and its Applications (ICCSA 2007)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Load Distribution Method and Admission control for Streaming Media QoS in Distributed Transcoding Servers\",\"authors\":\"Nansook Heo, Dongsun Lim, Dongmahn Seo, Inbum Jung, Yoon Kim\",\"doi\":\"10.1109/ICCSA.2007.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The recent advance in wireless network technologies has enabled the streaming media service on the mobile devices such as PDAs and cellular phones. Since the wireless network has low bandwidth channels and mobile devices are actually composed of limited hardware specifications, the transcoding technology is needed to adapt streaming media to the given mobile devices. When large scale mobile clients demand the streaming service, load distribution Methods among transcoding servers highly impact on the total number of QoS streams. In this paper, the resource weighted load distribution Method is proposed for the fair load distribution and the more scalable performance in distributed transcoding servers. Our proposed Method is based on the weight of resources consumed for transcoding to classified client grades and the maximum number of QoS streams actually measured in transcoding servers. The proposed policy is implemented on distributed transcoding system. In experiments, we evaluate its fair load distribution and scalable performance according to the increase of transcoding servers.\",\"PeriodicalId\":386960,\"journal\":{\"name\":\"2007 International Conference on Computational Science and its Applications (ICCSA 2007)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Computational Science and its Applications (ICCSA 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSA.2007.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Computational Science and its Applications (ICCSA 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSA.2007.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Load Distribution Method and Admission control for Streaming Media QoS in Distributed Transcoding Servers
The recent advance in wireless network technologies has enabled the streaming media service on the mobile devices such as PDAs and cellular phones. Since the wireless network has low bandwidth channels and mobile devices are actually composed of limited hardware specifications, the transcoding technology is needed to adapt streaming media to the given mobile devices. When large scale mobile clients demand the streaming service, load distribution Methods among transcoding servers highly impact on the total number of QoS streams. In this paper, the resource weighted load distribution Method is proposed for the fair load distribution and the more scalable performance in distributed transcoding servers. Our proposed Method is based on the weight of resources consumed for transcoding to classified client grades and the maximum number of QoS streams actually measured in transcoding servers. The proposed policy is implemented on distributed transcoding system. In experiments, we evaluate its fair load distribution and scalable performance according to the increase of transcoding servers.