H. Kimiyama, K. Shimizu, T. Kawano, T. Ogura, M. Maruyama
{"title":"Real-time processing method for an ultra high-speed streaming server running PC Linux","authors":"H. Kimiyama, K. Shimizu, T. Kawano, T. Ogura, M. Maruyama","doi":"10.1109/AINA.2004.1283840","DOIUrl":null,"url":null,"abstract":"Integration of a high-resolution video (such as HDTV) delivery system for IP networks with legacy DBMSs and WWW systems, would make it easy to achieve system for a remote video editing, remote education and digital cinema. For this reason, we have developed a streaming server for IP networks is based on the MAPOS link-layer protocol and has a 2.48-Gbps line speed. The MAPOS protocol enables IP networks over SONET/SDH. The streaming server is constructed on a typical PC with Linux. Choosing a PC and Linux provides high performance at low cost to users. Real-time processing is important if we are to send video data at a specified rate. To implement a streaming server that can deliver Gbps video streams, we developed a real-time processing method specifically for this platform. Consequently, we obtained real-time performance for a streaming server in which the method was implemented. To evaluate its performance, we measured the receiving rate and jitter on receiving terminal while the server was delivering video streams at rates from 1.5 to 2.4 Gbps. The jitter indicates the receive-buffer size that is required and the initial delay which should be inserted before playback. For video delivery at 1.5 Gbps, the maximum buffer size was shown to be 936 KBytes (5.1 msec) and initial delay was 3.0 msec. These results show the practicability of constructing a system for ultra high-speed video (including 1.5-Gbps uncompressed HDTV) delivery with a very short response time within one video frame.","PeriodicalId":186142,"journal":{"name":"18th International Conference on Advanced Information Networking and Applications, 2004. AINA 2004.","volume":"195 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th International Conference on Advanced Information Networking and Applications, 2004. AINA 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AINA.2004.1283840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Integration of a high-resolution video (such as HDTV) delivery system for IP networks with legacy DBMSs and WWW systems, would make it easy to achieve system for a remote video editing, remote education and digital cinema. For this reason, we have developed a streaming server for IP networks is based on the MAPOS link-layer protocol and has a 2.48-Gbps line speed. The MAPOS protocol enables IP networks over SONET/SDH. The streaming server is constructed on a typical PC with Linux. Choosing a PC and Linux provides high performance at low cost to users. Real-time processing is important if we are to send video data at a specified rate. To implement a streaming server that can deliver Gbps video streams, we developed a real-time processing method specifically for this platform. Consequently, we obtained real-time performance for a streaming server in which the method was implemented. To evaluate its performance, we measured the receiving rate and jitter on receiving terminal while the server was delivering video streams at rates from 1.5 to 2.4 Gbps. The jitter indicates the receive-buffer size that is required and the initial delay which should be inserted before playback. For video delivery at 1.5 Gbps, the maximum buffer size was shown to be 936 KBytes (5.1 msec) and initial delay was 3.0 msec. These results show the practicability of constructing a system for ultra high-speed video (including 1.5-Gbps uncompressed HDTV) delivery with a very short response time within one video frame.