{"title":"NETWORK PERFORMANCE ANALYSIS OF CLOUD BASED MULTIMEDIA STREAMING SERVICE","authors":"S. Kesavan, J. Jayakumar","doi":"10.17781/P0015","DOIUrl":null,"url":null,"abstract":"Multimedia streaming is the evergreen technology brings quality on-demand and live media content to the end consumer. Streaming enables the users to view real time multimedia content on-the-go at anywhere, any time. The quality of service is a major concern in the increasing network traffic and high demand in media bit rate streaming. An adaptive streaming technique provides innovation compare to the conventional streaming models by dynamically selecting the media bit rate based on the network variation and processing capability to ensure the best quality of service. However traditional environment streaming service suffers with network delay, low quality performance and high cost. With the aid of Cloud, streaming delivers the content at the edges with very minimal delays on pay-for-use model. In this paper, we focus on the comprehensive analysis of various cloud based streaming methods with underlying architecture and compare the performance of cloud based streaming with conventional streaming model. The experiment results shows that cloud based streaming delivery outperforms in terms of throughput, packet delivery and effective use of the network bandwidth under similar network conditions.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of new computer architectures and their applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17781/P0015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Multimedia streaming is the evergreen technology brings quality on-demand and live media content to the end consumer. Streaming enables the users to view real time multimedia content on-the-go at anywhere, any time. The quality of service is a major concern in the increasing network traffic and high demand in media bit rate streaming. An adaptive streaming technique provides innovation compare to the conventional streaming models by dynamically selecting the media bit rate based on the network variation and processing capability to ensure the best quality of service. However traditional environment streaming service suffers with network delay, low quality performance and high cost. With the aid of Cloud, streaming delivers the content at the edges with very minimal delays on pay-for-use model. In this paper, we focus on the comprehensive analysis of various cloud based streaming methods with underlying architecture and compare the performance of cloud based streaming with conventional streaming model. The experiment results shows that cloud based streaming delivery outperforms in terms of throughput, packet delivery and effective use of the network bandwidth under similar network conditions.