DocumentCode
590842
Title
Streaming of scalable multimedia over Content Delivery Cloud
Author
Xiaoming Bao ; Rongshan Yu
Author_Institution
Inst. for Infocomm Res., A*STAR, Singapore, Singapore
fYear
2012
fDate
3-6 Dec. 2012
Firstpage
1
Lastpage
5
Abstract
Content Delivery Cloud (CDC) extends Content Delivery Network (CDN) to provide elastic, scalable and low cost services to the customers. For multimedia streaming over CDC, caching the media content onto the edge server from storage cloud is commonly used to minimize the latency of content delivery. It is very important for CDN to balance between the resources being used (storage space, bandwidth, etc) and the performance achieved. Commercial CDNs (such as Akamai, Limelight, Amazon CloudFront) have their proprietary caching algorithms to deal with this issue. In this paper, we propose a method to further improve the efficiency of the caching system for scalable multimedia contents. Specifically, we notice that a scalable multimedia content can be flexibly truncated to lower bit rates on-the-fly based on the available network bandwidth between the edge server to the end users. Therefore, it may not be necessary to cache such a content at its highest quality/rate. Based on this observation, we show that edge server can decide an optimized truncation ratio for the cached scalable multimedia contents to balance between the quality of the media and the resource usage. The proposed optimized truncation algorithm is analyzed and its efficacy in improving the efficiency of the caching system is justified with simulation result.
Keywords
cache storage; cloud computing; media streaming; caching algorithms; content delivery cloud; content delivery network; edge server; scalable multimedia streaming; Bandwidth; Games; Media; Multimedia communication; Resource management; Servers; Standards; Content delivery network; caching algorithm; cloud storage; multi-media streaming;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific
Conference_Location
Hollywood, CA
Print_ISBN
978-1-4673-4863-8
Type
conf
Filename
6411989
Link To Document