Title :
Optimizing CDN Infrastructure for Live Streaming with Constrained Server Chaining
Author :
Zhuang, Zhenyun ; Guo, Chun
Author_Institution :
Georgia Inst. of Technol., Coll. of Comput., Atlanta, GA, USA
Abstract :
Content Delivery Networks (CDNs) are increasingly being used to deliver live streaming on today´s Internet. The new application type of live streaming exposes unique characteristics and challenges that require more advanced design of CDN infrastructure. Unlike traditional web-object delivering, which allows CDN content servers to cache contents and thus typically only involves certain CDN servers (e.g. edge content servers) for delivering contents, live streaming requires a real-time full CDN streaming path that spans across the streaming source, the CDN ingest server, the CDN content server, and end-viewers. Though the ingest server is typically fixed for a particular live stream, appropriate content servers need to be selected for delivering the stream to end viewers. Though today´s CDNs typically employ layered infrastructure for delivering live streaming, in this work, we propose a flat-layered design which is referred to as Constrained Server Chaining (CSC) for selecting optimal content servers to deliver live streams. Rather than employing a strictly layered infrastructure, CSC allows CDN streaming servers to dynamically choose upstream servers, thus saves transit cost for CDN providers.
Keywords :
Internet; content management; media streaming; CDN infrastructure; Internet; cache contents; constrained server chaining; content delivery networks; live streaming; Engines; Measurement; Media; Monitoring; Prototypes; Servers; CDN; live streaming; transit cost;
Conference_Titel :
Parallel and Distributed Processing with Applications (ISPA), 2011 IEEE 9th International Symposium on
Conference_Location :
Busan
Print_ISBN :
978-1-4577-0391-1
Electronic_ISBN :
978-0-7695-4428-1
DOI :
10.1109/ISPA.2011.44