DocumentCode
590271
Title
An adaptive hybrid CDN/P2P solution for Content Delivery Networks
Author
Bronzino, Francesco ; Gaeta, Rossano ; Grangetto, Marco ; Pau, Giovanni
Author_Institution
Dipt. di Inf., Univ. di Torino, Turin, Italy
fYear
2012
fDate
27-30 Nov. 2012
Firstpage
1
Lastpage
6
Abstract
Streaming services have grown rapidly in the last few years and providers of video on-demand, such as Netflix or YouTube, are increasing the number of users even more quickly. The majority of these companies implement their services using huge Content Delivery Networks that are as much powerful as expensive, e.g. Amazon and Akamai. In this paper we propose a hybrid CDN/P2P solution that aims at reducing the infrastructural costs exploiting local caching and P2P while guaranteeing an optimal quality of service. The proposed architecture uses a classic CDN complemented by a geographically distributed layer where P2P can be activated exploiting network, content awareness and locality. The performance of the proposed solution is evaluated by means of a prototype implementation that has been deployed using the PlanetLab network and the Amazon AWS cloud services. Our findings show that the proposed approach provides adaptive, flexible, scalable and content centric service to the end users while significantly reducing the infrastructural costs.
Keywords
cloud computing; content-based retrieval; multimedia computing; peer-to-peer computing; social networking (online); video on demand; Akamai; Amazon AWS cloud services; Netflix; PlanetLab network; YouTube; adaptive hybrid CDN/P2P solution; content awareness; content delivery networks; geographically distributed layer; optimal quality of service; streaming services; video on demand; Content distribution networks; Delay; Peer to peer computing; Quality of service; Reliability; Servers; Streaming media; Content delivery networks; Peer-to-peer; Video delivery;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Communications and Image Processing (VCIP), 2012 IEEE
Conference_Location
San Diego, CA
Print_ISBN
978-1-4673-4405-0
Electronic_ISBN
978-1-4673-4406-7
Type
conf
DOI
10.1109/VCIP.2012.6410737
Filename
6410737
Link To Document