Caching strategies based on popularity prediction in content delivery networks
@article{Hassine2016CachingSB, title={Caching strategies based on popularity prediction in content delivery networks}, author={N. Hassine and D. Marinca and P. Minet and D. Barth}, journal={2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)}, year={2016}, pages={1-8} }
In Content Delivery Networks (CDNs), knowing the popularity of video content helps the manager to take efficient decisions about which video content should be cached near the end users and also about the duplication degree of each video to satisfy the end user Quality of Experience. This paper focuses on predicting the popularity of video content, in terms of the number of requests. For that purpose, different software entities, called experts, compute the popularity value of each video content… CONTINUE READING
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References
SHOWING 1-10 OF 11 REFERENCES
Popularity prediction in content delivery networks
- Computer Science
- 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
- 2015
- 10
- PDF
Understanding user behavior in large-scale video-on-demand systems
- Computer Science
- EuroSys '06
- 2006
- 680
- PDF
Mapping the expansion of Google's serving infrastructure
- Computer Science
- Internet Measurement Conference
- 2013
- 174
- PDF
Vivisecting YouTube: An active measurement study
- Computer Science
- 2012 Proceedings IEEE INFOCOM
- 2012
- 142
- PDF
Another short proof of optimality for the MIN cache replacement algorithm
- Computer Science
- Inf. Process. Lett.
- 2008
- 8
A short proof of optimality for the MIN cache replacement algorithm
- Computer Science
- Inf. Process. Lett.
- 2007
- 30
- PDF
A Study of Replacement Algorithms for Virtual-Storage Computer
- Computer Science
- IBM Syst. J.
- 1966
- 1,637
- PDF
The persistent-access-caching algorithm, Random Structures and Algorithms
- The persistent-access-caching algorithm, Random Structures and Algorithms
- 2008