| [1] |
NIU D , LI B C , ZHAO S Q . Understanding demand volatility in large vod systems[A]. Proceedings of the 21st International Workshop on Network and Operating Systems Support for Digital Audio and Video[C]. 2011. 39-44.
|
| [2] |
Youtube homepage[EB/OL]. , 2012.
|
| [3] |
YING Q , GUO Y , CHEN Y , et al. nderstanding users' access failure and patience in large-scale P2P VoD systems[A]. Wireless Mobile ＆Multimedia Networks (ICWMMN 2011) 4th IET[C]. 2011. 283-287.
|
| [4] |
YouKu[EB/OL]. , 2012.
|
| [5] |
APPLEGATE D , ARCHER A , GOPALAKRISHNAN V , et al. Optimal content placement for a large-scale VoD system[A]. ACM CoN-EXT[C]. 2010. 1-12.
|
| [6] |
KOREN Y . Factorization meets the neighborhood: a multifaceted collaborative filtering model[A]. Proc of the 14th ACM SIG-KDD Conference[C]. 2008. 426-434.
|
| [7] |
NIU D , LI B C , ZHAO S Q . Demand forecast and performance pre-diction in peer-assisted on-demand streaming systems[A]. IEEE Info-com Mini-Conference[C]. 2011. 421-425.
|
| [8] |
NIU D , CHEN F , LI B C . A theory of cloud bandwidth pricing for video-on-demand providers[A]. IEEE Infocom[C]. 2012. 711-719.
|
| [9] |
Amazon Web services[EB/OL]. .
|
| [10] |
BOX G E P , JENKINS G M , REINSEL G C . Time Series Analysis:Forecasting and Control[M]. Wiley, 2008.
|
| [11] |
CHAN K S , CRYER J D . Time Series Analysis with Applications in R[M]. Springer, 2008.
|
| [12] |
HE H , SIU W C . Single image super-resolution using gaussian process regression[A]. IEEE Computer Vision and Pattern Recognition Con-ference[C]. 2011. 449-456.
|
| [13] |
GURSUN G , CROVELLA M , MATTA I . Describing and forecasting video access patterns[A]. INFOCOM Proceedings IEEE 2011[C]. 2011. 16-20.
|
| [14] |
LI H , ZHONG L , LIU J , et al. Cost-effective partial migration of VoD services to content clouds[A]. Cloud Computing (CLOUD) 2011 IEEE International Conference on[C]. 2011. 203-210.
|
| [15] |
Amazon S3 Pricing[EB/OL]. , 2012.
|
