Trend Analysis and Prediction with Historical Request Data for Multimedia-on-Demand Systems(Multimedia Systems)
スポンサーリンク
概要
- 論文の詳細を見る
Resource-demanding services such as Multimedia-on-Demand (MOD) become possible as Internet and broadband connections are getting more popular. However, as the sizes of multimedia files grow rapidly, storage of such large files becomes a problem. Since multimedia contents will generally become less popular with time, it is desirable to design a prediction algorithm so that the multimedia content can be unloaded from the server if it is no longer popular. This can relieve the storage problem in an MOD system, and hence spare more space for new multimedia files. Tn this paper, we analyse the MOD viewing trend in order to understand the viewing behaviour of users and predict the viewing trend of a particular category of multimedia based on the knowledge obtained from its trend analysis. In trend analysis, two additive regression models, exponential-exponential-sum (EES) and exponential-power-sum (EPS), are proposed to improve the fitness of the trend. The most suitable model will then be used for trend prediction based on four proposed approaches, namely Fixed Regression Selection (FRS), Continuous Regression Updating (CRU), Historical Updating (HU) and Continuous Regression with Historical Updating (CRHU). From the numerical results, it is found that CRHU, which is constructed by considering historical trend and new incoming data of viewing requests, is in general the best method in forecasting the request trend of a particular category of multimedia clips.
- 社団法人電子情報通信学会の論文
- 2003-06-01
著者
-
Wong Eric
Department Of Electronic Engineering City University Of Hong Kong
-
Ko King-tim
Department Of Electronic Engineering City University Of Hong Kong
-
Tang Kit-song
Department Of Electronic Engineering City University Of Hong Kong
-
NG Danny
Department of Electronic Engineering, City University of Hong Kong
-
Ng Danny
Department Of Electronic Engineering City University Of Hong Kong
関連論文
- Performance Evaluation of Hybrid Multimedia-on-Demand Systems with Reneging Users(Multimedia Systems)
- Hybrid Multimedia-on-Demand Systems with Incentive Charging Scheme(Multimedia Systems)
- Trend Analysis and Prediction with Historical Request Data for Multimedia-on-Demand Systems(Multimedia Systems)
- In Search of the Minimum Delay Protocol for Packet Satellite Communications (Special Issue on Satellite Communications Networking and Applications)
- Multimedia-on-Demand Systems with Broadcast, Batch and Interactive Services(Multimedia Systems for Communications)
- A New Incentive Charging Scheme for Hybrid Multimedia-on-Demand Systems(Multimedia Systems for Communications)
- Designing Proper Services for a Hybrid Multimedia-on-Demand System(Multimedia Systems for Communications)