CCAM: A comprehensive cost analysis model for video-on-demand system


Downloads per month over past year

Sujatha, D.N. and Girish, K. and Sunil Kumar, N. and Venugopal, K.R. and Patnaik, L.M. (2010) CCAM: A comprehensive cost analysis model for video-on-demand system. In: 2010 IEEE 2nd International Advance Computing Conference, IACC 2010, 19 February 2010 through 20 February 2010, Patiala; India.

[img] Text
Restricted to Registered users only

Download (233kB)
Official URL:


This paper presents the study on the cost analysis for the Video-on-Demand (VoD) system exploiting the advantages of the Peer-to-Peer (P2P) architecture. Our objective is to tackle the problems in analyzing cost and to come up with efficient cost analysis model (CCAM) thereby enhancing the revenue to the system. We adopt a partially decentralized P2P architecture with a cluster based approach to find the probability of the requests for the videos in that cluster and to place the videos closer to the customers. The results of the simulation experiment demonstrates that most of the video requests are delivered to the customers almost immediately with a faster response-time. The results also indicate that our approach accomplishes maximum revenue with less rejection ratio and a moderate peer-load when compared to the conventional approach which uses random arrival pattern contributing a substantial revenue to the VoD system. ©2010 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: cited By 0; Conference of 2010 IEEE 2nd International Advance Computing Conference, IACC 2010 ; Conference Date: 19 February 2010 Through 20 February 2010; Conference Code:79968
Uncontrolled Keywords: Arrival patterns; Cluster based approach; Conventional approach; Cost analysis; Maximum revenue; P2P architecture; Peer to peer; Peer-to-peer architectures; Rejection ratios; Simulation experiments; Video-on-demand system, Cluster computing; Cost accounting; Costs; Peer to peer networks; Video on demand, Cost benefit analysis
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Mr. Kirana Kumar D
Date Deposited: 18 Mar 2016 09:27
Last Modified: 18 Mar 2016 09:27

Actions (login required)

View Item View Item