Abstract
The Video-on-Demand (VoD) application is popular as the videos are delivered to the users at anytime and anywhere. The system load is increased due to simultaneous access of VoD system by many users. The proposed architecture discusses load balancing mechanism within a video server and to provide service to the users with small start-up delay. The Video storage is based on the probability of the users requesting for the video. Videos with higher request probability are stored and replicated to ensure guaranteed retrieval. Parity generation scheme is employed to provide reliability to non-popular videos. The system is also capable of handling disk failures transparently and thereby providing a reliable service to the user.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Niyato, D., Srinilta, C.: Load Balancing Algorithms for Internet Video and Audio Server. In: 9th IEEE Intl. Conference on Networks, pp. 76–80 (2001)
Lee, Y.B., Wong, P.C.: VIOLA-A Scalable and Fault-Tolerant Video-on-Demand System. In: Hong Kong Intl. Computer Conference, pp. 1–5 (1997)
Choe, Y.R., Pai, V.S.: Achieving Reliable Parallel Performance in a VoD Storage Server Using Randomization and Replication. In: Intl. Parallel and Distributed Processing Symposium, pp. 1–10 (2007)
Golubchik, L., Muntz, R.R., Chou, C.-F., Berso, S.: Design of Fault-Tolerant Large-Scale VOD Servers: With Emphasis on High-Performance and Low-Cost. IEEE Transactions on Parallel and Distributed Systems 12(4), 97–109 (2001)
Zhou, X., Xu, C.-Z.: Optimal Video Replication and Placement on a Cluster of Video-on-Demand Servers. In: Intl. Conference on Parallel Processing, pp. 547–555 (2002)
Huang, X.-M., Lin, C.-R., Chen, M.-S.: Design and Performance Study of Rate Staggering Storage for Scalable Video in a Disk-Array-Based Video Server. In: Intl. workshop on Network and Operating Systems support for Digital Audio and Video, pp. 177–182 (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sujatha, D.N., Girish, K., Rashmi, B., Venugopal, K.R., Patnaik, L.M. (2007). Load Balancing in Fault Tolerant Video Server. In: Yin, H., Tino, P., Corchado, E., Byrne, W., Yao, X. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2007. IDEAL 2007. Lecture Notes in Computer Science, vol 4881. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77226-2_32
Download citation
DOI: https://doi.org/10.1007/978-3-540-77226-2_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77225-5
Online ISBN: 978-3-540-77226-2
eBook Packages: Computer ScienceComputer Science (R0)