Abstract
One-to-any multimedia streaming has been a challenging issue for many researchers due to the lack of stability and reliability. Furthermore, it is highly demanded that high-level software reliability and accurate timeliness for critical tasks such as medical or disaster monitoring system. In order to assure the robustness of video streaming, fault tolerance mechanism, this paper proposes a mechanism and experimental system for detecting fault and recovery. This system includes a fault-free master-node to provide one-to-any video streaming applications with enhanced sustainability. The experiments showed that the fault detection and recovery time of the proposed system were fairly small. The fault detections were done within 137ms in average, and the fault recoveries were completed within 33ms in average.
This is a preview of subscription content, log in via an institution to check access.
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
Kim(Kane), K.H.: APIs for Real-time Distributed Object Programming. IEEE Computer 33(6), 72–80 (2000)
Kim(Kane), K.H., Moon, K.-D., Park, J.H., Zheng, L., Zhou, Q.: Fault-Tolerance in Universal Middleware Bridge. In: 11th IEEE Symposium on Object Oriented real-Time Distributed Computing (ISORC) (2008)
Kim(Kane), K.H., Liu, J.J.Q.: Techniques for Implementing Support Middleware for the PSTR Scheme for Real-Time Object Replication. In: Proceedings of the 7th IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC) (2004)
Zhou, Q.: Robust Integration of Multi-Level Fault Detection Mechanisms and Recovery Mechanisms in a Component-based Support Middleware Model for Fault Tolerant Real-Time Distributed Computing. Doctor of Philosophy in Electrical and Computing Engineering of University of California (2009)
Pullum, L.: Software Fault Tolerance Techniques and implementation. Artech House computing library, Boston (2001)
Padmanabhan, V.N., Wang, H.J., Chou, P.A.: Resilient Peer-to-Peer Streaming. In: 11th IEEE International Conference on Network Protocols (2003)
Wu, C., Li, B.: rStream: Resilient and Optimal Peer-to-Peer Streaming with Rateless Codes. IEEE Transactions on Parallel and Distributed Systems 19 (2008)
Liang, J., Nahrstedt, K.: DagStream: Locality Aware and Failure Resilient Peer-to-Peer Streaming. Multimedia Computing and Networking (2006)
Shah, S., Dharmarajan, S., Ramamritham, K.: An Efficient and Resilient Approach to Filtering and Disseminating Streaming Data. In: Proceedings of the 29th International Conference on Very Large Data Bases, VLDB 2003 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ryu, BH., Jeon, D., Kim, DH. (2011). A Robust Video Streaming Based on Primary-Shadow Fault-Tolerance Mechanism. In: Kim, Th., Adeli, H., Robles, R.J., Balitanas, M. (eds) Ubiquitous Computing and Multimedia Applications. UCMA 2011. Communications in Computer and Information Science, vol 150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20975-8_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-20975-8_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20974-1
Online ISBN: 978-3-642-20975-8
eBook Packages: Computer ScienceComputer Science (R0)