Receiver-driven layered multicast
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Distributed servers architecture for networked video services
IEEE/ACM Transactions on Networking (TON)
Efficient Failure Recovery in Multi-Disk Multimedia Servers
FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
Fault Tolerant Video on Demand Services
ICDCS '99 Proceedings of the 19th IEEE International Conference on Distributed Computing Systems
Challenges, design and analysis of a large-scale p2p-vod system
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Autonomous Decentralized VoD Architecture to Achieve Service Assurance
ICDCSW '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems Workshops
A Measurement Study of a Large-Scale P2P IPTV System
IEEE Transactions on Multimedia
Carrier-grade ethernet challenges for IPTV deployment
IEEE Communications Magazine
Overview of fine granularity scalability in MPEG-4 video standard
IEEE Transactions on Circuits and Systems for Video Technology
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In the dynamic and heterogeneous environment, the quality of user experiences (QoE) is considered to be a more appropriate parameter for judging the video on demand (VoD) service quality compared to quality of service (QoS) since users have different requirements on service quality according to their places, time and devices. To achieve QoE, service providers are expected to offer a new system architecture which can satisfy different levels of demands. In addition, for users the service continuity becomes one of the most serious effect factors. However, it is difficult for conventional systems to meet heterogeneous requirements from service providers and users simultaneously. This paper introduces an autonomous demand-oriented streaming system sustained by mobile agents for information service provision and utilisation. Under the proposed architecture, autonomous fault detection and recovery technologies are proposed to assure service continuity. The effectiveness of the proposed technology is proved by the simulation.