RAID: high-performance, reliable secondary storage
ACM Computing Surveys (CSUR)
Fault tolerant design of multimedia servers
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Adventures in building the Stony Brook video server
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
ADSL and DSL Technologies
Cost Analyses for VBR Video Servers
IEEE MultiMedia
High Availability in Clustered Multimedia Servers
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Reliability Modeling of Hard Real-Time Systems
FTCS '98 Proceedings of the The Twenty-Eighth Annual International Symposium on Fault-Tolerant Computing
FTCS '98 Proceedings of the The Twenty-Eighth Annual International Symposium on Fault-Tolerant Computing
The Evolution to Network Storage Architectures for Multimedia Applications
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
MPEG: Achievements and Future Projects
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Performance model of interactive video-on-demand systems
IEEE Journal on Selected Areas in Communications
The impact of overload conditions on computer network reliability
Information Processing Letters
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
Analysis and investigation of reliability model in computer networks
SEPADS'07 Proceedings of the 6th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems
Investigation of the reliability of multiserver computer networks
ASMTA'11 Proceedings of the 18th international conference on Analytical and stochastic modeling techniques and applications
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To analyze the performance of multimedia service systems, which have unreliable resources, and to estimate the capacity requirement of the systems, we have developed a capacity planning model using an open queueing network. By acquisition of utilization, queue length of the resources and packet delay, and reliability of the systems, we have derived the service capacity of the systems along with the arrival rates of clients and the failure rates of the resources. We have validated the proposed capacity planning model by comparison of analytic results with simulation output.