TY - JOUR
T1 - Supporting caching and mirroring in distributed video-on-demand architectures
AU - Yang, X. Y.
AU - Cores, F.
AU - Ripoll, A.
AU - Hernández, P.
AU - Qazzaz, B.
AU - Suppi, R.
AU - Luque, E.
PY - 2004/12/1
Y1 - 2004/12/1
N2 - Distributed Videoon-Demand (DVoD) systems are proposed as a solution to the limited streaming capacity and null scalability of centralized systems. In such full decentralized architectures with storage constraints, server content management is crucial to achieving an efficient resource utilization. We have proposed and evaluated, through an analytical model, a combined scheme with caching and mirroring to manage distributed servers storage. The results show that our approach achieves the best mean service distance, independently of underlying architecture. In order to support this scheme, we have modified the storage manager of our VoD prototype so as to guarantee that the new workload of this scheme does not affect disk throughput. © Springer-Verlag 2004.
AB - Distributed Videoon-Demand (DVoD) systems are proposed as a solution to the limited streaming capacity and null scalability of centralized systems. In such full decentralized architectures with storage constraints, server content management is crucial to achieving an efficient resource utilization. We have proposed and evaluated, through an analytical model, a combined scheme with caching and mirroring to manage distributed servers storage. The results show that our approach achieves the best mean service distance, independently of underlying architecture. In order to support this scheme, we have modified the storage manager of our VoD prototype so as to guarantee that the new workload of this scheme does not affect disk throughput. © Springer-Verlag 2004.
M3 - Article
SN - 0302-9743
VL - 3149
SP - 792
EP - 798
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -