2002
DOI: 10.1109/tpds.2002.1019860
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Decentralized resource management for a distributed continuous media server

Abstract: Distributed continuous media server (DCMS) architectures are proposed to minimize the communication-storage cost for those continuous media applications that serve a large number of geographically distributed clients. Typically, a DCMS is designed as a pure hierarchy (tree) of centralized continuous media servers. In an earlier work, we proposed a redundant hierarchical topology for DCMS networks, termed RedHi, which can potentially result in higher utilization and better reliability over pure hierarchy. In th… Show more

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Cited by 18 publications
(9 citation statements)
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“…Recent work on streaming applications focused on scalability and reliability issues on distributed servers (Anastasiadis et al, 2002;Chou et al, 2000;Gafsi and Biersack, 2000;Golubchik et al, 2001;Lee and Wong, 2000;Shahabi and Banaei-Kashani, 2002;Wu et al, 2001;Zhang et al, 2000). Video streams require huge amount of bandwidth in disk I/O and network-I/O interfaces.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Recent work on streaming applications focused on scalability and reliability issues on distributed servers (Anastasiadis et al, 2002;Chou et al, 2000;Gafsi and Biersack, 2000;Golubchik et al, 2001;Lee and Wong, 2000;Shahabi and Banaei-Kashani, 2002;Wu et al, 2001;Zhang et al, 2000). Video streams require huge amount of bandwidth in disk I/O and network-I/O interfaces.…”
Section: Related Workmentioning
confidence: 99%
“…The relative popularity of a video is supposed to be known before the replication and placement, which could be obtained from the rental history of video stores. Like work in Aggarwal et al (2001), Shahabi and Banaei-Kashani (2002), Venkatasubramanian and Ramanathan (1997) and Wolf et al (1997), we consider the relative popularity of videos follows Zipf-like distribution with a skew parameter of y, 0:271pyp1. The probability of choosing the ith video is p i ¼ i Ày = P m j¼1 j Ày .…”
Section: The Modelmentioning
confidence: 99%
“…However, certain characteristics of the multimedia objects such as high I/O bandwidth requirements and duration of the transmission, pose additional challenges. Our approach to video delivery in a distributed multi-server system is based on the framework combining proxy caching with periodic broadcast, and as such differs from other distributed multimedia systems [5][6][7].…”
Section: Related Workmentioning
confidence: 99%
“…To obtain the maximum system streaming capacity, we saturated the system using a high request ratio (10 req/min by network) and simulated the system behavior until the aggregate bandwidth is exhausted. When there is no bandwidth available, the system achieves its maximum streaming capacity and we evaluate the system performance (effective bandwidth using unicast and patching [12]) .…”
Section: Effect Of Multicast On Distributed Vod Architecturesmentioning
confidence: 99%