Shared-buffer smoothing of variable bit-rate streams

Anastasiadis, Stergios V.; Sevcik, Kenneth C.; Stumm, Michael

doi:10.1016/j.peva.2004.06.001

Cited by 3 publications

(1 citation statement)

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“…In order to keep the system performance predictable and unbiased by particular disk geometry features, when we allocate strides for a stream within each disk, we distribute them across all the zones of the disk. We create a separate metadata manager for each disk in order to be able to fully implement disk arrays consisting of heterogeneous disks [Anastasiadis et al 2005]. This feature might prove crucial for the incremental growth and economic survival of large scalable media storage installations.…”

Section: Metadata Managementmentioning

confidence: 99%

Scalable and fault-tolerant support for variable bit-rate data in the exedra streaming server

2005

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We describe the design and implementation of the Exedra continuous media server, and experimentally evaluate alternative resource management policies using a prototype system that we built. Exedra has been designed to provide scalable and efficient support for variable bit-rate media streams whose compression efficiency leads to reduced storage space and bandwidth requirements in comparison to constant bit-rate streams of equivalent quality. We examine alternative disk striping policies, and quantify the benefits of innovative techniques for storage space allocation, buffer management, and resource reservation, which we developed to achieve both predictability and high-performance in handling disk and network data transfers of variable size. Additionally, we investigate the differences between diverse data replication schemes over disk arrays, and compare methods for disk access time reservation that enable tolerance of disk failures at minimal cost. Overall, we demonstrate the feasibility of building network media servers that exploit the latest advances in media compression technology towards reducing the cost of wide-scale streaming services for stored data.

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Section: Metadata Managementmentioning

confidence: 99%