John G. Webster (Editor) 's 37.Multimedia PDF

By John G. Webster (Editor)

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3). Resolving Internal Contention for CRS (RIC) The CRS problem is involved with scheduling multiple composite tasks. RIC, however, focuses on the scheduling of a single composite task. The problem is that even scheduling a single composite task might not be possible due to retrieval contention among its constituting atomic tasks. RIC is very much like the clairvoyant ARS problem. The distinction is that a task can start sooner than its release time, employing upsliding. RIC can also be considered as a similar problem to ASRϩ where all the tasks have an identical release time but different start time.

DISTRIBUTED MULTIMEDIA SYSTEMS • ᐉ(t): Length (size of the object referenced by t, ᐉ:T Ǟ N. The unit is in number of blocks. • c(t): Consumption rate of the object referenced by t, 0 Ͻ c(t) Յ 1. This rate is normalized by RD. 40 means that the consumption rate of the object referenced by t is 40% of RD, the cluster bandwidth. • p(t): The cluster that contains the first block of the object referenced by t, 1 Յ p(t) Յ D. It determines the placement of the object referenced by t on the clusters. We denote a task ti as a quadruple: ͗r(ti), ᐉ(ti), c(ti), p(ti)͘.

Resolving Internal Contention for CRS (RIC) The CRS problem is involved with scheduling multiple composite tasks. RIC, however, focuses on the scheduling of a single composite task. The problem is that even scheduling a single composite task might not be possible due to retrieval contention among its constituting atomic tasks. RIC is very much like the clairvoyant ARS problem. The distinction is that a task can start sooner than its release time, employing upsliding. RIC can also be considered as a similar problem to ASRϩ where all the tasks have an identical release time but different start time.

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37.Multimedia by John G. Webster (Editor)


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