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For example, if the qi,1 represents queue i (i=1, 2,…,n) at round 1, then the scheduler in Figure1 schedules packets as: q 1, 1 → q 2, 1 → q 3, 1 → q 4, 1 → q 1, 1 → q 2, 1 → q 3, 1 → q 4, 1. Completion of the above sequence constitutes a round.
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where d i r represents the queue delay in the error system, d i represents the queue delay in the error-free system, and I i error represents the period when the flow is in the error channel.
We let be the queue length in at the beginning of slot and use an -dimensional Markov chain to represent the queue lengths in all transmitters.
A set can be used to represent the queue.
The weights are chosen to represent the queue differences in order to support low delays.
Fig. 1 Illustration of DRWL with the x-axis representing the queue occupancy x.
Value of this Lyaponov function generally can be understood as an index to represent the queue lengths.
Zhang et al. [32] presents a queueing network model where each queue represents a tier of a web application, which is parameterized by means of a regression-based approximation of the CPU demand of customer transactions.
Lower mean, variance, and standard deviation of queue delay represent a steadier queue delay for the algorithm.
where Q=E[Q(i)] represents the average queue length at the relay buffer and R a (in packets/slot) is the average arrival rate into the queue.
Each queue represents either a physical resource (e.g., CPU, network bandwidth, etc) or a software buffer (e.g., admission control, or connection pools).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com