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*Median; ‡estimated from IQR; †data provided by authors following request.
Assuming that the multi-VM migration requests follow a Poisson arrival process, a Markov chain describing the network state evolution can be defined using the following parameters: λ: migration request arrival rate; μ: migration service rate; A 0=λ/μ: load offered to the inter-DC network as seen by the local DC.
For SUs, we assume that spectrum request arrival follow Poisson distribution and each SU class i has arrival rate λ i.
The content request arrival process follows a Poisson process, with the average request rate per UE γ.
The request arrival rate follows a Poisson distribution, as shown in Table 1.
For content request pattern, content requests are usually assumed to arrive in the network exogenously and the content request arrival process usually follows the Poisson process.
Upon request arrival, a resource is acquired if the following occurs: (i) No available resource satisfies the request SLA AND The acquisition of the resource will lead to a profit OR (ii) Rejecting the request will lead to a B that is higher than the specified GoS. .
The results so far assume a Poisson request arrival process.
where is the request arrival rate for video and assuming a Poisson arrival process.
RH runs in Thread 1, listening for incoming requests from the User module is activated upon every request arrival.
We also study the impacts of different request arrival processes and video workloads.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com