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Task deadlines are not considered.
Task deadlines may be required by users or self-imposed by the data center [29].
In this paper, we provide a perspective on evaluating the energy consumption of cloud-computing data centers by considering various task deadlines, resource requirements, and server energy profiles.
Here, for a given number of n task arrivals with a Poisson distribution, the number of servers M is bounded by the task deadlines B j and service rate μ j at each server.
After assigning a work unit, the scheduler can make an educated guess on when the client will finish execution and request further work, based on past behaviour and task deadlines.
Response time analysis [1] is a traditional approach for concluding on schedulability; the response times of the real-time tasks are calculated using WCET and blocking times, and the system is schedulable if the response times are less than the task deadlines.
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The MOD system usually fails when it misses a task deadline.
The scheduler allocates a task based on the minimum of the task deadline and the server queue length.
If the task deadline is smaller than the waiting time in the server queue, the task will be placed to a server that meets the deadline constraint.
Here, the number of tasks assigned to a server is such that the server ensures that all tasks can be processed within the task deadline constraint.
For simplicity but, without losing generality, we set the queue capacity of S j for type i tasks equal to the task deadline B i,j.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com