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In the most recent work [22], this approach have been repurposed to achieve dynamic load balancing for computations which do not constrained by deadlines.
The Western concept of "time is money" is widely known to the Chinese, but they generally resist being constrained by deadlines.
This section derives the schedulability analysis of a set of constrained-deadline fork-join tasks onto a homogeneous multicore platform.
A task set with four tasks is used where one of the tasks is decomposed into a set of constrained-deadline sub-tasks.
Decomposition-based techniques ([9,10,12]) traditionally convert tasks with density greater than one into a set of constrained-deadline sequential sub-tasks, each of which with density no greater than one.
However, the deadline constrained is a heuristic value.
In [37], the authors consider the problem of scheduling deadline constrained flows and their routing in a data center.
They determined the throughput policy for deadline constrained setting under online knowledge of the events using stochastic dynamic programming in continuous time.
Menglan et al. [42] presents a case where the effect of reserved and on-demand instances are studied for minimizing user budget for deadline constrained jobs.
Remarks 2. The maximum system utilization that can be supported is constrained by the deadline requirement and the travel costs between the headquarter and the disaster area.
In our previous work, we have constructed DREAMa (Distributed Resource Estimation and Allocation Model) [20] and related mechanisms [21] for reasoning about scheduling of deadline constrained concurrent computations over parallel and distributed execution environments.
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