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As far as we know, CyclicMAC is the first that simultaneously addresses the three design issues of TDMA scheduling, which satisfies heterogeneous bandwidth requirements, minimizing schedule table size, and reducing end-to-end latency, for multihop wireless sensor networks.
However, it also challenges traditional best-effort workflow scheduling strategies, that only focus on minimizing schedule length.
To maximize the network throughput, this algorithm looks at minimizing schedule length (i.e., finding the shortest frame which enables to schedule every link).
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Scheduling n identical jobs on m uniform parallel machines to minimize scheduling work is very common in practice.
Since we all now lead very active professional lives, at most meetings at least one person is absent, even though we moved our dinners to Sunday nights to minimize scheduling conflicts.
In this study, we propose an efficient algorithm of minimizing the schedule length using the budget level (MSLBL) to select processors for satisfying the budget constraint and minimizing the schedule length of an application.
Such problem is decomposed into two sub-problems, namely, satisfying the budget constraint and minimizing the schedule length.
Minimizing the schedule length while satisfying the budget constraint of an application is one of the most important quality of service requirements for cloud providers.
In this section, the performance evaluation of our scheme in terms of our objectives which are minimizing the scheduling length and maximizing the energy-balancing considering energy harvesting characteristics are presented.
The objective function shows the trade-off between the two task allocation objectives with weights w 1 and w 2. The first part corresponds to minimizing the scheduling length by minimizing the maximum of the finish times of all the tasks.
Previous DAG scheduling methods tried to presuppose the minimum cost assignment for each task to minimize the schedule length of budget constrained applications on heterogeneous cloud computing systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com