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The user submits a set of jobs to execute in the cluster.
As can be observed in Fig. 4, our scheduler consists of the following steps: The user submits a set of jobs to execute in the cluster.
The greedy procedure of the scheduler reduces the finishing time of the jobs on the machines by allowing similar priority jobs to execute concurrently on the given identical machines[10].
This is because when the deadlines of the jobs are more stringent, jobs need to execute closer to their earliest start times to meet their deadlines, which agrees with the objective of TSP1 and not with the objective of TSP2, which schedules jobs to execute at their latest possible times.
For example, the authors present a Deadline-aware Tasks Packing (DTP) approach where the idea is to assign the map tasks and reduce tasks of jobs to execute on existing VMs as much as possible until a job cannot meet its deadline, in which case a new VM is provisioned to execute the job.
This leads to less contention for resources and allows more jobs to execute at or closer to their earliest start times, resulting in a lower P, T, and O. Similar to PD-SL-TSP1, it is observed that for ED-SL-TSP2, P and O decrease as s max increases.
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"The game plan's good, and it's my job to execute it".
The "computer programmer" might have a single job to execute with little room to ask questions and be curious.
This is expected because FIFO prioritizes executing jobs that have earlier arrival times and schedules each job to execute at its earliest possible time.
However, as expected the FIFO Scheduler did achieve a lower T because it prioritizes executing jobs that have earlier arrival times and schedules each job to execute at its earliest possible time.
Moreover, the number of migrations is limited by the task-to-core mapping (performed offline), which forces a job to execute in the pre-assigned cores instead of migrating between an arbitrary number of cores as it would happen in a global approach.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com