Exact(15)
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.
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.
However, our analysis revealed that the preassignment of tasks with the minimum cost does not necessarily lead to the minimization of the schedule length.
For general case, when ρ<1+δ+√δ2−6δ+52, the schedule length of our multi-hop scheduling algorithm will be less than that of the optimal single-hop scheduling algorithm.
Similar(45)
New York State rules dictate that if a fight has gone half the scheduled length, in this case 10 rounds, and if it is ruled that an accidental head-butt caused the fight to be stopped, a decision is awarded based on the judges' cards.
Hence, in the best case, we can have the scheduling length near to the optimum scheduling length over different energy budgets as can be seen in Fig. 11.
In Fig. 11, the scheduling length resulted from our scheme is compared with the CNPT algorithm proposed in [18], whose only objective is to minimize the scheduling length for each energy budget.
The main objective is to minimize the scheduling length of the task graph and maximize the lifetime of the sensor nodes.
The performance of our proposed algorithms in terms of the scheduling length and fairness in the energy-driven task mapping objectives is evaluated through simulation.
Write better and faster with AI suggestions while staying true to your unique style.
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