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In this section, we consider offline throughput maximization for the multi-way relay channel.
In this paper, we consider offline validation of hard real-time systems composed of both periodic and sporadic tasks, embedded on centralized multi-processor architectures.
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We consider the offline sorting buffer problem.
We consider the offline optimization of a sequence for communication scheduling in networked control systems.
We consider preemptive offline and online scheduling on identical machines and uniformly related machines in the hierarchical model, with the goal of minimizing the makespan.
Big data applications for smart city planning in areas like energy, traffic, education, and healthcare are considered offline.
To address this situation, several existing works have considered offline optimal power control designs for fading channels [24, 25].
The study accounted for the "always-on" broadband connections by monitoring only active usage: If a PC went idle for 30 minutes, it was considered offline and those last 30 minutes were counted as just one minute.
This paper essentially bridges the formulation that considered offline scheduling of data that become available at arbitrary points in time [1, 2] (where there is no energy harvesting) and the formulation in which chunks of energy becoming available at arbitrary points in time [11, 12] on a BC (where data are pooled at the beginning).
We consider both the offline and online scheduling problems.
Without loss of generality, the present framework is implemented in the offline case, in which we consider non-casual information about the environment variables.
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