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Let us then begin with an ordinary paper schedule of computations.
In this study, we consider the two constituent sub-problems of Grid scheduling, namely: (i) the scheduling of computation tasks to processing resources and (ii) the routing and scheduling of the data movement in a Grid network.
Scheduling of computations is an essential step in the process of real-time systems design.
The management of Grid resources requires scheduling of both computation and communication tasks at various levels.
Such problems arise e.g. in control applications where scheduling of limited computation or communication resources is necessary.
This case corresponds to the maximum of schedule computation time, (3) the minimum schedule computation time depends on the DFG structure.
Moreover, existing sleep scheduling techniques are unaware of computation status and often lead to unnecessary wakeup overheads.
However, the compression/uncompression will add to the already tight schedule for the computation of the baseband algorithms in WirelessHD.
This paper proposes an algorithm that allows fully utilize the Central Processing Unit Graphics Processing Unit (CPU GPU) hybrid architecture to conduct parallel computation and reasonable scheduling for computer simulation of electrocardiogram (ECG).
Figure 15 Variation of scheduling computation time according to tasks implentations.
In addition, a powerful base station [14] is used for centralized scheduling to perform a large amount of computation and communication tasks, and it is dificult for the base station to maintain the global information of the whole network, which will lead to a large amount of data transmission, and thereby cause more energy consumption.
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