Sentence examples for task capacity from inspiring English sources

The original MIA is an instrument in english composed by 108 items, divided into seven dimensions of metamemory (Strategy, Task, Capacity, Change, Anxiety, Achievement and Locus).

Load map task capacity is the factor that has the second greatest influence (almost 21% of the contribution) on the job turnaround.

It can be seen that the optimum level for each factor is represented by the highest point in the graph (as presented in Figure 6); that is, L2 for time of system up, L2 for map task capacity, L1 for reduce task capacity, etc.

For example, experiment 3 involves values of time of system up fewer than 0, map task capacity fewer than 0, reduce task capacity greater than or equal to 0, network rx bytes greater than or equal to 0, and so on.

As can be seen in the contribution column of Table 15, these results can be interpreted as follows (represented graphically in Figure 8): Load reduce task capacity is the factor that has the most influence (almost 50% of the contribution) on the job turnaround in this experiment.

The results of this case study show, based on both the graphical and statistical data analysis of the SNR, that the Load reduce task capacity into which is used by the Job in a MapReduce application in our cluster has the most influence in its job turnaround measure.

Table 12 Factor effect rank on the job processing time output objective   Time of system Up Map tasks capacity Reduce tasks capacity Net.

Table 8 Experiment factors and levels Factor number Factor name Level 1 Level 2 1 Time of CC system up < 0.0 ≥ 0.0 2 Load map tasks capacity < 0.0 ≥ 0.0 3 Load reduce tasks capacity < 0.0 ≥ 0.0 4 Network Rx bytes < 0.0 ≥ 0.0 5 Network Tx bytes < 0.0 ≥ 0.0 6 CPU utilization < 0.0 ≥ 0.0 7 Hard disk bytes read < 0.0 ≥ 0.0 8 Memory utilization < 0.0 ≥ 0.0 9 Response time < 0.0 ≥ 0.0.

Table 13 Optimum levels for factors of the processing time output Factor number Performance measure Optimum level 1 Time of CC System Up ≥ 0 (Load2 Load map tasks capacity ≥ 0 (Load3 Load reduce tasks capacity < 0 (L1) 4 Network Rx bytes ≥ 0 (L2) 5 Network Tx bytes ≥ 0 (L2) 6 CPU utilization < 0 (L1) 7 Hard disk bytes read ≥ 0 (L2) 8 Memory utilization ≥ 0 (L2) 9 Response time ≥ 0 (L2).

As the example above indicates, the TopkTR problem not only recommends k cheapest teams but also satisfies the constraints of spatial range and skill requirement of tasks, capacity of workers and no free rider in teams.

This requires to model learners profiles, learning concepts, how tasks attain concepts at different competence levels, synchronisation constraints for working-group tasks, capacity resource constraints, multi-criteria optimisation, breaking symmetry problems and designing particular heuristics.