Sentence examples similar to system loading time from inspiring English sources

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sumlimits_{g = 1}^{G} {P_{g}^{t} = PL^{t} - IL^{t} } (6) IL^{t} = sumlimits_{n = 1}^{N} {CP_{n} cdot (1 - s_{n}^{t} )} (7 where PL t is the forecasted system load at time interval t (kW); IL t is the total interrupted load capacity at time t (kW).

Accordingly, sumlimits_{i = 1}^{{N_{text{G}} }} {P_{it} I_{it} } + sumlimits_{j = 1}^{{N_{text{E}} }} {P_{jt} I_{jt} } + sumlimits_{w = 1}^{{N_{text{W}} }} {P_{wt} } = D_{t} (23 where D t is system load at time t; P wt is the generation dispatch of wind unit w at hour t; and N W is the total number of wind power units, and the dispatched wind power is constraint by (24).

Vickers indentations were made at 30-N loads using an automatic microhardness analysis system DM-8 and a loading time of 15 s.

When the source receives the ACK packet from the destination, it computes and stores network link (hop count, delay, loss) and system load (job execution time, memory usage, number of waiting jobs) information into its neighbor table.

The maximum load constraints: The peak load after IL and SL is always greater than the level of system load at any time, which are formed by: P^{prime}_{hbox{max} } ge P t) - sumlimits_{i = 1}^{M} {[S i,t)C i)]} - P_{SL,out} (t) + P_{SL,in} (t) quad forall t = 1,2,{ ldots },N (23).

This can reduce the loading time of the operating system, as well as the time required to load and access software and files.

Loading time differed (P = 0.007) between facility system design and presorting, with TFSD taking longer to load compared with NFSD.

Loading time matters.

Reduce loading time.

These overheads include the following: the time required by computing hosts/nodes for updating their system load information in a real time manner, the communication costs for sharing those load information to make a decision, and the costs of job transmission.

In the second scenario, Fig. 13 illustrates the average queuing delay per packet at the MAG versus the overall system load for the entire simulation time within a clustered environment.

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