Sentence examples for high contention for from inspiring English sources

At very high contention for resources (e.g., λ ≥ 0.025 jobs per sec), RM-DCWF outperforms MRCP-RM.

In addition, the high contention for resources makes jobs susceptible to miss their deadlines and leads to RM-DCWF's Job Remapping algorithm being invoked more often.

For example, in experiments with a very high contention for resources, leading to an average resource utilization of 0.9, the average matchmaking and scheduling time of the algorithm was measured to be less than 0.05 s.

However, it is interesting to note that for this arrival rate that leads to a high contention for resources, PD-SL-TSP1 achieves a higher T and O in comparison to ED-SL-TSP2.

This can be attributed to the very high contention for resources (average resource utilization is greater than 0.9) causing jobs to queue up on the system and MRCP-RM having to solve complex constraint programs comprising a large number of decision variables and constraints.

The higher O achieved by FIFO can be attributed to FIFO attempting to schedule all the arriving jobs, which arrive relatively close to each other due to the high arrival rate, to execute at their earliest start times causing a high contention for resources.

However, when λ is between 0.01875 to 0.0225 jobs per sec, generating a moderate-to-high contention for resources (e.g., average resource utilization is approximately between 0.7 and 0.85), MRCP-RM is observed to achieve up to a 22% lower P (on average 11% lower) compared to that achieved by RM-DCWF.

Moreover, when there is high contention of clients connected in each surrogate, it is more likely for more clients to request the same (cached) content.

For nodes with high contention priority (usually medical nodes), it was shown that these nodes achieved much higher throughput combined with much lower delay comparing to the throughput and delay achieved by low priority nodes which employed for entertainment purposes.

However, their performance can be significantly degraded in situations of high contention because of the high overhead accrued for resolving collisions.

This is caused by high contention among nodes.