Sentence examples for workload change from inspiring English sources

To overcome such limitation, in this work we devise a fast, run-time and automatic approach able to quickly re-configure the core-to-task mapping and the degree of parallelism of the application when the available resources or the application workload change, targeting shared-memory platforms.

The cross-sectional nature of the data does not allow dynamic analyses to verify the workload change for young people who leave the parental home; but, nevertheless, they provide interesting static comparisons between young men and women in different living arrangements.

For monthly SSD runs, the workload change ranges from a 46.6 % increase (0.0%% signal loss) to a 74.1 % decrease (50.0%% signal loss).

Compared with the baseline settings of the SSD system (6085 SDRs), when switching from quarterly to monthly SSD runs, the workload change ranges from 8923 SDRs (+46.6 %) to 1578 SDRs (−74.1 %).

Owing to heterogeneity in reporting overall workload change was hard to predict. 10 studies reported how online access offered convenience, primarily for more advantaged patients, who were largely highly satisfied with the process when clinician responses were prompt.

Three main factors add to the experience of threat and affect the decision to use the technology: change in clinical routines and increased workload; change in interactions with patients and fundamentals of face-to-face nursing work; and change in skills required with marginalisation of clinical expertise.

The problem lies in responding to workload changes of the hosted services as fast as possible.

The Amnesty France investigation found "changes to his way of working, workload, changes to his place of work", including the level of complexity, "worried him more and more".

Our evaluation shows Mesos achieve high utilization, respond quickly to workload changes, and flexibly cater to diverse frameworks while scaling to 50,000 nodes in simulation and remaining robust.

This is due to the inability to predict at run-time the effect of workload changes on performance-relevant application-level dependencies and adapt the system configuration accordingly.

The engine separates execution in two stages (navigation and dispatching) and uses a controller to allocate the node of a cluster of computers to each one of those stages as the workload changes.