Sentence examples for knowledge of the workload from inspiring English sources

Our system employs an adaptive scheme that automatically adjusts the level of indexing according to the granularity of the incoming queries, without assuming any prior knowledge of the workload.

A major first step in this model is the knowledge of the workload profile during competition, which could be defined as the description of the athletes' movement patterns combined with physiological demands (ie, heart rate (HR), sources of muscular energy).

With either option, selecting the appropriate cloud resources requires knowledge of the database workload and size.

Furthermore under mild assumptions we design and analyze controllers that drive the data center to the optimal state without knowledge of the current total workload to be handled by the data center.

These variables include patients' baseline risk, patients' history of angina, impaired circulation or hypertension, patients' marital status, age and gender, GPs' professional experience (number of years in general practice), GPs' prior knowledge of the allocated format, GPs' workload, and an affiliation between patient and GP of more than five years.

Due to the network traffic analysis, the attacker may obtain knowledge of how much workload the sensor network critical nodes are burdened with [18, 19].

(Participant 004) b) Lack of adequate clinical knowledge, "But sometimes the workload becomes too much to bear that you even want to run away even though I think its fulfilling especially when you see a patient get better because of an intervention you made".

Software engineers often have to estimate the performance of a software system before having full knowledge of the system parameters, such as workload and operational profile.

The experimental results demonstrate that our approach can reduce cost and brown energy usage with efficient utilization of green energy and without a priori knowledge of future workload, availability of renewable energy, and grid electricity prices.

Experimental results for energy prediction demonstrate that we can accurately predict the peak energy consumption of an application on a target platform; whereas, results for energy optimization indicate that with no a priori knowledge of workloads sharing the platform we can save up to 24% of the overall HPC system's energy consumption under benchmarks and real-life workloads.

Table 2 A summary of power management types Management Type SPM DPM Level: At the design of logic, circuits, and architecture levels At the knowledge of the resource usage and application workloads Reduction: It is permanent It is temporary Implementation: At the hardware level At the hardware and software levels.