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The main performance metrics for JNCCs are scalability to larger networks and error rate.
These expressions are directly used to compute our main performance metrics, namely, the ASR and EE.
The main performance metrics considered in this evaluation were hit rate and byte hit rate.
Section 2 provides background information on main performance metrics, stream merging, and request scheduling techniques.
The main performance metrics are analyzed and a comparison is carried out based on electrical simulations.
In this section, we discuss the main performance metrics used to evaluate scheduling policies in streaming servers.
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We focused on two main system performance metrics: memory consumption and throughput (in number of requests serviced per second).
A dual task design should meet the requirement of measuring both "main and concurrent task performance metrics in single and dual tasks" [ 28, page 1834].
We describe our system model in Section 2. The performance metrics and main results are given in Section 3. In the same section, much simpler expressions are obtained by making specific assumptions on the system model.
The main issues addressed by output analysis follow replication design, estimation of performance metrics, and system analysis and experimentation.
The main contributions of this research include: (a) development of three new system performance metrics that describe desired properties of complex systems; (b) design of algorithms that use the metrics to identify critical nodes; and (c) analysis of characteristics of the metrics and algorithm complexity.
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primary performance metrics
main performance parameters
main performance criteria
basic performance metrics
core performance metrics
main performance results
main tag metrics
main cost metrics
main exposure metrics
main glucose metrics
main performance differentiators
main flow metrics
main evaluation metrics
main quality metrics
main performance awards
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