Calculation of performance measures, including throughput, in-process inventory, and meeting production commitments.
These features and measures include throughput, packet loss, packet delay, and server CPU availability.
All these tentative means of efficiency should meet project and operational goals, including throughput constraints.
These features and measures include throughput, packet loss, packet delay, and server CPU utilization.
The metrics used for the performance evaluation include throughput, packet delivery ratio (PDR), end-to-end delay, energy consumption and packet delivery security.
Specifically, we make use of measurable metrics, including throughput, rejection amount, queuing state, and so on, to design resource adjustment schemes and to make control decisions adaptively.
The performance is measured and compared in terms of various key performance metrics which include throughput, packet loss, round-trip delay, interrupt rates, and CPU availability.
These features and measures include throughput, packet loss, packet delay, average number of packets in the queues and in the overall system, and CPU utilization and availability.
In this paper, we study a two-loop closed production system by means of block-structured Markov chains, and propose an effective RG-factorization solution to evaluate performance measures of the system, including throughput and WIP level.
Standard metrics include throughput, which indicates the total amount of data that can be moved through the network in a fixed amount of time, and delay, which indicates the average amount of time it takes one packet of information to travel from sender to receiver.
