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Using Little's Law, one can calculate throughput with the equation: = where: I is the number of units contained within the system, inventory; T is the time it takes for all the inventory to go through the process, flow time; R is the rate at which the process is delivering throughput, flow rate or throughput.
Reasons for measuring throughput in networks. People are often concerned about measuring the maximum data throughput in bits per second of a communications link or network access. A typical method of performing a measurement is to transfer a 'large' file from one system to another system and measure the time required to complete the transfer or ...
Throughput is controlled by available bandwidth, as well as the available signal-to-noise ratio and hardware limitations. Throughput for the purpose of this article will be understood to be measured from the arrival of the first bit of data at the receiver, to decouple the concept of throughput from the concept of latency.
It is typically measured at a reference point below the network layer and above the physical layer. The simplest definition is the number of bits per second that are physically delivered. A typical example where this definition is practiced is an Ethernet network. In this case, the maximum throughput is the gross bit rate or raw bit rate.
Bandwidth sometimes defines the net bit rate (aka. peak bit rate, information rate, or physical layer useful bit rate), channel capacity, or the maximum throughput of a logical or physical communication path in a digital communication system. For example, bandwidth tests measure the maximum throughput of a computer network.
Given an arrival rate λ, a dropout rate σ, and a departure rate μ, length of the queue L is defined as: L = λ − σ μ {\displaystyle L={\frac {\lambda -\sigma }{\mu }}} . Assuming an exponential distribution for the rates, the waiting time W can be defined as the proportion of arrivals that are served.
Throughput of an architecture is the execution rate of a task: = = =, where ρ is the execution density (e.g., the number of stages in an instruction pipeline for a pipelined architecture); A is the execution capacity (e.g., the number of processors for a parallel architecture).
Throughput Accounting uses three measures of income and expense: The chart illustrates a typical throughput structure of income (sales) and expenses (TVC and OE). T=Sales less TVC and NP=T less OE. Throughput (T) is the rate at which the system produces "goal units".