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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.
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".
In mathematical queueing theory, Little's law (also result, theorem, lemma, or formula [1] [2]) is a theorem by John Little which states that the long-term average number L of customers in a stationary system is equal to the long-term average effective arrival rate λ multiplied by the average time W that a customer spends in the system ...
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 ...
The packet transmission time in seconds can be obtained from the packet size in bit and the bit rate in bit/s as: Packet transmission time = Packet size / Bit rate. Example: Assuming 100 Mbit/s Ethernet, and the maximum packet size of 1526 bytes, results in Maximum packet transmission time = 1526×8 bit / (100 × 10 6 bit/s) ≈ 122 μs
First-pass yield (FPY), also known as throughput yield (TPY), is defined as the number of units coming out of a process divided by the number of units going into that process over a specified period of time.
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).