Performance Metrics (Throughput and Latency) Throughput: Throughput is a measure of how much data can be processed through a digital system or channel p...
Performance Metrics (Throughput and Latency)
Throughput:
Throughput is a measure of how much data can be processed through a digital system or channel per unit of time. It is typically measured in bits per second (bps) or megabytes per second (MBps).
Example: If a digital system can process 10 Mbps of data, it means that 10,000 bits of data can be processed through the system per second.
Latency:
Latency is a measure of how long it takes for a digital signal to travel from a source to a destination. It is typically measured in milliseconds (ms) or microseconds (µs).
Example: If a digital signal travels from a source to a destination over a distance of 100 milliseconds, its latency would be 100 ms.
Relationship between Throughput and Latency:
Throughput and latency are related in the following way:
Higher throughput: usually results in lower latency.
Lower latency: usually results in higher throughput.
Importance of Performance Metrics:
Performance metrics are important because they help designers and developers to:
Identify bottlenecks in a digital system or channel.
Optimize the design of a digital system to improve its performance.
Measure the performance of a digital system before it is deployed.
Additional Notes:
Throughput is typically measured under ideal conditions, such as with no interference or noise.
Latency can vary depending on the length of the signal path and the devices used.
There are many different performance metrics that can be used to measure the performance of a digital system