Elapsed time . JMeter measures the elapsed time from just before sending the request to just after the last response has been received. JMeter does not include the time needed to render the response, nor does JMeter process any client code, for example Javascript.

Latency . JMeter measures the latency from just before sending the request to just after the first response has been received. Thus the time includes all the processing needed to assemble the request as well as assembling the first part of the response, which in general will be longer than one byte. Protocol analysers (such as Wireshark) measure the time when bytes are actually sent/received over the interface. The JMeter time should be closer to that which is experienced by a browser or other application client.

Median is a number which divides the samples into two equal halves. Half of the samples are smaller than the median, and half are larger. [Some samples may equal the median.] This is a standard statistical measure. See, for example: Median entry at Wikipedia. The Median is the same as the 50 ^th Percentile

90% Line (90 ^th Percentile) is the value below which 90% of the samples fall. The remaining samples too at least as long as the value. This is a standard statistical measure. See, for example: Percentile entry at Wikipedia.

Standard Deviation is a measure of the variability of a data set. This is a standard statistical measure. See, for example: Standard Deviation entry at Wikipedia.

The Thread Name as it appears in Listeners and logfiles is derived from the Thread Group name and the thread within the group.

The name has the format groupName + " " + groupIndex + "-" + threadIndex where:

• groupName - name of the Thread Group element
• groupIndex - number of the Thread Group in the Test Plan, starting from 1
• threadIndex - number of the thread within the Thread Group, starting from 1

A test plan with two Thread Groups each with two threads would use the names:

Thread Group 1-1
Thread Group 1-2
Thread Group 2-1
Thread Group 2-2

Throughput is calculated as requests/unit of time. The time is calculated from the start of the first sample to the end of the last sample. This includes any intervals between samples, as it is supposed to represent the load on the server.

The formula is: Throughput = (number of requests) / (total time).