jmeter - How Throughput and Response time are related - Stack Overflow
This includes any intervals between samples, as it is supposed to The relationship is: higher response time - lower throughput and vice versa. Difference between Response time & Throughput Response time: This is the time difference between submission of a request until the. The Throughput graph shows the amount of data in bytes that the Vusers When we compare this with the transaction response time, we will notice that as.
Walking around, you can see that each of them is at a different page.
Response time and throughput
Some are reading content, others are clicking around, and still others have stopped to take a call on their phone. One guy actually fell asleep! These are concurrent users. But if you want a measure of activity, you need to look at how many requests are being sent to the servers over time.
Like a Conveyor Belt Understanding throughput is fairly straightforward.
Tests are sending a certain number of HTTP requests to the servers, which are processing them. This total is then calculated in one-second intervals. To keep the math simple, if a server receives 60 requests over the course of one minute, the throughput is one request per second. One widget at a time is passed through a machine that stamps it with a label. Concurrent users are a different way of looking at application traffic.
In planning our load tests, our goal is often to measure whether or not our application not just the web server, but the entire stack can handle an expected amount of traffic.
Among the easier variables for us to work with is how many users we expect to have visiting the site and interacting with various pages, or using an app from mobile devices.
Response time and throughput
We might also get them straight from machine logs. That usually leads us to develop our test cases based on the idea of a user or visitor.
We create a script in a tool like Apache JMeter that mirrors what we expect users to do, such as navigating through a retail site, searching for an item, choosing one and buying it, registering for an account, editing profile preferences, and so on.
Scripting like this is a good practice since it exercises the same components throughout the stack that will be hit with actual production traffic. We would say that these are concurrent users, but not making concurrent requests.
What is the Relationship Between Users and Hits Per Second? | BlazeMeter
The hits per second that those concurrent users generate will only be based on their actual interactions with the app, when they click a button or a link or submit a form. For instance you have API and you want to find how much time that API takes to execute once invoked, you are in fact measuring response time. So how do we measure them?Jmeter Tutorials - How to Calculate Throughput in Apache Jmeter
Simple use a StopWatch System. Latency — In simplest terms this is Remote Response time. For instance, you want to invoke a web service or access a web page. Apart from the processing time that is needed on the server to process your request, there is a delay involved for your request to reach to server. Imagine your data center in US, and accessing it from India.
How we measure Latency?
There are some network simulation tools out there that can help you — one such tool can be found here. A typical enterprise application will have lots of users performing lots of different transactions.
What is the Relationship Between Users and Hits Per Second?
You should ensure that your application meets the required capacity of enterprise before it hits production. Load testing is the solution for that.
Strategy here is to pick up a mix of transactions frequent, critical, and intensive and see how many pass successfully in an acceptable time frame governed by your SLAs. How to measure it? A good load testing tool like VSTS allows you to pick a mix of transactions, simulate network latency, incorporate user think times, test iterations, etc.
I would also strongly recommend this testing to be as close as possible to real world with live data.