If the server can handle the load, the system runs stable and you just need your user number x (according to our calculation, 4,081, for example). Thanks a lot for such a descriptive information. In terms of page views without think times this means: 300,000 users are 1,200,000 page views (for our example above). I'm trying to get distinct users by hour on a website using Logparser. So here how can I calculate the concurrent users. So what should be the user load that we can achive in LoadRunner scenario . In the performance testing term, you would say ‘a period of time’ implies ‘test duration’. Chinese Traditional / 繁體中文 If you want to measure the server side beyond the maximum “good” case, you don’t aim at the performance anymore but at the overload behavior. This way you can also test the overload behavior at the same time. Concurrent Users: The word concurrent is used only for the events that occur over a period of time i.e. Thus, our test wouldn’t cover 300,000 users with 4,081 concurrent test users but 3,600 / 34 * 4,081 = 432.105 visits per hour. +49-3641-376300 Suppose we have 1000 users in application but we are interested in concurrent users. Something like below: Day Hour Total. (concurrent users) x (requests per user per minute) = total requests per minute. Although we cannot explain the rhyme or reason behind every software vendor’s pricing practices, we can offer an explanation of the difference between both and provide a template to help initially calculate your named versus concurrent users. German / Deutsch tl;dr — This post is about using Google Analytics to determine how many concurrent users to specify in your load tests. If we want to test 1,800 visits again, we need 1,800 visits / (73.5 visits per hour per user) = 24.5 users, about 25. English / English Hi, I do not understand requirements. Let’s assume a think time of 15 sec for our example. Search Without any think time you would therefore need 333 users for the simulation. As soon as you say you have a number of x visits that could vary in their duration, you end up with a higher maximum number of visits you need to support but that you actually don’t want to test. Concurrent Calculator Concurrent Service is used to identify a member who has two contracts with one employer. Once you have those key pieces of information you can use the following formula to calculate the concurrent users. Portuguese/Brazil/Brazil / Português/Brasil 2007-04-01 0:00 127. Slovenian / Slovenščina Thai / ภาษาไทย Together we comprise more than 200 years of software testing experience and we absolutely love what we do. Concurrent Users: Concurrent users would be the total number of named users accessing the system simultaneously (concurrently). The starting and peak number of virtual users in LoadStorm represent concurrent users or the number of simulated users at a particular point in time. Now, you may want to argue that they aren’t coming simultaneously. We use cookies. At times, the concurrent user topic is getting downright absurd… Feel free to comment, any remark is appreciated. Norwegian / Norsk If you have only one page in your script, then a concurrent user will last for less than a minute and then another one will take its place. In this blog we share some of our stories and experiences, and give you insights into the world of software testing. (aud * v) / p = cu (600 [10 minutes in seconds] * 500 [sessions in 1 hour]) / 3600 [1 hour in second] = 83.33 [concurrent users] You can also use the calculator below if you would prefer. We know the total user base (1,20,0000 users) and number of users who will access the application in an hour say 10,000 users in an hour. Now, the majority of users isn’t that fast, of course, which is why usually think times get included. Most of you probably know the term Concurrent User. If the requirement was the simulation of 1,800 visits per hour and 7,200 page views per hour, we could now randomly pick a think time and by doing so, determine any number of concurrent visits aka users between 2 and x. This way you can’t reach the desired number of visits because users depend on the server’s response behavior. Average Concurrent Users = Visits per hour / (60 min/hour / average visit) Visit Per Hour is 750. IBM Knowledge Center uses JavaScript. Serbian / srpski Polish / polski I have login date/time column A[.] 59.0172 / 720 (30 days in November x 24h per day = 720) = .08 average concurrent users in November. You can also question the numbers by approaching the problem from another perspective: if 100 users are simultaneously active, then they can simultaneously request 100 page views. With 34 sec, our server now has to deliver as many visits and page views as it delivered within 49 sec before. If we now have a visitor repeat that for an hour, we’ll end up with a user completing 3,600 sec / (49 sec per visit) = 73.5 visits per hour. All tests that are normally run at first, which is absolutely correct, are tests that want to identify or verify the good case. Has a duration starting with the first page view and ends with the last. Second way is you can count the number of rows in the v$session dynamic view. 4,081 concurrent visits produce 4 page views in 49 sec (visit duration) each, that is in 49 sec we have 16,324 page views, thus 333 page views per sec (see next paragraph). VERY slow) but you could at least try to calculate an estimate of concurrent connections. If the system delivers what it should, the test may expand in its width aka both the think times and the number of concurrent users go up. Hence the users which are running under a test plan; irrespective of the activities they are doing; are ‘Concurrent Users’. There is no methodical way. Even if you keep the think time for 4,081 users at a constant level, the traffic wouldn’t be as synchronous as you planned it to be in the beginning. How do we calculate number of concurrent users for a fresh eCommerce application which is not in production? With respect to our simulation period of 1 hour, we get a new session (begin of a visit) every two seconds on the server side – 3,600 sec / 1,800 visits as our visits are equally distributed. Japanese / 日本語 Vietnamese / Tiếng Việt. Steady Load: Runs a fixed number of users that wait for the server, for instance, when it has long response times. In the ideal case, that means you only need 4,081 users but when the server behaves unexpectedly, up to 10,000 users will be activated. However, if the users aren’t simultaneously active aka started a visit, they aren’t concurrent users anymore and then you don’t need to simulate them in the first place. Korean / 한국어 Then you focus on stability and a predictable way of “decline”. If there are problems on the server side, then the user number automatically increases to x + n (for example, to a total of 10,000 users). In either case, it’s impossible for a load test to cover all eventualities and be economical at the same time. Provided an equal distribution and an average visit duration of 49 sec, 300,000 users per hour that are often identified with visits (business-wise) in most cases, would result in the following: a user completes 3,600 / 49 sec visit duration = 73.5 visits per hour so that you end up with 300,000 / 73.5 = 4,081 concurrent visits aka real concurrent users at any given second. In the worst case, you can’t test at all now because each test run leads to a different result. Requested content may be HTML, CSS, Javascript as well as images, videos, Flash, or Silverlight applications – HTTP can deliver almost everything. That means you need to define target numbers you want to support, or measure what the server is currently able to deliver. We also use analytics. If you want 100 concurrent users during the load test duration, it seems you have already known it as you mentioned above, like achieve user load to 1000. Oh, and needless to say that 42 is always a good number of concurrent users… ;-). Only these three scenarios offer infinite possibilities of variation already. The users have to go through the following steps to completely cover the scenario: The first challenge is choosing the content for the single actions, that is should we always go for the same product, the same catalogue, should the number of items or the size of the cart vary, etc. There’s a myriad of ways you can go to explore a webshop. What happens now results in the following calculation: In the worst case, the duration of all visits is only 4 sec + 3 * 10 sec = 34 sec. 2007-04-03 2:00 132. So this means 2000 concurrent users are there on the website. We now have 25 concurrent users that produce the exact same traffic simulation as 2 users without a think time. Only by knowing the test cases and additional numbers such as visits and page views per time unit can you a) define a number of concurrent users and b) check each number by means of calculation against the other numbers. Why do different suppliers price software licenses in different ways? The profile is suitable for controlled measurements. Most of the time, we consider a scenario an isolated visit repeating the steps of the test case and thus using defined data (note that also random data is defined data). Let’s assume three scenarios: a visitor that is just looking (Browsing), a visitor that puts products into the cart (Add2Cart), and a visitor that checks out as a guest and wants their ordered items to be shipped to an address (Order). (total monthly users)/ (30 days a month * 15 hours a day * 4 {note, 60min/15min per user} = daily average concurrent user load. For example, if you run a load test with 10,000 virtual users, each making a request every 20 seconds (3 requests per minute), then you're making 30,000 requests … If you now run these two visits simultaneously and independently from one another, you end up with two concurrent users. When you have those two values you use this formula to calculate the number of concurrent users to use in your load test: concurrent_users = (peak_hourly_visits * average_session_duration) / 3600 Let’s start with a couple of key terms to help you understand what we’re talking about: A load test wants to reflect present load conditions or anticipated load conditions. Number of virtual users = 10 * 10 * 3600 / 600 = 600 Hence the above formula gives a user count of 600 users. 0 Likes Reply. A second execution of the test with all data and connections (cookies, HTTP-keep-alive, and browser cache) having been reset would result in another visit. While many customers understand the value of a load test as part of their holiday preparation, many might still have questions about specific parameters that factor into testing their websites.This blog post will discuss the concept of concurrent users as it applies to load testing. It used to be 40 seconds but today’s users are more experienced and user guidance has improved a lot so that they can navigate through a website much faster. Select “Audience” from the sidebar menu. On one hand, small businesses will overestimate the number of concurrent user licenses they should be purchasing because they do not know or understand the distinction between “concurrent users” and “named users.” Romanian / Română In this article, we will provide a list of the top 7 Wi-Fi access points supported by Tanaza to connect the largest possible number of concurrent users under heavy data traffic usage. Edwer Fang [MSFT] MSDN Subscriber Support in Forum If you have any feedback on our support, please contact msdnmg @ microsoft.com Please remember to mark the replies as answers if they help and unmark them if they provide no help. 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