In this article, we will discuss about how to calculate web-based application bandwidth and the requirements to do this. For the website application, it is very important to know every aspect to calculate the total bandwidth. To do this, we first have to actually know how many bandwidths are required for our web-based application. We will discuss about this in an elaborate manner.

**Calculating the Bandwidth of the Website**

Some hosting provider gives us the unlimited bandwidth option, but it is always a good idea to calculate how much the bandwidth is used. We have to understand that our website that can handle the traffic is received. If our website exceeds the allocated bandwidth, it becomes slow or inaccessible for some users which leads to a poor experience. There are three steps to calculate the bandwidth in a given website:

**Step 1:** Calculate the number of monthly visitors that our website gets.

**Step 2:** Calculate the average number of page views per viewer.

**Step 3:** Calculate our website’s average webpage size.

A website named “Semrush” is used to calculate the total traffic analysis and measure the bandwidth.

**Important Points for Calculating the Bandwidth for Web-Based Application**

Let’s remember these basic points:

- Number of visitors in a month
- Average page view per visitor
- Average page size

Let’s discuss these points.

What are monthly visitors? Monthly visitors are how many visitors arrive on our website to visit the page.

What is page view? Suppose a viewer can visit our web page and visit more pages on the same website. Here, the number of visitors is only one. But our number of page views is four.

What is the average page size? The average page size is the size of our website page. Let us suppose we can use four images on our website page. The size of each image is 200 kb. The other component’s size is 200 kb. So, the total website page size is 1 Mb. We have to calculate the average page size that is used in our website.

If we measure the bandwidth, the formula is:

**Bandwidth = monthly visitors* average age view/ visitors* average page size**

A problem can occur many times to calculate the bandwidth. Let us suppose a situation that occurs many times when we visit the website – it takes too much time to open the page. At that time, the website ran very slowly. At that point in time, they will be cut too much compared to a normal scenario. We have to calculate this situation on a different node. At that time, the bandwidth is:

**Bandwidth = monthly visitor * average page view / visitor * average page size * tolerance number (1.33)**

**Calculating the Bandwidth in a Different Situation**

Here, we calculate the bandwidth when the downloadable file is existing on any website. In this particular situation, the bandwidth is:

**Bandwidth = monthly visitor * average page view / visitor * average page size + (daily file download * average file size) * 31**

Here, the calculation process is a little bit different compared to a normal situation. Let us suppose the daily downloadable file is 5 and the average file size is 2 mb. Then, we have to multiply the downloadable file and the average file size. In this case, the result is 10 MB. Now, we convert the daily file size into a monthly file size by multiplying the daily file size by 31.

**Real-Time Experience for Calculating the Network Bandwidth**

Let us suppose we have an MJPEG image:

Image size = 120kb frame

Frame rate = 6 frames / s (fps)

120 kb * 6 = 720 kbps

1 mb = 1024 kb

1 kb = 1024 Byte

720 kbps * 1024 kb/b = 737280 bit/s

1 byte = 8 bit

7337280 byte * 8 bit/byte = 5898240 bit

1 Mbit = 1000 Kbit

1 Kbit = 1000 bit

5898240 bit/s / 1000 bit/kbit = 5898 kbit/s

5898 kbit/s / 1000 kbit/mbit = 5.9 mbit/s

**MPEG4/H.264**

Bandwidth = 400 kbit/s

1 mbit = 1000 kbit

400 kbit/s / 1000 = 0.4 mbit/s

**Conclusion**

Calculating the bandwidth is a very difficult procedure as we discussed in this article. But it is a must to know how many bits our website consumes for bandwidth to know about the bandwidth data and its traffic analysis in detail.