What is the 95th percentile, and why is it useful in measuring bandwidth?

The 95th percentile is the smallest number that is greater than 95% of the numbers in a given set. The reason this statistic is so useful in measuring data throughput is that is gives a very accurate picture of the cost of the bandwidth. Here’s an example. Suppose an ISP sells you a T1 line, but you’re only using it to access the web. Even though you might frequently download very large files (filling the pipe) your cost to the ISP is negligible, because your usage is intermittent. A single T3 connection to the backbone could easily support hundreds of such downstream customers, and never become saturated. As another example, suppose you are hosting a very busy web site that half-way fills your T1 for several hours every day. This type of bandwidth is more expensive, because your ISP can’t oversell their connection to the backbone as effectively. The important thing to realize is that it doesn’t cost your ISP anything to sell you a pipe of any particular size – it is the sustained rate of data transfer that costs them money. The sum of the 95th percentile usage of all of an ISP’s customers predicts the peak amount of backbone traffic that the ISP will incur (in a given direction).

Here are some examples. ISPs must charge for bandwidth by one of three means:

  1. Sell a flat rate, possibly bandwidth limited connection, and try to sell to customers whose usage patterns are not so intense. Nearly all DSL providers do this. The customers like it because they don’t have to worry about how much bandwidth they use, and ISPs like it because it simplifies billing, and they make more money as long as they have plenty of low-usage customers. The problem, particularly if the ISP is selling very fast connections, is that the ISP can become overwhelmed by even a small number of high-usage customers. Even residential customers can be such high-usage clients, thanks to recently popular services such as peer-to-peer file sharing.
  2. Sell a fast connection (eg 100Mbit Ethernet, which is inexpensive) and charge for the volume of data transfer – eg number of Gigabytes per month. This model works great for web sites, which almost always generate traffic in a predictable bell curve. However, it severely penalizes customers who use bandwidth intermittently. For example, suppose a customer runs an automated off-site backup every night. This brief usage spurt costs the ISP almost nothing. Although the recurring sustained data rate is low, the customer gets charged for a huge amount of bandwidth.
  3. Sell a fast connection and bill by 95th percentile. By now this should make sense – it’s a fair system where everybody pays for what they get. The advantage to the customer is that they get the performance of a high-speed connection, while paying only for their actual usage. ISPs like it because they don’t have to worry about high-usage customers upsetting their overselling ratios.

Irrespective of billing concerns, the 95th percentile is a very interesting and useful figure. Bottom line is it tells you how much of your connection you’re really using (and really need).

At Spydernet, we use the 95th percentile method of billing for all dedicated and colo servers. This is the most accurate and by far the fairest way to calculate bandwidth for our customers.

The formula used to calculate is as follows:

First take the 95th percentile figure from the graph for your server. For this example we will use 300kbps.

300kbps /8 = 37.5 KBps (Kilobytes per second)
37.5 KBps * 60 seconds/minute = 2.250 MB/minute
2.250 MBps * 60 minutes/hour = 135 MB/hour
135 MB/hour * 24 hours/day = 3.24 GB/day
3.24 GB/day * 30 days/month =97.20 GB/month

Your account would be billed for the difference between what the plan you chose allowed and the 97 Gig of transfer. Example:

If your plan allows you 50gig of transfer your account would be billed for the additional 47 gig of transfer.


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