Capacity Loading

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Web Load Testing And Its Benefits

The concept and practice of software load testing has been around for many years, but the exponential growth of the web has created a situation that has taken the magnitude and complexity of web load testing to a whole new level. Traditionally, systems that required web load testing existed in private LAN/WAN networks and were accessed at rather predictable times, patterns by a group of people who were well known. A Web site on the open Internet, on the other hand, is highly unpredictable with load patterns and widely heterogeneous and unpredictable group of users. In the extremely competitive world of the Internet, unacceptable Web site performance and availability because of excessive loads can cause serious harm to a company’s bottom line, market value and brand. Keeping these reasons in mind, keeping an eye on capacity and scalability of business and mission critical Web sites is extremely important and this needs to have a proper load testing system in order to acquire this knowledge. In case load testing is not done properly, the results are at best useless and, in the worst case, misleading, causing a company to either underestimate or overestimate a site’s capacity. This wrong result could cause unnecessary expenses with delays or potentially disastrous business decisions.

Scientific software load testing allows companies to collect realistic, useful and reliable data about a Web site’s capacity and scalability.

Lets introduce and explain some of the variables and metrics that are used to analyze and reproduce Web site loads. Partitioning these variables and metrics into the following categories will make thing more clear:

• Server-side variables and metrics:

• Basic variables

• Derived variables

• Client-side variables and metrics:

• Online behavior variables

• Client system variables

These basic server-side variables and metrics are:

• Total page views per week – Page view is a request of a single web page with all its objects

• Total hits per week – A hit is a request receieved by the server be it a file of any format

• Total user sessions per week – Defined as a visit by a unique user

• Average session duration – Its the amount of time the average user session lasts

• Average page size – This is the size of a page view including frames, images etc.

• Average hit size – Average size of a hit measured in kb

A basic log analyzer can fetch all these metrics from log files

Client Side variables and metrics :

Online behavior variables deal with behavioral differences between users. Some users read Web pages and navigate Web sites faster than others, this difference is called the User Interaction Speed. Interaction speed is very relevant ,in a given amount of time, a fast user is able to go through more Web pages than a slower user. This results in more requests and therefore a higher load, for the Web site under test.

Some of the key online behavior variables to consider for Web site load testing are:

• Interaction speed— a measure of how rapidly a user processes a Web page and navigation to another page.

• Latency tolerance— a measure of how long a user will wait for a Web page to load before taking some action (e.g. abandon the Web site or hit reload).

• Tenacity— a measure of how determined a user is to accomplish something on the Web site. If the task they want to accomplish is extremely important to them (e.g. sell a stock during a steep market correction), the user will adjust his or her tolerance accordingly and will endure waits longer than usual. Users may have low latency tolerance

• Familiarity—a measure of how well a user knows the Web site. It can be assumed that frequent visitors to a Web site know how to navigate it and where to go; they will process certain Web pages more rapidly than new users.

Client-System Variables

Online behavior variables deal with differences between humans; clientsystem variables deal with differences between the hardware, software and location of the client system.

Some of the key client-system variables to consider for Web site load testing are:

• Connection speed—how quickly the user can access the site. In terms of load and user experience. It’s important to know the percentage of users in each connection speed category and use that distribution in the scenarios.

• Location—in what geographic region is the user. A user’s geographic location affects a number of key variables that have a significant impact on load. The number of “hops” and the backbone speeds in the path between the Web site and the client system, for example, determines how fast the packets will travel and how many packets are dropped.

• Software/Hardware configuration—depending on the Web site, variables such as type of browser, browser plug-ins, type of OS, or CPU speed, may have a significant impact on load.

About the Author

Keynote Systems - Testing Web Application & Web Page Monitoring. Test precise behavior patterns from actual browsers and accurately predict performance problems under the most realistic conditions.

How much laundry can you fit in a front loading washer?

We are considering buying a stackable front loading washer and dryer. There is a price difference between the 3.6 and 4.0 capacity and we don't know how much space we need for our laundry. Does anyone know how many bath towels or pairs of jeans would fit in either of these? Does anyone have these appliances and how do you like them? Thanks.

It won't matter which one you choose. There isn't much difference between a 3.6 and 4.0 capacity. You might be able to add an extra towel or pair of jeans. Front loaders have a greater capacity to clean more clothes. You stuff them full and the clothes get clean. I think our front loader holds about 10-14 towels. It's a 3.6 capacity. I wouldn't get the Neptune stack-able set. My husband works in an appliance store and it is the most returned appliance. Also I have a friend who bought one and it has had 3 major repairs in the last 3 years. I like the Fisher & Paykel set.(I don't know if they sell a stack-able set). The dryer dries a full load in 15 min. It has a different way of catching the lint, and that somehow speeds up the drying time.

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