The Most Important Scatterplot Since Hubble?

In 1929, the astronomer Edwin Hubble published the following scatterplot based on his most recent astronomical measurements.

Figure 1. Edwin Hubble's original scatterplot

It shows the recession velocity of the "stars" (in km/s) on the y-axis and their corresponding distance (in Megaparsecs) on the x-axis. A Megaparsec is about 3.25 million light-years. This scatterplot is important for several reasons:

Applying the USL Model to Multivalued Data

A reader was having trouble applying the USL model to his data and asked me to take a look at it. I can't discuss his data because it's private, but I can show you what I did using some simulated data that has the same properties. The data was collected off a production system not a controlled load-test platform, and this brought to the surface two aspects of applying the USL which I had not faced previously:

SOA Scalability and Steady-State

Guerrilla alumnus Peter Lauterbach just brought to my attention an article in SOA World entitled "Load Testing Web Services". I have to commend these authors for performing their SOA load tests in steady state. Elsewhere, I've discussed how wrong things can go when you don't adhere to this procedure. In their online article, these authors show the response time (R) as a time-series plot, more or less as it would appear in a measurement tool like say, LoadRunner. Although they don't show it, the throughput measurements would also look similar when plotted as a function of time (t).