Welcome to the AB5K web site. Most of the information on
the site is about Ham Radio.
I live on a 100 acre ranch near the town of Holland in central Texas. The station
currently has 12 towers that range in heights up to 200 feet. Eight more towers are
currently in process.
I develop software for a living. I have been working with Microsoft .NET/C# since 2000.
I also develop software for ham radio.
One of my popular programs is a DX-Cluster application called
AR-Cluster. The first version
of AR-Cluster was released back in 1998. Hundreds of AR-Cluster
applications are running around the world.
The key to selecting a cluster is performance. With the
addition of CW Skimmer spots and the Reverse Beacon Network the demands on the
DX-Cluster system have increased by orders of magnitude. Existing
cluster software has demonstrated scalability issues and software authors have
reduced features and/or imposed spot filters just so they can keep up.
The approach in AR-Cluster version 6 was to build a multi-threaded application
from ground up that was optimized for the high spot volumes. Users
can get 100% of the raw spotting data or apply their own filters as needed.
like "By far the fastest cluster package" with
no supporting metrics are touted but what DXers and contesters really need to
know is can the cluster application keep up with present day loads and scale to
future spot volumes without imposed filtering?
How fast is it? You do the math, in AR-Cluster, performance metrics are calculated in real time and logged
in the app log. Here is a sample app log with execution timing, in seconds. Ex: [0.00081]].
It's extremely fast.
AR-Cluster has been tested at spot rates of over one million spots per hour and a CPU
utilization of less than 20 percent.
AR-Cluster was chosen as a key cluster technology to run on the Reverse Beacon
Network. Additionally, AR-Cluster has also been used as the spot aggregator at the
K3LR contest station for several years.
On the user side, there is a brand new client application called AR-Cluster Client.
AR-Cluster Client demo