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Design Decomposition Blog
Iridium Satellite Collision in Space
You might have seen the recent news reports about the collision between U.S. and Russian communication satellites. The U.S. satellite was one of the Iridium satellites. What wasn’t reported and you probably don’t know is that an object database management system (ODBMS) is an important part of the Iridium system. Even though ODBMSs are a [...]
February 13, 2009
(The Acronym) SOA is (Perhaps) Dead (at Some Companies); Long Live Services
I am now also posting on the Cutter Blog. My initial posting is (The Acronym) SOA is (Perhaps) Dead (at Some Companies); Long Live Services. It is a response to Anne Thomas Manes’ SOA is Dead; Long Live Services on her blog at the Burton Group.
January 9, 2009
Atomicity
The typical definition of an atomic task or process is one that cannot be decomposed further. This is vague and subject to interpretation. The Decomposition Matrix on this site uses a specific definition: A task (for business process diagrams) or a process (for data flow diagrams) is atomic if every input relates to every output [...]
December 3, 2008
Well-Formed Business Process Diagrams
My last posting referenced the criteria for a well-formed business process diagram mentioned in Business Process Driven SOA using BPMN and BPEL by Matjaz B. Juric and Kapil Pant. I am going to expand on their criteria to create a more comprehensive definition of a well-formed business process diagram. To start, here are three criteria from [...]
November 18, 2008
Recent Business Process Modeling Books
I recently received two new books on business process modeling. Both books looked interesting because they had great titles. As it turns out, one book is great and the other not so good. The not so good book is Business Process Driven SOA using BPMN and BPEL by Matjaz B. Juric and Kapil Pant. There are [...]
October 9, 2008
The Design Decomposition Blog
is written by Doug Barry.

A benchmark, conducted by IBM's High Volume Websites (HVWB) Lab, compared the performance of IBM's WebSphere Application Server and DB2 with and without Versant's enJin product¹. The benchmark is a stock trading application with simple and complex transactions.

Versant no longer markets enJin. Nevertheless, this benchmark is still valid and illustrates the performance gain when using an object database in the middle tier. Versant called its enJin product a "transaction accelerator." It worked with Java application servers in much the same way as described in the other architectures that you can find in the related content below. The enJin product was built upon Versant's object database management system.

The performance gains possible with an object database in the middle tier are illustrated in the following graphs. They compare performance with and without enJin in the J2EE architecture. In the "baseline" architecture referred to in these graphs, WebSphere is used with DB2. The same architecture was then used with enJin added to the middle tier between WebSphere and DB2.

The first graph shows response times for simple transactions. These are new trades in the stock trading benchmark. At 10 test-harness threads, the baseline configuration response time was 900 milliseconds compared to 160 milliseconds for the configurations with enJin.

Benchmark results on simple transactions

The second graph shows response times for more complex transactions. These are new portfolio transactions in the stock trading benchmark. At 10 test-harness threads, the baseline configuration response time was 3,730 milliseconds compared to 600 milliseconds for the configurations with enJin.

Benchmark results on complex transactions

So, it is pretty easy to make the case that with this accelerator in the middle tier, you can either have higher capacity with the same hardware or you can use less expensive hardware. The white paper gives an example of such a calculation.

Note: Similar results can be achieved using an XML database in the middle tier. An architecture along with performance charts similar to the two shown above can be found in Chapter 5, Solve Performance Problems with FastSOA Patterns, in FastSOA by Frank Cohen.

¹ The information on this benchmark is used with permission from Versant Corporation. The full benchmark paper is available here.

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