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Posts on the
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.

EJB accelerators exist primarily in the middle tier of a J2EE architecture. Their role is to accelerate the performance of storing data needed for Enterprise Java Beans (EJBs). By speeding up the performance of the data storage, the performance of EJBs are accelerated in general. There are four ways that this can be done. 

  1. The first way is with a transparent interface such as Java Data Objects (JDO) coupled with an object database. In this case, there is no need for a mapping layer because the Java object model is the same model used by the object database. See transparent persistence in object databases (new window). The lack of a mapping layer is show in this diagram.
    EJB accelerators with application servers
  2. The second way is with a transparent interface such as Java Data Objects (JDO) coupled with a relational database. In this case, there is a need for a mapping layer because the Java object model may not match the model used by the relational database. Nevertheless, the mapping can be moved to one location as described in JDO data conversion (new window). Also see transparent persistence in object-relational mapping (new window).   
  3. The third way is with a call-level interface such as JDBC coupled with a relational database. In this case, there is a need for a mapping layer because the Java object model may not match the model used by the relational database. The mapping would need to be done at the application level as described in JDBC data conversion (new window). Be sure to take a look at transparent persistence vs. JDBC call-level interface (new window). This outlines some disadvantages of using JDBC that you should consider when designing persistence for J2EE.
  4. The fourth way is with SQLJ and a relational database. This would be useful primarily if the relational database does not contain any existing data. This would make it possible to minimize the mapping described in SQLJ data conversion (new window). Also see SQLJ (new window) and mapping SQL and Java data types (new window).

Also, be sure to check out how EJB accelerators can be part of integrated J2EE architecture solutions (new window).

Using JDO, as shown in this diagram, will not require data conversion between the interface and the database. See EJB accelerator data conversion.

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