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
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
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
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 [...]
November 18, 2008
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 [...]
October 9, 2008
The Design Decomposition Blog is written by Doug Barry.
Caching is the retention of data, usually in the application, to
minimize network traffic flow and/or disk access. With transparent persistence,
caching is often set up as part of the application work space. With this cache,
there is no need for the application to explicitly move objects from disk.
They move from disk storage automatically into program memory. This is either as
a result of a query or from traversing the graph structure. For an animation
that demonstrates this caching, see transparent
persistence (new window).
Caching for an ODBMS is similar in many respects as is caching for
object-relational mapping. The exception is that that caching for
object-relational mapping can have problems with cache
synchronization (new window). This
problem not occur with ODBMSs because the cache is tightly integrated with the
ODBMS server.
ODBMSs provide the lowest cost for development and best performance
combination when using objects because they store objects on disk and have the
transparent program integration with object programming languages. Performance
is enhanced by storing objects directly on disk which eliminates impedance
mismatch (new window). Development costs
are reduced because there is no need to program the caching for the application
programs and there is only one
model to develop (new window).
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