14 April 2008

Distracted yet determined

I visited the author's web site for Virtual Reality Technology Second Edition and downloaded the nine chapters of lecture notes. The 894 slides and 33 movies (~40 min) are informative. The X3D Graphics for Web Authors textbook has a narrower scope than the VR Technology text and the X3D Grahpics for Web Authors' web site has 572 lecture slides but hundreds of VRML/X3D files on the SAVAGE CD and the VRML 2.0 Sourcebook web pages for viewing and reuse.

The task before me is specifying detail requirements how to automate the ingestion of X3D scenes via email (for example) into a user's database application so the end user does not have to integrate the file into his/her X3D scene graph.

To architect the data traffic patterns for nHand software (database) development, a year-long study of 112 populations of 1,000 people (half male and female) each of a single age (i.e., 1,000 fetuses, 1K 1 yo, ..., 1K dead people for less than a year) equally distributed over the USA including tribal nations and US territories (e.g., zip codes or counties) is needed. Similiarly, a proporational sample of non-human legal entities (not governments but commercial corporations) need to be studied. And lastly, all government local, state, tribal and federal and the national government needs to be studied for one year from a data traffic perspective.

I'm reading an international bestseller The Dollar Crisis: Causes, Consequences, Cures by Richard Duncan and in Chapter 1, he explains the Balance of Payments figures in the International Finance Statistics he references. I see an analogy between countries monetary systems and the relationship between trading items amongst governments, corporations and citizens. There is a balance of traded items like there is a balance of paper money. Both are created and destroyed at will by humans. So what?!? I don't know the relevance yet.

So enterprises' IT infrastructure is sized based on data volume (stock) and transactions (flow), amongst other items. It would be interesting to know for a single year what the volume of financial transaction-based data flows between governments, corporations and citizens of the USA. Just as important for nHand software development is knowing three other perspectives of data flow and the complete listing is below.

Data volume generated in a year--creating, destroying, and trading items directly correlates to this rate

Data volume shared with others in a year--querying databases other than your own enterprise and proffering data from your enterprise to other enterprises directly correlates to this rate. this really is a push (items or objects) dynamic versus a pull dynamic.

Data volume queried in one year--searching your own database directly correlates to this rate. For example, you scroll through your entire medical history or diet history (i.e., yes, 3 meals/day for 10K days = 30K meals) once a month just because you can.

Data volume data volume planned--identifying traded items (tentative world) you want at specified times, which are either discarded or retained for planning.

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