Sunday, May 29, 2011

Solid State/Flash and Optical Storage Technologies

The Solid State Disk Single Level Caching and the Future of Database Technology
The implementation of faster more resilient database architectures on the basis of flash drives using Single-Level Caching (SLC) is key to the engineering of new databases technologies. At the present time, database languages like SQL (Oracle, SQL Server, DB2) and QUEL (Ingres) can analyze, query, mine, dredge, and project and forecast based on (the behavior) of data, i.e., information that is static or persistent by nature, even in the event when it only takes a few seconds or a fraction of a second. SLC caching will at some point to track the more dynamic behavior of some data, e.g., the brownian motion of particles in some kind of physics chaos, such as the agitation of some fluid, or the movement of electrones and other subatomic particles; the real-time measurement of heartbeats and other vitals signs could be further measure with a more consistent level of granularity. However, the most important contribution of SLC, which currently provides the best performance among Solid State Drive technologies, is to provide the possibility to interconnect to active or dynamic live automata in general, that can mimic the exact behavior of the brownian motion, vital measurements, stock market behavioral simulators and other live simulation scenarios. Because of this, I believe that iSCSI technology will complete the dominance of the market as they can provide better interaction with “live dynamic data” store in the newly flash storage technology in interaction with other small computer interfaces and devices. Multipathing in conjunction with Oracle technologies like Automatic Storage Mangement (ASM) will provide further capability and support, such that Fiber Channel, FICON in general, can also provide support for such new technologies technologies. Perhaps, optical storage will add another component of managing “real-time live data”, and the LG Hybrid drive released by Hitachi in the last quarter of 2010 is probably the most recent development in that respect.

While there are some Oracle cartridges capable to interact with SQL, such as in Text, Multimedia, and spatial technology, or an XML-driven implementation such as xQuery, there will be a need to provide an API such that SQL can interact with the real-time nature of the dynamic behavior described for such “live data”, which could probably be store in real-time as a tuple describing the state and behavior of an live automata object-data with greater precision than today's object-relational models.

Friday, May 20, 2011

Thanks to Oracle Professionals at Collaborate11

I would like to break this blog protocol to thank all attendees at my presentations at Collaborate11, in particular, those attending my presentation on Engineering Oracle ASM Optimal Storage I/O Performance with Intelligent Data Placement on April 12, a presentation on Intelligent Storage for High-Performance Computing, for such a great feedback.  I look forward to see you again at the next great Oracle event.
Once more thank you!