Posts tagged cache
I have just completed my first ever presentation on the Expertezed.com network – http://www.expertezed.com/ , a reprise from my session on Oracle OpenWorld 2012. This presentation includes a number of slides regarding 12c features, based on the session and slides from Tom Kyte (Top 12 new features) and my notes from the excellent session CON8511 – Temporal Database Capabilities with the Latest Generation of Database Technology that I attended during the conference.
You can download the slides from this presentation here:Expertezed_OOW2012_TheVeryVeryLatestInDatabaseDevelopment.pptx .
Performance of Enterprise Java Applications is a requirement and usually a challenge. Business requirements on systems can be stiff, successful systems can easily be overloaded and complex application architectures can add a burden too. Improving performance by tuning the application after it has been built seldomly renders huge improvements. By taking a step back – or even two – and regarding the application and the performance from a distance, it becomes possible to really design and architect for performance according to the ISYITF-method: it is staring you in the face. Order of magnitude improvements are attainable through logical reasoning and careful application of multi-tier architecture principles and JEE platform facilities.
This is the abstract for the session Thinking Through Java Enterprise Performance that I will be presenting on Tuesday October 2nd at JavaOne 2012 (BOF 4712 4:30 PM – 5:15 PM – Parc 55 – Cyril Magnin I.
This article describes an architectural pattern, implemented in the Oracle SOA Suite 11g, that is somewhat similar to the Oracle Database 11g Function Result Cache. It introduces a SOA Composite Application in the role of Result Cache. In its most simple form, the result cache is initialized – loaded with values -, used by other SOA applications that need the cached values, refreshed/reset when required and terminated. Through this ‘result cache’ – frequently used and not-so-frequently changed values that are published by (possibly remote, expensive or slow-reacting) web services or adapter services can be made available to local consumers in a simple, cheap and fast manner. We achieve this using the fast native SCA binding used for invoking in-container services exposed by fellow composite applications (that’s for speed) and the BPEL correlation mechanism (that’s for finding the result cache in the first place).
What the actual value of this pattern and implementation are is not yet entirely clear to me. Your feedback is appreciated. What I do know is that this article is also a good demonstration of using correlation and of applying some of the XML manipulation techniques More >