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Next message Gregg Shenton  posted on Tuesday, January 22, 2013 - 01:41 pm
Register at: http://www.prismtech.com/webcast-signup

Why Attend:

* Understand the key challenges associated with interoperability, extensibility and efficiency
* Learn how data-centricity can address the challenges associated with designing Interoperable, Extensible and Efficient System Architectures
* Master the key concepts behind data-centricity

Abstract:

Interoperability, extensibility and efficiency are increasingly required to enable and effectively operate Smart Energy Grids, Smart Cities, Exploration and Production Systems in the Oil and Gas industry, and international Air Traffic Control and Management Systems. Yet, these key architectural attributes are often an after-thought as opposed to axioms upon which the entire architecture is designed with the result that many systems are non-interoperable, hard to extend and inefficient.

This Webcast will (1) precisely define the meaning of interoperability, extensibility and efficiency, (2) propose metrics for their evaluation, and (3) explain how these important properties can be "designed in" system architectures. We will introduce data-centricity as the paradigm and architectural patterns that foster interoperability, extensibility and efficiency and will explain how existing standards such as the OMG DDS can be used to implement data-centric architectures.

Webcast Presenter:

Angelo Corsaro, Ph.D. is OpenSplice DDS Chief Technology Officer (CTO) at PrismTech. As CTO, Angelo directs the technology strategy, planning, evolution, and evangelism. Angelo leads the strategic standardization at the Object Management Group (OMG), where he co-chairs the Data Distribution Service (DDS) Special Interest Group. Angelo is a widely known and cited expert in the field of real-time and distributed systems, middleware, and software patterns, has authored several international standards and enjoys over 10+ years of experience in technology management and design of high performance mission- and business-critical distributed systems. Angelo received a Ph.D. and a M.S. in Computer Science from the Washington University in St. Louis, and a Laurea Magna cum Laude in Computer Engineering from the University of Catania, Italy.
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