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Next message Gregg Shenton  posted on Tuesday, June 25, 2013 - 03:23 pm

Why Attend:

Understand Data Distribution Service (DDS) and its Data Sharing abstraction
Learn about the benefits that Data Sharing provides over plain Messaging
Learn how much simpler it is to build distributed systems with DDS than with traditional messaging technologies


One of the main goals of a distributed system is to share data, where the kind of data depends on the application and may be a financial instrument, a radar track, or a pulse-oximeter, etc. Data is central to any distributed system and ideally the infrastructure used to craft distributed systems should provide first class citizen support for data sharing.

Data Distribution Service (DDS) provides ubiquitous data sharing as a first class concept, thus greatly facilitating the development of distributed systems. This webcast will introduce DDS and compare and contrast it with mainstream messaging technologies. The aim of this webcast is to prove that (1) DDS provides a very high level abstraction for building distributed systems, and (2) building distributed systems with DDS is simpler than with competing messaging technologies.

In essence this webcast will prove through side-by-side comparison that DDS is simpler and more powerful than traditional messaging technologies.

The webcast will last approximately one hour.

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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