Part 1 - November 14, 2012 Part 2 - December 5, 2012
* Learn basic and advanced concepts in OpenSplice DDS programming * Learn about the recently finalized new C++ and Java API for DDS * Learn about functional programming with OpenSplice DDS * Understand QoS, Data Selectors and Concurrency * Learn about high-performance extensions such as OpenSplice Streams
OpenSplice DDS enables seamless, timely, scalable and dependable data sharing between distributed applications and network-connected devices. Its technical and operational benefits have propelled adoption across multiple industries, such as Defense and Aerospace, SCADA, Gaming, Cloud Computing, Automotive, etc.
If you want to learn about OpenSplice DDS or discover some of its advanced features, this webcast is for you!
In this two-part webcast series we will cover all the areas relevant to architecting and developing OpenSplice DDS systems. We will look into Quality of Service (QoS), data selector concurrency and scalability concerns.
We will present the brand-new, and recently finalized, C++ and Java APIs for DDS, including examples of how this can be used with C++11 features. We will show how, increasingly popular, functional languages such as Scala can be used to efficiently and elegantly exploit the massive hardware parallelism provided by modern multi-core processors.
Finally we will present some OpenSplice specific extensions for dealing with very high-volumes of data – meaning several millions of messages per seconds.
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.