Introducing Vortex Lite Webcast

Date: 27 January 2015

Why Attend:

  • Learn about what makes Vortex Lite the right DDS implementation for resource constrained embedded IoT devices and environments,
  • Understand how some of the features provided by Lite simplify application development and ease porting across computing / networking stacks,
  • Learn about Lite’s performance characteristics.

Abstract:

Vortex Lite brings Data Distribution Service (DDS) connectivity to resource constrained embedded systems. As a first class citizen of the Vortex platform it can be used for peer-to-peer fog / edge computing between embedded devices as well as gateways and for very efficient device to cloud data sharing. Vortex Lite has been designed with efficiency and portability in mind. This makes it the fastest DDS implementation on the market on enterprise grade hardware and the most lightweight on embedded targets. Likewise its architecture makes it highly portable across computing / networking stacks.

This webcast will introduce Vortex Lite, provide an overview of its architecture, its design choices as well as highlighting its performance characteristics. The webcast will also explain the role played by Lite within the Vortex family and how it can be used for both device-to-device (fog / edge computing) as well as device-to-cloud data sharing.

The webcast will last approximately one hour.

Webcast Presenter:

Angelo Corsaro, Ph.D. is Chief Technology Officer (CTO) at PrismTech where he 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 and serves on the Architecture Board. 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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