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Next message Gregg Shenton  posted on Tuesday, September 09, 2014 - 12:13 pm
Register at: http://www.prismtech.com/webcast-signup

Why Attend:

* Learn about the different messaging and data sharing standards currently proposed for the Internet of Things
* Understand the key features and applicability of each protocol
* Learn about relative applicability, performance and efficiency of the different standards

Abstract:

Different messaging and data sharing standards, such as AMQP, CoAP, DDS, MQTT, and REST have been proposed as candidates for addressing the data sharing challenges of the Internet of Things (IoT) and the Industrial Internet (I2).

In technical forums and social media there is no lack of passionate discussions that praise the merits of one standard over the other. Yet, to date, there is little or perhaps no analysis that looks at the details of the different standards and how they perform in an in depth, qualitative, analytic and empirical evaluation.

This webcast, will (1) introduce the key standards that are being proposed for the Internet of Things and the Industrial Internet, such as AMQP, CoAP, DDS, MQTT and REST, (2) present a qualitative comparison that highlights the different features provided by the various standards, (3) present an analytic comparison looking at the efficiency and scalability of the various protocols and (4) present the results of an empirical evaluation comparing the actual performances of the various standards.

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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