Vortex Fog: A key for Distributed Internet of Things Computing

By CIOReview | Tuesday, February 23, 2016

Boston, MA: PrismTech, a global software platforms and tools provider of the Internet of Things, Industrial Internet and advanced wireless communications has released Vortex 2.0., a major update of their Vortex Intelligent Data Sharing Platform. This standard-based Internet of Things (IoT) data sharing solution is able to provide secure interest-based routing of real-time information between the multicast-enabled edge networks and unicast networks and endpoints, including Vortex Cloud (Fog-Cloud).  This solution is trusted to enable distributed IoT Computing between Device, Edge and Cloud.

Vortex 2.0 or Vortex Fog adds new capabilities to the existing suite. It includes universal data sharing across Device, Fog and Cloud Computing environments, ease of use, and secure connectivity.  "We believe that Vortex 2.0 addresses the real-time data sharing requirements of IoT systems better than any other platform available," said Dr. Angelo Corsaro, CTO, PrismTech.

The update of Vortex Intelligent Data Sharing Platform includes Boundary Security to address the fundamental requirement for helping to secure the next generation of federated IoT systems. It includes feature of both Vortex Cloud and Vortex Fog that enables secure communications at the boundary between subsystems. "New features such as Vortex Fog will help address the bandwidth problems of IoT systems by helping remove the need to ship all data to the Cloud when it makes more sense to process the data much closer to the Things at the network's edge." Its feature is extended with Google Protocol Buffers (GPB) to support data-models in a language and platform-neutral way. GPB data type extensibility helps to enable IoT system evolution and future proofing.

Vortex is based on the Object Management Group’s (OMG) Data Distribution Service (DDS), best suited for mission-critical distributed and IoT applications to provide an efficient solution for Internet scale, real-time data sharing.  The ability to reliably and securely deliver high volumes of data with stringent end-to-end qualities-of-service (QoS) makes it suitable for delivering the right information to the right place at the right time.