Lecture: May 22, 2018

www.stanford.edu/class/ee392b


Intelligence at the Edge of the IIoT

Sastry Malladi, Foghorn

Bio

As CTO of FogHorn, Sastry is responsible for and oversees all technology and product development. Sastry is a results driven technology executive with deep technology and management experience of over two and half decades. His areas of expertise include developing, leading and architecting various highly scalable and distributed systems, in the areas of Big Data, SOA, Micro Services Architecture, Application Servers, Java/J2EE/Web Services middleware, and cloud Computing to name a few. Prior to joining FogHorn as CTO, Sastry was Chief Architect of StubHub, an eBay company where he led the technology architecture transformation and also spearheaded the Big Data initiatives and data driven decisions. Sastry was also a key technology executive at eBay that lead the technology re-platforming effort from its monolithic architecture to the distributed, and scalable service oriented architecture that it is today enabling the business growth. Prior to joining eBay, Sastry was co-founder and CTO of OpenGridSolutions, Founding member and Architect at SpikeSource, and an Architect at Oracle. Sastry has also worked at many other companies in his career early on. Sastry frequently speaks at many technology conferences, contributed to many standards and has several patents under his belt. He holds a Masters degree from I.I.T, Kharagpur, India.

Abstract

Fog computing is a framework that describes an approach to computing done closer to the device and at the edge of the network. Fog concepts have been well publicized in the recent past and is gaining real momentum especially in the Industrial IoT sector. This presentation explains how these fog concepts are applied to solve the real world use cases in Manufacturing, Transportation , Oil & Gas, Smart Cities/buildings verticals, using a leading edge Fog computing technology platform from FogHorn. We describe some basic constraints and challenges inherent to working in a fog environment followed by our approach to overcoming those challenges, illustrated using actual use cases in some of the verticals from above.

Key take-aways audience will gain from this presentation are

Lecture Notes

Presentation on the Fog processing in the IoT by Sastry Malladi. (pdf)