The Huge Data Sprawl of IoT Opens Up New Opportunities

A massive data tsunami is coming, and the major thanks go to the rising IoT sensors numbers and endpoints which have been emerging at the edge. The main issue is that there is not sufficient infrastructure to analyze and process all the massive data, as per James Thomason and John Cowan, EDJX co-founders. It is an edge computing company. Thomason said he calculated that it might take 10 trillion dollars of additional spending for improving IT infrastructure in 10 years time span so that the needs of processing overflowing data will be at the edge.

He also said that no one in the current times has such an amount. However, this does not mean that no solution is present. Therefore, Thomason and Cowan believe immense opportunities are there for enterprises that operate in the space of edge computing. These opportunities will help organizations to harness massive amounts of internet of things data that they are constantly creating. Cowan, the EDJX CEO, said that it is quite difficult for most companies to understand and grasp. It is an abstract concept, but there is a scarcity of infrastructure to process the data volume that is occurring in the sensors.

As there is no way for applying algorithmic processing into the sensors’ data, most of the data get abandoned. So, it becomes a big problem and a big opportunity to solve. Thomason stated that the largest service providers of cloud around the world could not even reduce the problem single-handedly due to the huge amount of data created overshadowing all their footprint. This is the reason for him to believe that the best economical approach to handle the issue of huge data sprawl of IoT is to go for federated infrastructure.

For Thomason and Cowan, the federated infrastructure refers to tapping into the data centers networks and systems that are underutilized. In addition, new compute nodes of the edge are required. It also means utilizing the platform of serverless computing that enables applications to execute on those networks wherever and whenever data requires processing. Both Thomason and Cowan are talking about the EdjOS, EDJX’s operating system.

Thomason said the key difference in architecture is that everything is event-driven, freeing developers from a big burden of learning and understanding the things happening inside the infrastructure. People want infrastructure that is smart enough for viewing an event as well as provide them the needed provision at the most software level. It means that a server edge will automatically understand the things to do when a video data stream is coming from the camera, which is different from the traditional way.

EDJX is implementing these ideas and making them come into reality with a new project titled PINN pilot. It is promoted for being the very first open standard, and it brings together the connectivity of 5G, radar, edge computing, enhanced GPS, intelligent transportation, LIDAR systems. The vision is to deck out with PINN to make edge computing and IoT sensors ubiquitous and to allow data processing very close to the system’s source for several new applications.

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