Testing Smart City Architecture | BW | Businessworld

In an era where everyone is talking about Internet-of-things and its impact on smart cities, there is not a lot of talk about the kind of information technology architecture that a city needs. Today, between the sales cycles of large technology companies and system integrator companies, the real topic gets diverted from public opinion. The real question to ask is, what is a going to accomplish and is the technology going to help citizens’ access information in real time. Gartner predicts that there will be 50 billion devices in the globe by 2020. Of these devices, 10 per cent  will be in India. The government has already announced smart phone enabled payment bank solutions. Smart City solution providers like eLsys, MobStac, Cooey, GoQii, GetActive and WebNMS are combining the best of Bluetooth and Wifi technology to enable citizens to consume services. But all their solutions have to be tested on a framework. This testing and simulation framework for a smart city is being built by Automatski.


The company has been self-funded and has spent close to $50,000 to build the business. Currently they are piloting their platform with a couple of technology companies. “We believe the smart cities story cannot work on the current knowledge thrown out in the media. It is far more complex an interaction of different machines which needs to be tested by any city or corporate,” says Aditya Yadav, founder of Automatski.


Automatski has been working on security, privacy and large scale massive IoT systems of systems integration problems like Smart Cities, Smart Healthcare, Smart Cars, Smart Energy/Grids, IIoT etc. On that front we are developing a SmartCity Simulator for a start which can do domain simulations of a smart city with multiple layers of unidirected graphs of water, energy, sewage, traffic flows etc. with 10+ billion sensors, throughputs of 1billion ops on 500-1000 node server clusters. With the smart city simulator you can design Smart City Platforms and Solutions, design, develop and test machine learning, data science, decision sciences, algorithms and modules.


“There are a lot of IoT startups across the world. The trend is here to stay. But startups should figure out a business model. For the moment many have not,” says Sheng Fu, founder of Cheetah Mobile.


Automatski’s simulator enables testing a billion devices. But will it be able to survive the hype cycle surrounding IoT and governments embrace of technology for citizens?