Practicability of embarrassingly parallel computations for enormous miniature workloads over massive underutilized IoT

The Internet of Things (IoT) will grow seamlessly with advancements in data and communication technologies leading to the deployment of trillions of end devices. Its application starts with a simple home automation to a very large scale industrial automation system. The trend is leading towards huge data generation requiring high processing power. In the near future, computing resources might not be sufficient for handling dynamic humongous data production. As the technology advances, microcontrollers or System-on-Chips (SoCs) used for IoT end devices are becoming cheaper and more powerful. Hence, there is a requirement of effectively making use of huge number of underutilized IoT of the future by allocating additional micro-tasks in parallel which would solve the upcoming needs of the technological trend.