Club Cloud with Edge Computing for Better Data Processing
Cloud computing has been the precursor to every innovation that inundates the technology space today. However, with the advent of IoT, which accounted for humongous data influx, data processing through cloud has become pretty cumbersome. In the wake of the mobile revolution, edge computing has emerged as the perfect ally for cloud technologies to mitigate the data processing and analysis challenges. The edge computing architecture decentralizes a huge amount of data processing requirements from cloud service providers, allowing speedy data analysis alongside reducing the load placed on internet network to transmit a large volume of data. From manufacturing to transport, energy to utility, every industry, currently is reaping benefits of smart devices and sensors. And edge computing can empower all such organizations to better analyze, manage, and process the crucial data that the connected devices generate.
Even though most data analysis and processing jobs are entrusted on edge computing, cloud technology still is at the forefront of every IoT and smart device innovation. In fact, an amalgamation of cloud and edge computing will go a long way in satiating the enormous processing needs of sensors and other related devices. For instance, the data generated by Waymo (Google’s driverless car), which approximately is 1 GB per second, can be harnessed through edge computing and analyzed to provide overarching insights about driving and road safety. This, of course, would be orchestrated by a wide range of sensors, corroborated by cloud computing.
While IoT becomes all pervasive, the need for edge computing is bound to skyrocket. This unique technology, when combined with cloud technology will not only prove fructuous but also provide a competitive edge to all the IoT efforts.