Palo Alto, a city in California, is currently investing in a IoT project with the usage of edge computing. The city is presently creating a program where a parking space sensor would notify drivers about the availability of parking spaces. This smart parking technology will reduce the air pollution and the traffic congestion due to the better management of the available spaces.Likewise, AT&T, a telecommunications company, is in the process of using edge computing to create new 5G services applications of a lowered, single-digit millisecond latency and faster speed. AT&T has recently launched an edge computing test zone which allows them to test low-latency networks to enhance user experiences of virtual and augmented reality, self-driving cars and drones. It will further help with the transformation of the autonomous cars. With edge computing, the cars will be able to process and recognize patterns within the data saved by the sensors. The saved data will also be closed to the vehicles which will decrease the time to make a decision.
Summary:
The new shift in Internet of Things (IoT) is moving computing back to the usage of local networks and intelligent devices through edge computing. The analysis of the collected data near its source is a profound shift for machine learning. Due to the proximity to its source, the benefit enabled for its users is the minimization of latency. The data doesn’t have to be sent and analyzed at the cloud; thereby decreasing the latency which further increases the decision-making. It also reduces the cost of transferring data over a network and managing expensive centralized servers. Any data these days is extremely vital and valuable because data-driven organizations are forging ahead quickly. It further supports these organizations by providing them detected patterns and insights. Even though edge computing is still developing, now is the right time to dive into edge computing and access its benefits.
