The world is now turning around Internet of Things (IoT). The connected devices and apps are mushrooming in an unprecedented and never before way. We have loads of innovative gadgets coming up every day adding new and valuable way to interact with our surroundings. While people remain connected to the web round the clock their surroundings are also getting smarter offering connectivity and connected solutions.
But still, this connected environment comprising gadgets and devices is far from perfect. The vast majority of of IOT devices mainly depend on Cloud computing to store data and access them as they mostly come with poor storage capacity. But the bandwidth constraints and inconsistent data speed are two major problems contributing to the implementation of Internet of Things.
Fog computing is also referred as “edge computing,” as the data thanks to this new ornate of computing is accessible locally on the edges if a network allowing data access locally rather than through a centralised storage. While fog computing also depends on the cloud storage it can make the data accessible locally on the network edge. This solves the problem concerning bandwidth and data speed in an IOT environment.
Fog computing basically came to existence just to address a few concerns. First of all, thanks to the availability of data on the edge of a network the real time response following an action is possible. When controlling a device through another you do not suffer from the delay caused by the slow network or bandwidth overload. This improves efficiency of IOT and connected devices to a great extent. Secondly, just because of using lower bandwidth it lowers the cost of data transfer significantly when working with connected devices.
Key Characteristics Of Fog Computing That Go Perfect For IOT
Low latency and quick response is one of the crucial requirements of IOT devices and connected environment. Some of the key characteristics of Fog computing that comply perfectly with IOT are mentioned below.
- Fog computing is perfect for all apps for considerably low and predictable latency.
- It is also perfect for apps that are distributed across several geographical locations.
- It is also perfect for apps requiring quickest response time.
- Fog computing is perfect for large scale distributed control systems including smart traffic light systems, smart grid, connected rail.
- Fog computing is highly location aware and works great with apps having critical location specific requirements.
The characteristics of Fog computing mentioned above make it the perfect solution for a whole range of IOT apps and services where low latency, real time response and heterogeneous distribution is a requirement. Some of the apps and IOT environments where Fog computing can be ideal include Connected Vehicle, Wireless Sensors, Smart Grid, Smart Cities, etc.
The promise of IoT lies in bringing together the advantage of cloud computing to the benefit of device users in an increasingly connected environment. Naturally a connectivity solution like Fog computing is obvious for IOT environment.