The growth of IOT has been stupendous and literally mind-blowing over the recent years. But this growth and diversity are also contributing to the confusion in regard to finding a direction. There are many problems and challenges creeping up. First of all, volumes of data are adding to the bandwidth challenge. It is increasingly becoming important for IOT systems to access data sources locally to ensure a glitch-free performance.
We all have seen the ephemeral rise of Fog computing as a new and more effective alternative to Cloud computing. Well, Fog computing as we all know can really make data available close to the device while maintaining all the advances of non-local data storage. Naturally, Fog computing became an inseparable technology for the modern connected devices in IOT environment. Question is what are the typical IOT apps that need Fog Computing most? Before answering this question let us learn more about various aspects related to this.
OpenFog Consortium defines the technology of Fog Computing for the global audience. OpenFog Consortium was founded by leading tech giants of the planet including Microsoft, ARM, Cisco, Dell, Intel and Princeton University. The consortium was founded as the open ecosystem of leading companies and innovators to take ahead the latest networking technology.
Fog Computing which is also called as Edge computing allows accessing data from the edge of a network or from cloud depending on the necessity. As the data volume increases and bandwidth challenge become bigger to supply data Cloud-based IOT design helps to access resources from locally from the edge of a network without creating bandwidth load. The main inspiration behind fog computing is to provide a seamless end to end data access and connectivity that would result in great user experience for a majority of device users across home and workplace IOT environments.
The Best Applications for Fog Computing
What are the typical mobile applications and use cases for fog computing? Well, the ideal case is where the intelligence is required from the edge of devices making the role of ultra-low latency critical. Fog computing also can play a critical role in areas where there is no regular connection or in cases where it is impractical to stream data between cloud and device again and again. From applications and use cases known for their frequent data streaming and transmission are ideal for fog computing. Some of the key sectors where fog computing can play a crucial role include surveillance, smart cities, transportation, smart workplace, agriculture, wind energy, etc. Let us have a look at few of these examples.
Smart Cities and Fog Computing
A network comprising fog nodes across a city can help data processing faster for IOT led apps corresponding to traffic congestion, energy utilization, public safety, sanitation, municipal services, etc.
Fog Computing for Smart Buildings
Smart buildings embrace automation to make things work smoothly allowing more comfort, ease, and security. Without localized access to data such local automation cannot run smoothly and without glitches. Fog computing allows data access on the edges of the network can just help to achieve smooth automation and smart performance.
Security Risks and Fog Computing
As fog computing relies more on local hardware-based data access, the streaming data has less risk or vulnerability of being intercepted or being attacked.