The growth of IOT has been stupendous and literally mind blowing over the recent years. But this growth and diversity is also contributing to the confusion in regard to find a direction. There are many problems and challenges creeping up. First of all, volumes of data is adding to the bandwidth challenge. It is increasingly becoming important for the IOT systems to access data source 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 be knowledgeable a bit on various aspects related to this.
- OpenFog Consortium: OpenFog Consortium defines the technology of Fig 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 s 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 accessing resources from locally from the edge of a network without creating bandwidth load. The main inspiration behind fog computing is to provide seamless end to end data access and connectivity that would result in great user experience for majority of device users across home and workplace IOT environments.
- The Best Applications For Fog Computing?
What are the typical 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 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 utilisation, 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 localised access to data such local automation cannot run smoothly and without glitches. Fog computing allow data access on the edges of 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.
Author Bio – Kunjan Dalal is the pioneering business thinker and IT management expert with decade long experience across various business niches. Presently heading the Aurosys Inc as the founder he is a leading business strategist focused to create industry benchmarks and standards of excellence. He is a revered perfectionist in his field of expertise with several feats and industry accolades to his name.