Is Fog Computing the only salvation for IoT applications and solutions?

To be in a fog is not considered a good thing, but, not anymore, since’ fog’, as in fog computing, is possibly the best step towards the path of the Internet of Things (IoT).

Analysts are of the notion that fog computing that was valued at $22million in 2017, is the next big thing for IoT. IoT interconnectivity, real-time computing, machine-to-machine communication, and the growing demand for connected devices further drive fog’s market growth to exponential heights and make it a sure thing.

Add to it, business influenced by beefing up of technology are switching to fog computing for a better decision-making process, increased efficiency, and tapered off operating costs.

Here is a closer look at what really fog computing actually is, how it differs from traditional cloud computing and its major role in the promising future of IoT technology.

How Fog computing differs from Traditional computing

IoT is typically used to connect a plethora of devices, namely mobile phones, smart TVs, smart cars, wearables, and to everyone’s wonder ‘smart cities’ too. Over time, the number of devices collecting data and the amount of data process have grown at a jet speed.

Traditional cloud computing provides adequate space to compute such large volumes of data from remote-located servers.

However, uploading huge volumes of data from remote locations for analysis purpose and dishing out the results to the original location is a time-consuming process that can get in the way of the process, and rapid response will not pop-up anytime soon.

This is where Fog computing comes into play, by using distributed computing resources, present near to local devices, to take care of process that asks for rapid processing in delegated time, instead of placing the bets on remote servers at a central location.

Companies are shifting to Fog computing. Why?

Seen as the possible tool to fill the technology gaps, there are certain emergencies of IoT applications, where real-time response is of utmost significance.

An example of such a real-time response is medical wearables that are preferred by healthcare professionals to keep a track of patient’s conditions, manage staff, and refer treatments and medicines.

Vehicle communication, like cars using online data to navigate wisely and move accurately to avoid fatal accidents, is also an instance where fog computing is of utmost importance.

If that does not suffice you, here is a list of benefits fog computing can offer for your line of business.

  • Reduce latency– Every second matter, especially in case of an emergency. Analyzing data in close proximity to the device can cut down latency to several notches and can contribute significantly to avert disasters.
  • Takes care of security concerns– IoT data needs to be protected at all costs, in transit and at rest. Fog computing protects your IoT data more securely than anyone, in a bid to provide you with the opportunity to analyze sensitive data locally rather than delegating it to the cloud for analysis.
  • Cuts down network bandwidth usage– Modern IoT devices consume gigantic volumes of data, making data transport impossible. This problem has an easy and effective solution-Fog computing.

To conclude with

Time is changing at a speed beyond imagination, and so is technology. Fog computing will play a pivotal role in technological evolution, filling up the technological gaps and making business and life easier than ever.

For all those, who are not so good with technological jargons and need assistance with its different aspect like Fog computing, contact SPIN to quench your technological inquisitiveness.

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