Data had long been the important essence in every organisation no matter how big the size of the organisation is. It provides insights for you to better understand the market, helps in effective decision making as well as keeping your business up-to-date, enhance performance, improve customer service and much more. The number of data being generated today is overwhelming – roughly 2.5 quintillion bytes per day. Significantly as organisations seek to leverage the benefits of data analysis, they are likely to adopt cloud computing. Nevertheless, through IIoT (Industrial Internet of Things) cloud computing infrastructure alone is not enough hence organisation need fog computing and edge computing to deal with the increasing amount of data generated every day. What are the differences between fog computing and edge computing?
Cloud computing has become normalisation in the industry today, a transformation of the IT infrastructure by letting the delivery of service especially data storage and computing power to be available on-demand through the internet. The most significant advantage of cloud computing is that it allows stakeholders to access the services from anywhere whenever they need.
Fog computing and edge computing emerges to overcome issue brought by cloud computing where it can no longer be efficient in storing and processing massive amounts of data and providing quick respond. While both fog computing and edge computing are similar in term of objective – bringing intelligence and processing closer to the data sources, they are definitely two entities. The most significant differences between fog computing and edge computing is the location of intelligence and compute power. While fog computing has it at the local area network (LAN), edge computing embeds it in the devices.
Another important differences between fog computing and edge computing is their roles. Fog computing functions to filter important data from the abundance amount of data collected from the device and stores it in the cloud by only sending the filtered data whereas edge computing enable devices to provide faster responds through simultaneously processing of data received from the devices
In term of specification, fog computing is highly scalable, requires lower operational cost and involved higher power consumption compared to edge computing. While in term of data security, fog computing is lack of data privacy compared to edge computing which has lower probability in cyber attacks.
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