What is Fog Computing?
Fog Computing is a decentralized computing structure where all types of data are stored in a logistic location called nodes between the data source and the Cloud. Aim of Fog Computing is to bring basic analytic services to the network edge. This will improve efficiency and the overall performance of the network by bringing the data closer to the network. It is more secured because it can segment bandwidth traffic and add necessary firewalls.
In Fog Computing data is stored closer to where it is created. This leads to creating networks with minimum delay time and with less data to be uploaded. Even when there is no bandwidth, the data can still be processed.
Fog extends services offered by Cloud to Edge devices. It is an extension of the Cloud. It provides more bandwidth, data security, and Internet connectivity. It works on the Network Edge.
5 Things Fog Provides:
- Security: Fog keeps data more secure as it is kept closer to where it is created. Data is transferred more securely and faster.
- Reliability: Basic information that is accessed frequently is stored closer, so it has easy access whenever needed and consumes even lesser time in transmission.
- Scalability: Just like Cloud you can pay and purchase more space to store data – the only difference is that the space is closer to the data source.
- Agility: Fog Computing requires less transmission time and resources providing your company more agility.
- Operability: IoT can function faster and securely as the data stored is at closer level. IoT devices can work more efficiently when combined with Fog.
Relation Between Fog and Edge Computing
Well-designed Edge Computing architecture uses Fog nodes to store data, this manages data to be processed in an efficient way. When Edge Computing and Fog computing are combined, the flow of data can be recorded; it can also detect from where the data is coming and where it must go.
The combination of Fog and Edge Computing makes the architecture more secure and flexible. In the areas with less Internet connectivity and bandwidth it is more useful as the data is stored closer to the data source, so data is transformed with low latency.
Fog is combination of Cloud and IoT
By 2020, there will be 30 billion IoT devices worldwide, and in 2025, the number will exceed 75 billion connected things, according to Statista.
Number of connected devices worldwide from 2015 to 2025 (in billions)
oT devices are connected over the Internet. Huge amount of data is generated that must be processed quickly and efficiently by introducing Fog Computing the data can be processed faster.
Limitations of Fog Computing
- Fog is a layer added between the server and the cloud making the network complicated.
- It is expensive as company must buy some edge devices such as gateways, routers etc.
- Fog is not as scalable as Cloud.
How Fog is different from Cloud
|Cloud is centralized with large data centers located far from client devices.||Fog is a decentralized network consisting of small nodes located near client devices.|
|Cloud directly communicates with the devices.||Fog acts as a mediator between data centres and hardware.|
|Data processing is done in remote data centres.||Data processing is done on Edge Network closer to the data source.|
|Computing and storage capabilities of Cloud are more powerful.||Computing and storage capabilities of Fog are less powerful.|
|They consist of less large data centres.||They consist of several small nodes.|
|Cloud performs long-term deep analysis due to slower responsiveness.||Fog performs short-term edge analysis due to instant responsiveness.|
|Cloud has high latency.||Fog has low latency.|
|Cloud could not work without the Internet connection.||Fog implements various protocols for working without the Internet.|
Opportunities of Fog Computing
- Fog nodes are located near to client’s server, so the response rate is faster.
- It has huge bandwidth as it is decentralized, so the data is transmitted to different nodes instead of sending it to a centralized data center.
- Fog can also work without Internet support using various protocols.
- It is more secured as data is processed by the large number of nodes located near to the origin of data.
- It is user-friendly because of its instant response feature.
New trends are rapidly flowing across IT industries. IoT is developing with the speed of light to match this speed one needs an architecture that processes the huge amount of data flowing regularly over the Internet. Fog Computing is the best option for processing and managing data efficiently.
It stores data in the Fog nodes located near to the client’s server; this improves its speed and efficiency and makes it user friendly.