Differences between Fog Computing and Cloud Computing

In the field of the Internet of Things, the most important thing is cloud computing. Without it, there is no possibility of advancing IoT technology. To give more sharpness to the development of smart and advanced IoT devices, fog computing and edge computing comes to work along with cloud computing. But what is fog computing, and how does it work? Let us discuss the difference between cloud computing and fog computing below.

What is Cloud Computing?

Cloud computing is the allocation of on-demand computing services. Applications for online processing and storage are available, and the service is pay-as-you-go. Anyone may rent access to everything from apps to storage from a cloud service provider without owning any computing hardware or data centers. By leveraging cloud computing services and only paying for what we need, we may avoid the hassle of owning and maintaining infrastructure. Cloud computing service companies may gain enormous economies of scale by offering the same services to a wide range of consumers.

What is Fog Computing?

The term "fog computing" refers to a decentralized computing architecture or method where computer resources are dispersed between the data source and the cloud or other data center and the data center itself. A paradigm known as fog computing responds to user queries at edge networks. Typically, the hubs, routers, gateways, and other networking-related equipment at the fog layer carry out networking-related tasks. According to researchers, these gadgets are expected to be capable of concurrent processing and networking tasks. Despite these devices having fewer available resources than cloud servers, their geographical dispersion and decentralized nature enable them to provide dependable services with widespread coverage. The physical location of the devices in fog computing is significantly closer to the consumers than cloud servers are.

Difference between Fog Computing and Cloud Computing

The following table highlights major differences between Fog Computing and Cloud Computing −


Fog Computing

Cloud Computing


The latency of fog computing is minimal.

When compared to fog computing, cloud computing has a significant latency.

Depending on how well the core network performs

Effective in a weak network core

A robust network core is necessary


Fog Computing minimizes the quantity of data supplied to cloud computing.

Cloud computing does not offer any reduction in data when transmitting or converting data

Communication mode

WLAN, Wi-Fi, 3G, 4G, ZigBee, and other types of wireless or wired connection (part of the IP networks)

IP Network


The system's response time is quick.

System response times are slow.

Working environment

Specific air conditioning systems in a data center building

Outdoor (streets, base stations, etc.) or indoor (houses, cafés, etc.)


Fog computing has higher security than cloud computing

Cloud computing has less security

Place of service

Services are offered at the local network's perimeter.

Internet-based services are offered.


More expensive than cloud computing.

Access speed depends on the connection of the virtual machine.

Geographical Spread

It is scattered and decentralized.

It is centrally located.

Data Integration

It is possible to combine several data sources and devices.

Integration of several data sources is possible.

Number of Server Nodes

Numerous server nodes are used in fog computing.

There are not many server nodes in cloud computing.


Fog computing supports mobility.

Mobility in cloud computing is constrained.

Geographic Awareness

Aided by fog computing

Partially cloud computing is supported.


The driving force behind IT development is the new requirements of evolving technology. Fog computing is one way that can meet the demands of an ever-increasing number of linked devices. It uses local rather than remote computer resources, increasing efficiency and power while decreasing bandwidth difficulties. Companies should examine cloud computing vs. fog computing to capitalize on emerging possibilities and realize the actual potential of the technologies.