April 15, 2024

The rise of Linux in Edge Computing and IoT

Edge computing is commonly described as an evolving paradigm based on distributed computing that focuses on bringing computing and data storage closer to the actual source of data generation.

But how is edge computing related to Linux? What are some examples of Linux in edge computing? Let’s dive in.

The benefits of using Linux in Edge Computing

As noted above, edge computing involves processing data close to its source. In contrast, traditional cloud computing typically centralizes these types of processes in data centers spread around the world. By being close to the data source, edge computing can minimize latency, improve real-time processing, and improve overall system efficiency.

Linux is a versatile and robust operating system that is perfectly suited for edge computing. Its open source nature, combined with other Linux features such as adaptability, scalability, and security, make Linux a great candidate for an operating system to power edge computing systems.

1. Flexibility and customization

The open source nature of the Linux kernel allows developers to tailor the operating system to meet the specific requirements of edge computing. The flexibility of Linux is useful in edge computing applications where the devices in use vary significantly in terms of CPU processing power, memory, and storage.

2. Scalability

Edge computing environments often consist of diverse devices with different computing capabilities. The scalability and adaptability of Linux make it an excellent choice for such environments, as it adapts to the variety of devices.

3. Security

Security is always a priority in edge computing, especially with the proliferation of IoT devices. Linux’s strong security features, along with the global community of developers addressing vulnerabilities, make Linux an inherently secure choice for edge computing applications.

4. Real-time capabilities

Edge computing systems, particularly those using IoT, require real-time data processing for timely decision making. Recent advances in harnessing the real-time processing power of the Linux kernel, such as the PREEMPT_RT patch, aim to reduce latency and increase predictability by providing limited response time to external events.

5. Profitability

The open source nature of Linux, along with the general availability of the kernel to developers, helps make Linux profitable. This becomes particularly important when deploying large-scale edge computing systems. Linux offers an economically sound solution optimized for performance and security.

The challenges of deploying Linux for Edge Computing

Despite all the advantages of using Linux for edge computing, organizations must consider certain limitations and challenges.

1. Resource limitations

Edge devices typically operate with limited resources. While the scalability of Linux is essentially an advantage, it is important to strike a balance between functionality and resource usage. Careful optimization is essential to ensure efficient utilization of limited resources.

2. Combination of peripheral devices

There is a wide range of edge devices, ranging from sensors and actuators to edge gateways and servers. Diversity can present a challenge in terms of maintenance and optimization. Addressing various architectures and hardware configurations is a process that requires a lot of time and ongoing effort.

3. Security concerns

Decentralization is a common feature of edge computing systems, with a multitude of devices each having unique vulnerabilities. Periodically patching and updating these devices can be challenging, as well as difficult to track. Organizations must be vigilant in maintaining the security integrity of edge computing systems.

4. Complexity of integration

Integrating multiple devices into a cohesive system poses complex challenges. Developers must navigate the complexities of ensuring interoperability between devices running Linux and other operating systems.

Key Use Cases: Where Linux Shines in Edge Computing

Below are several examples of how Linux can be invaluable in edge computing environments.

Industrial IoT (IIoT)

In industrial environments, Linux-based peripheral devices can efficiently process data from sensors, actuators, and programmable logic controllers. This improves real-time decision making, operational efficiency and security in the rapidly evolving IIoT landscape.

Smart cities

Linux plays an important role in smart cities, contributing to systems ranging from traffic management to waste management. Edge devices running Linux and processing data locally are behind some of the crucial systems in smart cities. Examples of smart cities include Singapore, London, Hong Kong, Amsterdam, New York, Copenhagen, Seoul, Barcelona and Oslo.

Health care

Real-time data processing is essential in medicine and healthcare. Linux-based edge devices can help with patient monitoring, predictive maintenance of medical equipment, and protecting sensitive patient data.


Using Linux in edge computing can improve inventory management, create personalized customer experiences, and perform real-time analysis of consumer behavior. This can contribute to overall operational efficiency and tailor the shopping experience to customers.

autonomous vehicles

Edge computing with Linux enables self-driving cars to make fast and accurate decisions based on real-time data, thereby reducing the latency typically associated with cloud computing. This enables precise navigation, obstacle detection and traffic flow management. Communication between autonomous vehicles improves safety in scenarios such as convoys.


Linux-based edge computing can help with precision agriculture by monitoring soil quality, weather patterns, and crop health in real time. This data-driven approach can help farmers make informed decisions, optimize resource use, and ultimately improve crop yields.

The future landscape: Linux, Edge Computing and beyond

As technology advances, Linux and edge computing will become an integral part of various domains. The open source nature of Linux automatically encourages collaboration and aligns with the distributed nature of edge computing. Continuous collaboration between developers around the world ensures continuous evolution, allowing Linux to adapt to dynamic changes in the edge computing space.

Emerging technologies

The convergence of Linux with technologies like 5G, for example, will further amplify the capabilities of edge computing. The increased bandwidth and reduced latency offered by 5G enable edge computing devices to handle more complex tasks, opening up new possibilities for the future.

Cutting-edge artificial intelligence and machine learning

Integrating AI and machine learning (ML) with edge computing is another place where Linux is proving its worth. Edge computing systems that host lightweight AI and ML models enable smarter decision-making with reduced latency, eliminating reliance on centralized cloud servers for such operations and data processing.

Security innovations

Linux remains resilient in the face of a growing global threat landscape. Miter Corporation, under the name MITER ATT&CK, is tracking at least 94 different advanced persistent threat (APT) groups around the world. Linux IoT devices are already the target of APT groups and malware operators, and there will no doubt be APT groups specializing in edge computing systems, particularly those groups already focused on industrial control systems. Continued security innovations are important to protect these evolving technologies.

Main conclusions

Linux has been proven to run very well on edge computing systems. In these types of systems, data can be analyzed close to the source, reducing latency and improving real-time processing capabilities. The open source nature of Linux, while offering many benefits, also presents challenges.

Additional Resources and Links

ITPro Linux Resources

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