Edge Computing: A Continuous Rise That Will Set a Trend in 2024
The shift towards a hybrid work model, driven by the ubiquitous presence of the cloud and SaaS applications, has reconfigured the way companies manage their resources and data. That is a reality. For this reason, edge computing is presented as the solution to transcend technological boundaries.
This trend is further permeated by the influence of other technologies such as artificial intelligence and 5G. In fact, a GSMA survey found that 90% of mobile ecosystem players in China see edge computing as a significant revenue opportunity in the 5G era.
IBM also projects that, in 2024, more companies will change their data center strategy towards edge computing to satisfy data processing needs, indicating that “this provides for a distribution of computing operations in a network of diverse locations, enhancing its availability and enabling the use and analysis of data in real-time, locally. In addition, it reduces network costs and helps address AI security challenges while respecting regulations.”
Why should companies migrate to edge computing?
The migration to edge computing has become a fundamental strategy for companies seeking to optimize their operations. This decentralized approach to data processing offers a number of advantages that go beyond simple technological efficiency, such as:
• Latency reduction. By processing data closer to the source, latency time is significantly reduced. This is crucial for applications and services requiring fast responses, such as the Internet of Things (IoT) and real-time applications.
• Bandwidth savings. By performing data processing at the edge of the network, the need to transfer large amounts of data to remote data centers is minimized, saving bandwidth and reducing associated costs.
• Enhanced security. By processing and analyzing data at the edge, a higher level of security can be introduced, as critical data does not have to travel over long distances. This reduces exposure to potential threats and security risks.
• Efficient use of resources. Edge computing enables users to distribute the workload, optimizing the use of resources and enhancing system efficiency. This is especially beneficial in environments where local processing capacity can be leveraged more effectively than relying exclusively on centralized data centers.
• Support for emerging applications. Many emerging applications, such as augmented reality, artificial intelligence, and autonomous vehicles, require fast and local data processing to function effectively. Edge computing provides the essential infrastructure to support these advanced technologies.
How to implement edge computing technologies?
Implementing edge computing technologies effectively involves careful planning and choosing reliable technology partners. In this sense, Ikusi stands out as the perfect ally to implement this transition successfully.
To start, our Ikusi SASE (Secure Access Service Edge) solution provides a secure and agile network architecture, enabling companies to ensure the secure connection of distributed users to resources at the edge. Additionally, in cooperation with Ikusi Virtual Desktop, we offer a virtual desktop infrastructure that enables employees to access their applications and data from any location, enhancing operational flexibility. Complementing this, Ikusi Cloud Infrastructure provides a solid foundation for decentralized data management, optimizing performance and scalability.
If you need to implement edge computing technologies to optimize your operations, click here to contact us.