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Network Infrastructure Magazine | Friday, June 09, 2023
Edge computing is disrupting industries by enabling real-time data processing at the source. With reduced latency, enhanced security, and scalability, it has the potential to revolutionise technology interactions and transform sectors like transportation, healthcare, manufacturing, and more.
FREMONT, CA: Edge computing deals with the practice of processing and evaluating information close to the source of the generated information instead of depending on the centralised cloud server. In conventional cloud computing, data is taken to a remote data centre, where this information is processed, analysed, and stored. However, in using edge computing, the processing of data occurs locally, at or close to the source of the generated data, similar to the edge of the network, on the device, or in a closeby data centre. This enables real-time processing, decreased latency, better bandwidth usage, improved security, and better scalability.
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The impact of edge computing on the future of various industries is garnering the curiosity of leaders in transportation, healthcare, manufacturing, retail, agriculture, and more. As the world is becoming more connected with the Internet of Things, or IoT, devices, edge computing is considered a disruptive technology that has the potential to revolutionise how businesses operate as well as change how they interact with technology.
The Emergence of Edge Computing
The rise of edge computing can be traced back to the demands for real-time data processing and analysis. With the expansion of IoT devices including drones, wearables, autonomous vehicles, and smart appliances, the sheer amount of information generated at the edge of the network has increased. The traditional cloud computing models, where information is centralised in servers for processing and analysis, come head-to-head with challenges regarding latency, bandwidth, and scalability. This has given rise to the emergence of edge computing. The technology addresses these challenges and allows for real-time data processing and analysis.
There are many advantages to using edge computing, which is why it has gained so much attention. There also have been numerous drivers for the rise of edge computing.
Decreased Latency: In numerous applications, like drones, industrial automation, and autonomous vehicles, low latency is critical for real-time decision-making. Edge computing allows for the local processing of data, decreasing latency regarding sending data to a remote data centre for processing. This allows for instantaneous response times, which are vital for time-sensitive applications.
Improved Security: Edge computing provides better security when compared to traditional cloud computing models. Data that is locally processed is present at the edge of the network and is not transmitted over the internet. This decreases the risk associated with data breaches, ascertaining better data privacy. This is especially important in industries that have to manage sensitive data, such as healthcare and finance.
Scalability: Edge computing offers scalability by dispensing computing resources across various edge devices or data centres. This enables efficient resource allocation, better scalability, and improved load balancing.
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