September 11, 2018

Edge Computing—Bringing Value to IoT

Edge computing processes IoT data locally, improving efficiency, reducing storage costs, and enabling real-time analytics while ensuring faster decision-making.

Edge Computing: A Solution for IoT Data Challenges

There are already billions of IoT devices in various sectors—business, consumer, civic, science, and industrial. These devices generate massive amounts of data that will only grow exponentially. Edge computing plays a crucial role in making sense of this data.

The Challenge: Managing Massive Data Streams

With IoT devices scattered across the planet—from assembly lines and vehicles to hospitals and homes—they generate an overwhelming volume of data. However, streaming all of this data to clouds or enterprise data centers is often impractical due to limited bandwidth and infrastructure.

Not All Data Is Valuable

Not every data point is important. Many devices, for example, only need to alert owners when something unusual happens, like an overtaxed machine or a medical emergency. Storing all data can quickly become costly.

The Role of Edge Computing

Edge computing solves this problem by offering decentralized processing closer to where the IoT devices are located. Local data centers near IoT devices perform analytics to extract useful information from the data streams. Only the valuable, processed data is then sent to cloud storage or corporate data centers, reducing bandwidth usage and storage costs.

The Importance of Storage in Edge Computing

For edge computing to function effectively, storage solutions are essential. Local data centers, even small ones, need enough storage to handle the incoming data streams and support real-time analytics. All-flash storage is recommended because it offers several advantages:

  • Energy efficiency
  • Reliability, especially for remote sites without on-premise staff
  • High performance for real-time analytics

Conclusion: Enhancing Efficiency and Value

Edge computing ensures IoT data is processed rapidly and cost-effectively. By improving the efficiency of data management and analytics, edge computing supports better decision-making in various fields, such as business, health, and industry, while lowering costs and improving safety.

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