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Industrial-grade microSD card makes edge computing more efficient

Latest update time:2017-03-03
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Undoubtedly, "cloud computing" has brought great changes to many companies, just like a compass providing direction for the helmsman in the wave of digitalization. Today, as cloud computing is widely known, the concept of "edge computing" has suddenly entered people's vision like mushrooms after rain. If cloud computing is suitable for big data analysis of non-real-time and long-cycle data, then edge computing is good at completing the analysis of real-time and short-cycle data. "Edge computing", a name that sounds futuristic, quickly swept the IT industry and became a hot topic.


If you are curious about edge computing, and if you want to stand out in the discussion of edge computing, then please read Micron Technology's interpretation of "edge computing" from the perspective of storage technology. Let's take a ride on Micron's technology express train to find out.

What is edge computing?

According to Wikipedia, edge computing refers to moving the boundaries of computing applications, data, and services from centralized nodes to the logical extreme of the computing network. With edge computing, analysis can be performed and various knowledge can be generated at the data source.

Unlike delivery methods that are completely based on local or cloud computing, edge computing is close to the network edge of the object or data source. It is an open platform that integrates network, computing, storage, and application core capabilities to provide edge intelligent services nearby, meeting the key needs of industry digitalization in agile connectivity, real-time business, data optimization, application intelligence, security and privacy protection, etc.

However, when this approach is taken, the resources being utilized may not always be connected to the network, so specialized storage mechanisms are needed to meet the growing demand for the number of hours of captured data. For example, automotive SD cards are used to capture video from various external cameras. In the future, the role of automotive SD cards may be expanded to capture video and telemetry data in the event of an accident or theft.


Content storage and edge computing

Compared with the pure cloud model, edge delivery of business applications can not only significantly reduce the pressure on the cloud, but also achieve millisecond-level low latency and higher network bandwidth, ensuring network transmission efficiency and stability. It is particularly suitable for business scenarios such as high-definition image processing, video surveillance, smart transportation, and smart homes. Reliable storage solutions are essential to ensure the safe storage of this information. Micron Technology's Industrial-grade microSD card is specially designed from three aspects: durability, reliability, and service life , which greatly improves the protection of important data:

  • Durability : Built to meet the growing demand for capturing hours of security video (capable of 24/7 recording for 3 years)**

  • Reliability : measured by Mean Time Between Failures (MTTF). In some industrial applications, SD cards may not be easily accessible, so lifespan is critical. Typically, standard SSDs have an MTTF of 1 million to 1.5 million hours, while industrial-grade microSDs can meet more stringent quality standards with an MTTF of 3 million hours.

  • Product lifecycle : Have a scalable roadmap to meet the needs of products with long lifecycles.

If "cloud computing" is responsible for covering the sky, then "edge computing" is responsible for spreading everywhere. In the intelligent society where everything is connected, the potential of edge computing is by no means "edge". For edge computing, high-performance storage is undoubtedly the core element. Micron Technology has been exploring and providing leading products and solutions for this purpose - industrial-grade microSD cards. For more information about Micron microSD cards, please click Read the original article Visit our memory card page.

**May vary depending on camera tested



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