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From Cars to Data Centers: Driving the Internet of Things with NVMe
The incredibly fast bandwidth advantages and high queue depths of Non-Volatile Memory Express SSDs enable faster and more efficient big data analysis.
Built for Fast Data, Edge Gateway Processing
NVMe reduces I/O latency through its direct CPU connection so that compliant SSDs can speak directly to the processor without a storage controller chip or protocol conversion that slows overall performance. As a result, I/O latencies can potentially be reduced to the low tens of microseconds versus more than a hundred microseconds for many SATA or SAS SSD deployments.
NVMe can also increase I/O parallelism, by which millions of sensor inputs are aggregated. In these scenarios, data aggregation driven by an edge gateway can involve many small parallel I/O operations. Though individual sensor reports are typically small, there can be hundreds to thousands of these reports delivered every second, requiring a very high I/O queue depth to achieve good performance. While SATA- and SAS-based SSDs are limited to a maximum of 32 or 256 outstanding I/O operations at any time, NVMe-based SSDs can support up to 64,000 queues, each of which may contain hundreds of I/O operations. Though individual NVMe SSDs will vary by the number of queues that are actually supported, in general, they provide far higher parallelism versus what SATA or SAS SSDs can deliver.
Data that is transmitted from hundreds or thousands of edge gateways are converted into knowledge and actions by performing core processing in the cloud. Whereas an edge gateway may handle a single factory floor or city block, a centralized processing core is built to handle an entire company's set of factories or an entire civil infrastructure. Aggregating and processing this type of big data involves tools such as Apache Spark and Apache Hadoop that take clusters of servers and meld them into a single unified application stack.
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