As the demand for both SSD memory capacity and operating speed continues to increase at a breakneck pace, so does the need to improve data storage efficiency, reduce garbage collection, and handle errors more proactively.
For a big-picture analogy, let’s compare the problems faced with SSD data to the challenges of grain delivery from silo to transportation to warehouse. We’ll consider bags of grain to be delivered as bulk data to be stored on an SSD. NVMe SSD technologies allow the shipper (Data Center host) to specify:
Now let’s consider the associated problem of pest control. In ages past, the world beat a path to the door of those who built a better mousetrap. In the SSD world, that task is akin to error management.
And then there are cross-functional issues, such as…
Samsung is building a better mousetrap by leading the technology world in SSD engineering.
The Samsung annual Memory Tech Day event offered several breakout sessions that uncovered our latest storage technologies. Here are the key takeaways from the computing memory solutions track.
Jung Seungjin, VP of Solution Product Engineering team, discusses SSD Telemetry.
Consider a brief history of telemetry: Telemetry concepts of collecting operations data and then transmitting it to a remote location for interpretation have been around for well over a century. Various forms of error logging and retrieval were included from the beginning of modern hard drive technologies. Basic SSD-specific telemetry commands and delivery formats became standard starting with NVMe 1.3.
In more recent times, Samsung has been using its position as the leader in SSD technology to drive sophisticated and necessary telemetry additions to the spec. The benefits of Samsung’s cutting-edge research become immediately obvious. Consider, for example, Samsung Telemetry Service, an advanced tool helping enterprise customers remotely analyze and manage their devices. It guarantees the stability of data – allowing data center operators to prevent future drive failures, manage drive replacement, and migrate data.
“Through monitoring, we realized that multi-address CECC can become a UECC that can cause problems in the system in the future.”
The Telemetry presentation focuses on telemetry background, the latest improvements that Samsung is driving to add to the specification, and examples of the value they add to enable detection of drive failure. Of key interest is Samsung’s advanced machine learning-based anomaly prediction research.