#113: Latency is more than just a number


Manage episode 245652126 series 1393477
By SNIA Technical Council. Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio is streamed directly from their servers. Hit the Subscribe button to track updates in Player FM, or paste the feed URL into other podcast apps.
Over the years, SSD QoS has become more important to a variety of storage market segments. Traditional latency reporting methods do not always accurately depict QoS behaviors. This is problematic when attempting to understand what events lead to a specific QoS level and how to mitigate latency events that lead to levels of QoS. Defining correct statistical techniques for large populations of latencies deepens our understanding of what drives levels of QoS. Advanced statistical techniques, such a machine learning and utilizing AI, allows for deeper understanding of what drives QoS and how to correctly manage large quantities of latencies. New visualization techniques enhance capabilities to understand latency behavior and define critical scenarios that drive latency. Learning Objectives: 1) Identify shortcomings of current QoS reporting; 2) Generate more reliable QoS values; 3) Techniques to broaden understanding of groups of latencies; 4) Identification of critical transitions in latency; 5) Identify inaccuracies that inhibit understanding QoS.

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