Intelligent QoS For EMC Storage by Leveraging Big Data Analytics

In the storage industry, Quality of Service (QoS) is the ability to provide different priorities to different applications and LUNs, or to guarantee a certain level of performance to an application. Storage QoS is an important consideration for customers wishing to improve overall storage performance and customer experience. However, current QoS implementations are inflexible and mechanized. Knowledge Sharing author Yangbo Jiang reasons, since we are into “Big Data” era, why not take full advantage of it to make QoS intelligent?

Storage environments absorb large amounts of data every second, much of which can contain very useful information hidden inside. By using Big Data analytic techniques, storage administrators could predict customer behavior patterns and automatically adjust QoS values for applications proactively in real-time.

In his Knowledge Sharing article, Yangbo describes how to build a QoS analysis framework by analyzing massive data retrieved from existing data collection techniques in storage and interacting with the existing QoS feature in storage. For better analysis on such massive data, Yangbo recommends adopting popular Big Data analysis methods and then interact with storage to set QoS value proactively.

This article will be of interest to those who would like to enhance QoS capabilities in their storage product. The framework introduced in this article could be easily implemented and applied to current storage systems to make them more intelligent.

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