SAC 2016 - 1st International Workshop on System Analytics and Characterization

The statistical techniques at the forefront of the big data movement are uniquely suited to the systems community; even modest sized systems can easily produce hundreds of millions of data entries per hour . Efficiently tracking and mining this data has the potential for significant benefits, ranging from performance optimization in data centers to fundamental architectural changes in how we design and organize scalable systems. To apply these techniques successfully, as well as to understand the new challenges in data-driven systems design and administration, we must take a close look at current best practices and explore novel techniques in trace collection, validation, and analysis.