Real-Time Machine Learning: The Missing Pieces

11 Mar 2017Robert NishiharaPhilipp MoritzStephanie WangAlexey TumanovWilliam PaulJohann Schleier-SmithRichard LiawMehrdad NiknamiMichael I. JordanIon Stoica

Machine learning applications are increasingly deployed not only to serve predictions using static models, but also as tightly-integrated components of feedback loops involving dynamic, real-time decision making. These applications pose a new set of requirements, none of which are difficult to achieve in isolation, but the combination of which creates a challenge for existing distributed execution frameworks: computation with millisecond latency at high throughput, adaptive construction of arbitrary task graphs, and execution of heterogeneous kernels over diverse sets of resources... (read more)

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