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MRM: delivering predictability and service differentiation in shared compute clusters.

, , , , and . SoCC, page 27:1. ACM, (2013)

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A Prototype System that Learns by Reading Simplified Texts., , , , , and . AAAI Spring Symposium: Machine Reading, page 49-54. AAAI, (2007)Modeling heterogeneous time series dynamics to profile big sensor data in complex physical systems., , , , and . IEEE BigData, page 631-638. IEEE Computer Society, (2013)A Data Analytic Engine Towards Self-Management of Cyber-Physical Systems., , , , and . ICDCS Workshops, page 303-308. IEEE Computer Society, (2013)Understanding radio activity signature of wireless sensor network protocols., , and . SenSys, page 362-363. ACM, (2014)Steps Towards a Second Generation Learning by Reading System., , , and . AAAI Spring Symposium: Learning by Reading and Learning to Read, page 36-43. AAAI, (2009)MRM: delivering predictability and service differentiation in shared compute clusters., , , , and . SoCC, page 27:1. ACM, (2013)Extracting discriminative shapelets from heterogeneous sensor data., , , , , and . IEEE BigData, page 1095-1104. IEEE Computer Society, (2014)Scalable Rule Management for Data Centers., , , and . NSDI, page 157-170. USENIX Association, (2013)Sensor faults: Detection methods and prevalence in real-world datasets., , and . ACM Trans. Sens. Networks, 6 (3): 23:1-23:39 (2010)Graph-Based Reasoning and Reinforcement Learning for Improving Q/A Performance in Large Knowledge-Based Systems., and . AAAI Fall Symposium: Commonsense Knowledge, volume FS-10-02 of AAAI Technical Report, AAAI, (2010)