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Power-Aware DBMS: Potential and Challenges.

, , and . SSDBM, volume 6809 of Lecture Notes in Computer Science, page 598-599. Springer, (2011)

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Exploring federated learning on battery-powered devices., , and . ACM TUR-C, page 6:1-6:6. ACM, (2019)Power-Aware DBMS: Potential and Challenges., , and . SSDBM, volume 6809 of Lecture Notes in Computer Science, page 598-599. Springer, (2011)Online Energy Estimation of Relational Operations in Database Systems., , and . IEEE Trans. Computers, 64 (11): 3223-3236 (2015)Dynamic Energy Estimation of Query Plans in Database Systems., , and . ICDCS, page 83-92. IEEE Computer Society, (2013)Tell-tale tails: Decomposing response times for live internet services., , , and . IGSC, page 1-8. IEEE Computer Society, (2015)Power-Aware Throughput Control for Database Management Systems., , and . ICAC, page 315-324. USENIX Association, (2013)CADRE: Carbon-Aware Data Replication for Geo-Diverse Services., , , and . ICAC, page 177-186. IEEE Computer Society, (2015)From the Outside Looking In: Probing Web APIs to Build Detailed Workload Profiles., , , and . Feedback Computing, USENIX Association, (2014)PET: Reducing Database Energy Cost via Query Optimization., , and . PVLDB, 5 (12): 1954-1957 (2012)Data-Intensive Computing Acceleration with Python in Xilinx FPGA., , , and . QUAT@WISE, volume 11235 of Lecture Notes in Computer Science, page 111-124. Springer, (2018)