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Towards a scalable and energy-efficient resource manager for coupling cluster computing with distributed embedded computing.

, , , and . Clust. Comput., 20 (4): 3707-3720 (2017)

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Macaca: A Scalable and Energy-Efficient Platform for Coupling Cloud Computing with Distributed Embedded Computing., , , and . IPDPS Workshops, page 1785-1788. IEEE Computer Society, (2016)Sparkle: adaptive sample based scheduling for cluster computing., , , , , and . CloudDP@EuroSys, page 5:1-5:6. ACM, (2015)Towards a scalable and energy-efficient resource manager for coupling cluster computing with distributed embedded computing., , , and . Clust. Comput., 20 (4): 3707-3720 (2017)Enhancing sample-based scheduler with collaborate-state in big data cluster., , , , and . SEKE, page 477-480. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2017)Bluethunder: A 2-level Directional Predictor Based Side-Channel Attack against SGX., , , , , , and . IACR Trans. Cryptogr. Hardw. Embed. Syst., 2020 (1): 321-347 (2020)Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling., , , , and . Euro-Par, volume 11014 of Lecture Notes in Computer Science, page 293-305. Springer, (2018)PCSsampler: Sample-based, Private-state Cluster Scheduling., , , , , and . CCGrid, page 599-608. IEEE Computer Society / ACM, (2017)Tiresias: Low-Overhead Sample Based Scheduling with Task Hopping., , , , and . CLUSTER, page 251-254. IEEE Computer Society, (2016)