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Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing., , , , , , , , , and 1 other author(s). IEEE BigData, page 1337-1346. IEEE, (2018)Design and Comparison of Resilient Scheduling Heuristics for Parallel Jobs., , , , and . IPDPS Workshops, page 567-576. IEEE, (2020)Adaptive Scheduling of Parallel Jobs on Functionally Heterogeneous Resources., , and . ICPP, page 43. IEEE Computer Society, (2007)Competitive Two-Level Adaptive Scheduling Using Resource Augmentation., , and . JSSPP, volume 5798 of Lecture Notes in Computer Science, page 207-231. Springer, (2009)GraphMal: A Network Malicious Traffic Identification Method Based on Graph Neural Network., , , , and . NaNA, page 262-267. IEEE, (2023)Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge., , , , , , and . ICFEC, page 75-84. IEEE, (2020)Tians Scheduling: Using Partial Processing in Best-Effort Applications., , and . ICDCS, page 434-445. IEEE Computer Society, (2011)Scalable Hierarchical Scheduling for Multiprocessor Systems Using Adaptive Feedback-Driven Policies., , , and . ISPA, page 38-45. IEEE Computer Society, (2010)Energy-Efficient Scheduling for Best-Effort Interactive Services to Achieve High Response Quality., , , , , and . IPDPS, page 637-648. IEEE Computer Society, (2013)Adaptive B-Greedy (ABG): A simple yet efficient scheduling algorithm., and . IPDPS, page 1-8. IEEE, (2008)