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Architecture-based design and optimization of genetic algorithms on multi- and many-core systems.

, , , , and . Future Gener. Comput. Syst., (2014)

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CoTuner: a framework for coordinated auto-configuration of virtualized resources and appliances., , and . ICAC, page 75-76. ACM, (2010)State Observability and Observers of Linear-Time-Invariant Systems Under Irregular Sampling and Sensor Limitations., , , , and . IEEE Trans. Automat. Contr., 56 (11): 2639-2654 (2011)DynaQoS: Model-free self-tuning fuzzy control of virtualized resources for QoS provisioning., , , and . IWQoS, page 1-9. IEEE, (2011)Dynamic Channel Pruning: Feature Boosting and Suppression., , , , and . ICLR (Poster), OpenReview.net, (2019)Stochastic Prediction of Execution Time for Dynamic Bulk Synchronous Computations., , and . J. Supercomput., 21 (1): 91-103 (2002)Scalable and Secure P2P Overlay Networks., , , and . Handbook on Theoretical and Algorithmic Aspects of Sensor, Ad Hoc Wireless, and Peer-to-Peer Networks, CRC Press / Taylor & Francis, (2005)Interference Analysis of Co-Located Container Workloads: A Perspective from Hardware Performance Counters., , , , and . J. Comput. Sci. Technol., 35 (2): 412-417 (2020)BTS: Balanced Task Scheduling Strategy Based on Multi-resource Prediction and Allocation in Cloud Environment., , , and . NPC, volume 11783 of Lecture Notes in Computer Science, page 345-349. Springer, (2019)System-wide energy minimization for real-time tasks: Lower bound and approximation., and . ACM Trans. Embed. Comput. Syst., 7 (3): 28:1-28:24 (2008)A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder., , and . CLOUD, volume 12403 of Lecture Notes in Computer Science, page 126-140. Springer, (2020)