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Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs.

L. Thamsen, I. Verbitskiy, S. Nedelkoski, V. Tran, V. Meyer, M. Xavier, O. Kao, and C. Rose. CoRR, (2021)

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Other publications of authors with the same name

Data-Driven Approach for Log Instruction Quality Assessment.J. Bogatinovski, S. Nedelkoski, A. Acker, J. Cardoso, and O. Kao. CoRR, (2022)Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs.S. Nedelkoski, J. Bogatinovski, A. Acker, J. Cardoso, and O. Kao. ICDM, page 1196-1201. IEEE, (2020)Performance Diagnosis in Cloud Microservices Using Deep Learning.L. Wu, J. Bogatinovski, S. Nedelkoski, J. Tordsson, and O. Kao. ICSOC Workshops, volume 12632 of Lecture Notes in Computer Science, page 85-96. Springer, (2020)Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs.L. Thamsen, I. Verbitskiy, S. Nedelkoski, V. Tran, V. Meyer, M. Xavier, O. Kao, and C. Rose. CoRR, (2021)Multi-source Distributed System Data for AI-Powered Analytics.S. Nedelkoski, J. Bogatinovski, A. Mandapati, S. Becker, J. Cardoso, and O. Kao. ESOCC, volume 12054 of Lecture Notes in Computer Science, page 161-176. Springer, (2020)QuLog: data-driven approach for log instruction quality assessment.J. Bogatinovski, S. Nedelkoski, A. Acker, J. Cardoso, and O. Kao. ICPC, page 275-286. ACM, (2022)Self-Supervised Anomaly Detection from Distributed Traces.J. Bogatinovski, S. Nedelkoski, J. Cardoso, and O. Kao. UCC, page 342-347. IEEE, (2020)Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction.A. Acker, T. Wittkopp, S. Nedelkoski, J. Bogatinovski, and O. Kao. FedCSIS, volume 21 of Annals of Computer Science and Information Systems, page 7-10. (2020)Anomaly Detection from System Tracing Data Using Multimodal Deep Learning.S. Nedelkoski, J. Cardoso, and O. Kao. CLOUD, page 179-186. IEEE, (2019)Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures.S. Nedelkoski, L. Thamsen, I. Verbitskiy, and O. Kao. EDGE, page 8-12. IEEE, (2019)

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Disambiguation of "Nedelkoski, Sasho"

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Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs.

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Disambiguation of "Nedelkoski, Sasho"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs.

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Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs.