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LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks.

, , , , and . ACSOS, page 41-50. IEEE, (2021)

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LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks., , , , and . ACSOS, page 41-50. IEEE, (2021)Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows., , , and . IEEE Big Data, page 3714-3719. IEEE, (2022)EdgePier: P2P-based Container Image Distribution in Edge Computing Environments., , and . IPCCC, page 1-8. IEEE, (2021)Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments., , , , and . IEEE Big Data, page 4583-4588. IEEE, (2022)Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics., , , , , and . IEEE Big Data, page 209-216. IEEE, (2022)Towards AIOps in Edge Computing Environments., , , , and . IEEE BigData, page 3470-3475. IEEE, (2020)Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward., , , , and . IC2E, page 1-7. IEEE, (2022)Macaw: The Machine Learning Magnetometer Calibration Workflow., , , , and . ICDM (Workshops), page 1095-1101. IEEE, (2022)SyncMesh: improving data locality for function-as-a-service in meshed edge networks., , , , , and . EdgeSys@EuroSys, page 55-60. ACM, (2022)Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams., , , and . ICFEC, page 88-93. IEEE, (2022)