PolarisProfiler: A Novel Metadata-Based Profiling Approach for Optimizing Resource Management in the Edge-Cloud Continnum

Author:

Morichetta Andrea1,Pujol Víctor Casamayor1,Nastic Stefan1,Dustdar Schahram1,Vij Deepak2,Xiong Ying2,Zhang Zhaobo2

Affiliation:

1. TU Wien

2. Futurewei Technologies, Inc.

Publisher

IEEE

Reference63 articles.

1. {AI4DL}: Mining behaviors of deep learning workloads for resource management;berral;12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 20),0

2. Automatic Database Management System Tuning Through Large-scale Machine Learning

3. Workload forecasting and energy state estimation in cloud data centres: ML-centric approach

4. {INFaaS}: Automated model-less inference serving;romero;2021 USENIX Annual Technical Conference (USENIX ATC 21),0

5. Lube: Mitigating bottlenecks in wide area data analytics;wang;9th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 17),0

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2. Self-Provisioning Infrastructures for the Next Generation Serverless Computing;SN Computer Science;2024-06-26

3. Invited Paper: DeepSLOs for the Computing Continuum;Proceedings of the 2024 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems;2024-06-17

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