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An ontology for heterogeneous resources management interoperability and HPC in the cloud.

, , , and . Future Gener. Comput. Syst., (2018)

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Heterogeneous Resource Management and Orchestration in Cloud Environments., , , , and . CLOSER (Selected Papers), volume 864 of Communications in Computer and Information Science, page 61-80. Springer, (2017)Dimensioning Scientific Computing Systems to Improve Performance of Map-Reduce based Applications., , , and . ICCS, volume 9 of Procedia Computer Science, page 226-235. Elsevier, (2012)An ontology for heterogeneous resources management interoperability and HPC in the cloud., , , and . Future Gener. Comput. Syst., (2018)Towards a Scalable and Adaptable Resource Allocation Framework in Cloud Environments., , , , and . ICPP Workshops, page 137-144. IEEE Computer Society, (2017)iCanCloud: A Brief Architecture Overview., , and . ISPA, page 853-854. IEEE Computer Society, (2012)E-mc2: A formal framework for energy modelling in cloud computing., , , and . Simul. Model. Pract. Theory, (2013)Assessing and Enforcing Fairness in the AI Lifecycle., , , and . IJCAI, page 6554-6562. ijcai.org, (2023)A Generic Framework Supporting Self-Organisation and Self-Management in Hierarchical Systems., , , , , , and . ISPDC, page 149-156. IEEE, (2017)When Industry meets Trustworthy AI: A Systematic Review of AI for Industry 5.0., and . CoRR, (2024)Machine learning applied to accelerate energy consumption models in computing simulators., and . Simul. Model. Pract. Theory, (2020)