An Interference-Aware Strategy for Co-locating High Performance Computing Applications in Clouds
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-41050-6_1
Reference16 articles.
1. Alves, M., Teylo, L., Frota, Y., Drummond, L.: An interference-aware virtual machine placement strategy for high performance computing applications in clouds. In: XIX Simpósio em Sistemas Computacionais de Alto Desempenho (WSCAD 2018), Brazil (2018)
2. Alves, M.M., de Assumpção Drummond, L.M.: A multivariate and quantitative model for predicting cross-application interference in virtual environments. J. Syst. Softw. 128, 150–163 (2017)
3. Basto, D.T.: Interference aware scheduling for cloud computing. Master’s thesis, Universidade do Porto (2015)
4. Chen, L., Patel, S., Shen, H., Zhou, Z.: Profiling and understanding virtualization overhead in cloud. In: 44th International Conference on Parallel Processing (ICPP), pp. 31–40. IEEE (2015)
5. Chen, L., Shen, H., Platt, S.: Cache contention aware virtual machine placement and migration in cloud datacenters. In: 24th International Conference on Network Protocols (ICNP), pp. 1–10. IEEE (2016)
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1. ODIN: Overcoming Dynamic Interference in iNference Pipelines;Euro-Par 2023: Parallel Processing;2023
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