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2024
A Modular Architecture and a Cost-Model to Estimate the Overhead of Implementing Confidentiality in Cloud Computing Environments
STORCH, M; MEYER, V.; ZORZO, A; DE ROSE C. A. F.
Symposium on High Performance Computing Systems (SSCAD), 2024. p. xx. São Carlos, SP, Brazil. [Link]
Evaluating machine learning prediction techniques and their impact on proactive resource provisioning for cloud environments
KIRCHOFF, D. F. ; MEYER, V.; CALHEIROS, R. N.; DE ROSE C. A. F.
The Journal of Supercomputing (SC), 2024 [Link]
2023
A versatile emulator tool to evaluate the scalability of Edge architectures in IoT scenarios
DA SILVA, M.; GONÇALVES, H.;MEYER, V.; HESSEL, F.; DE ROSE C. A. F.
Proceedings of the 9th IEEE World Forum on Internet of Things (WF-IoT), Aveiro, Portugal, pp. 1-6, 2023 . [Link]
2022
IntP: Quantifying cross-application interference via system-level instrumentation
XAVIER, M. G.; CANO, C. H.; MEYER, V.; DE ROSE, C. A. F.
Proceedings of the 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Bordeaux, France 2022, pp. 231-240. [Link]
IADA: A dynamic interference-aware cloud scheduling architecture for latency-sensitive workloads.
MEYER, V. ; SILVA, M. L. ; KIRCHOFF, D. F. ; DE ROSE, C. A. F.
Journal of Systems and Software (JSS), v.194C p.111491, 2022.[Link]
Interference-aware cloud scheduling architecture for dynamic latency-sensitive workloads.
MEYER, V.
Doctoral Thesis, Pontifical Catholic University of Rio Grande do Sul (PUCRS)[Link]
2021
Edge computing and its boundaries to IoT and Industry 4.0: a systematic mapping study.
SILVA, M. L. ; MEYER, V. ; DE ROSE, C. A. F.
International Journal of Grid and Utility Computing (IJGUC), to appear. [Link]
ML-driven Classification Scheme for Dynamic Interference-aware Resource Scheduling in Cloud Infrastructures
MEYER, V. ; KIRCHOFF, D. F. ; SILVA, M. L. ; DE ROSE, C. A. F.
Journal of Systems Architecture (JSA), v.116, p.102064, 2021. [Link]
2020
Towards Interference-aware Dynamic Scheduling in Virtualized Environments.
MEYER, V. ; LUDWIG, U. L. ; XAVIER, M. G. ; KIRCHOFF, D. F. ; DE ROSE, C. A. F. .
IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Proceedings of the 23nd International Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP). New Orleans, USA, 2020, pp. 1-24. [Link]
An Interference-Aware Application Classifier Based on Machine Learning to Improve Scheduling in Clouds
MEYER, V. ; KIRCHOFF, D. F. ; SILVA, M. L. ; DE ROSE, C. A. F.
Proceedings of the 28th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), Västerås, Sweden, 2020, pp. 80-87. [Link]
Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers
KRZYWDA, J. ; MEYER V. ; XAVIER, M. ; ALI-ELDIN, A. ; ÖSTBERG, P. ; DE ROSE, C. A. F. ; ELMROTH, E.
Proceedings of the 28th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), Västerås, Sweden, 2020, pp. 88-93. [Link]
Evaluating the performance and improving the usability of parallel and distributed Word Embeddings tools
SILVA, M. L.; MEYER, V. ; KIRCHOFF, D. F. ; SANTOS, J. ; VIEIRA, R. ; DE ROSE, C. A. F.
Proceedings of the 28th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), Västerås, Sweden, 2020, pp. 201-206. [Link]
2019
Performance and Cost Analysis between Elasticity Strategies over Pipeline-structured Applications
MEYER, V. ; XAVIER, M. ; KIRCHOFF, D. ; RIGHI, R. ; DE ROSE, C. A. F.
Proceedings of the 9th International Conference on Cloud Computing and Services Science (CLOSER), 2019. v. 1. p. 404-411. Heraklion, Greece. [Link]
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs
THAMSEN, L. ; VERBITSKIY, I ; NEDELKOSKI, S ; TRAN, V. T. ; MEYER, V. ; XAVIER, M. G. ; KAO, O ; DE ROSE, C. A. F.
Euro-Par 2019: European Conference on Parallel Processing Workshops (EUROPARW), 2019. v. 1. p. 519-530. Goettingen, Germany. [Link]
Pipel: Exploiting Resource Reorganization to Optimize Performance of Pipeline-Structured Applications in the Cloud
MEYER, V.; RODRIGUES, V. F. ; RIGHI, R. R. ; COSTA, C. A. da ; GALANTE, G ; BOTH, C. .
International Journal of Computational Systems Engineering (IJCSysE), v. 5, p. 1-17, 2019. [Link]
2018
Simulators Usage Analysis to Estimate Power Consumption in Cloud Computing Environments
MEYER, V.; KRINDGES, R. ; FERRETO, T. C. ; DE ROSE, CESAR A.F. ; HESSEL, F.
Symposium on High Performance Computing Systems (WSCAD), 2018. p. 70. São Paulo, Brazil. [Link]