Evaluation Model and Performance Analysis of NIC Aggregations in Containerized Private Clouds

  • Anderson M. Maliszewski UFRGS / SETREM
  • Dalvan Griebler SETREM / PUCRS
  • Eduardo Roloff UFRGS
  • Rodrigo da Rosa Righi UNISINOS
  • Philippe O. A. Navaux UFRGS


The availability of computational resources changed significantly due to cloud computing. In addition, we have witnessed efforts to execute High-Performance Computing (HPC) applications in the cloud attracted by the advantages of cost savings and scalable/elastic resource allocation. Allocating more powerful hardware and exclusivity allocating resources such as memory, storage, and CPU can improve performance in the cloud. For network interconnection, significant noise, and other inferences are generated by several simultaneous instances (multitenants) communicating using the same network. As increasing the network bandwidth may be an alternative, we designed an evaluation model, and performance analysis of NIC aggregation approaches in containerized private clouds. The experiments using NAS Parallel Benchmarks revealed that NIC aggregation approach outperforms the baseline up to ≈98% of the executions with applications characterized by intensive network use. Also, the Balance Round-Robin aggregation mode performed better than the 802.3ad aggregation mode in most assessments.
Palavras-chave: Cloud Computing, Private Cloud, High Performance Computing, Network Performance, NIC Aggregation, Performance Analysis
MALISZEWSKI, Anderson M.; GRIEBLER, Dalvan; ROLOFF, Eduardo; RIGHI, Rodrigo da Rosa; NAVAUX, Philippe O. A.. Evaluation Model and Performance Analysis of NIC Aggregations in Containerized Private Clouds. In: WORKSHOP ON CLOUD COMPUTING - INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING (SBAC-PAD), 35. , 2023, Porto Alegre/RS. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 101-107.