Performance and power consumption evaluation of the MOODLE environment

Authors

DOI:

https://doi.org/10.33448/rsd-v10i5.15191

Keywords:

Cloud Computing; Performance Evaluation; Energy consumption; Teaching; Virtual learning environment.

Abstract

Virtual Learning Environments (VAS) are increasingly present in educational institutions due to the fact that such systems represent another resource for improving communication between students and professors. Although these systems are not new, there are few studies evaluating their performance as well as the decurrent energy consumption. Assessing the relationship between AVA’s performance and energy consumption is critical to solving problems in the initial phases of new projects or during the upgrading of existing infrastructure. Therefore, this work aims to evaluate the performance and power consumption of the Moodle environment, a platform that provides AVAs support, using two private cloud systems, Apache CloudStack and OpenStack. In order to accomplish this, a methodology is adopted to support the evaluation of such experiments. Additionally, case studies have been conducted to illustrate the applicability of the methodology assuming the private clouds Apache CloudStack and OpenStack. The results revealed that performance and also energy consumption are different between the two systems. For example, in the experiments performed, OpenStack showed a higher power consumption when compared to the Apache CloudStack because it demands a longer response time.

References

Assavakamhaenghan, N., Suwanworaboon, P., Tanaphantaruk, W., Tuarob, S., & Choetkiertikul, M. (2020, June). Towards Team Formation in Software Development: A Case Study of Moodle. In 2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) (pp. 157-160). IEEE.

Barros, J., Callou, G., & Gonçalves, G. (2017, May). Análise Integrada de Desempenho e Consumo de Energia em Sistemas de Armazenamento de Dados Distribuídos. In Anais do XV Workshop em Clouds e Aplicações. SBC.

Borba, E. R. (2017). Modelagem de desempenho e disponibilidade para sistemas de armazenamento híbridos (Master's thesis, Universidade Federal de Pernambuco).

Bruschi, G. C., Spolon, R., Pauro, L. L., Lobato, R. S., Manacero, A., & Cavenaghi, M. A. (2016, July). Stackact: Performance evaluation in an iaas cloud multilayer. In 2016 15th International Symposium on Parallel and Distributed Computing (ISPDC) (pp. 149-156). Ieee.

Callou, G., Maciel, P., Tavares, E., Andrade, E., Nogueira, B., Araujo, C., & Cunha, P. (2011). Energy consumption and execution time estimation of embedded system applications. Microprocessors and Microsystems, 35(4), 426-440.

da Silva, A. V. G., de Lima, C. J., & de Almeida Callou, G. R. (2019). Análise de desempenho do ambiente virtual de aprendizagem na nuvem privada apache cloudstack. GESTÃO. Org, 17(8), 120-133.

dos Santos, D. M. L., Vale, K. M. A. C., & de Alencar, F. M. R. (2020). , Nextcloud e Pydio. Brazilian Journal of Development, 6(6), 40549-40566.

Dantas, J. R. (2018). Planejamento de infraestrutura de nuvens computacionais para serviço de VoD streaming considerando desempenho, disponibilidade e custo.

Fe, I., Matos, R., Dantas, J., Melo, C., & Maciel, P. (2017, October). Stochastic model of performance and cost for auto-scaling planning in public cloud. In 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 2081-2086). IEEE. DOI 10.1109/SMC.2017.8122926

German, R. (2000). Performance analysis of communication systems with non-Markovian stochastic Petri nets. John Wiley & Sons, Inc.

Kumar, R., Jain, K., Maharwal, H., Jain, N., & Dadhich, A. (2014). Apache cloudstack: Open source infrastructure as a service cloud computing platform. Proceedings of the International Journal of advancement in Engineering technology, Management and Applied Science, 111, 116.

Li, Y., Yu, M., & Hu, Y. (2019, July). Modeling and Analysis of Classroom Teaching Evaluation Platform Based on Colored Petri Nets. In 2019 IEEE 9th International Conference on Electronics Information and Emergency Communication (ICEIEC) (pp. 442-445). IEEE.

Lilja, D. J. (2005). Measuring computer performance: a practitioner's guide. Cambridge university press.

Machida, F., Andrade, E., Kim, D. S., & Trivedi, K. S. (2011, October). Candy: Component-based availability modeling framework for cloud service management using sysml. In 2011 IEEE 30th International Symposium on Reliable Distributed Systems (pp. 209-218). IEEE.

Mansur, A. F. U., Gomes, S. S., Lopes, A. D. A., & Biazus, M. C. B. (2010, August). Novos rumos para a Informática na Educação pelo uso da Computação em Nuvem (Cloud Education): Um estudo de Caso do Google Apps. In Foz do Iguaçu: Anais do XVI Congresso Internacional ABED de Educação a Distância (p. 35). sn.

Maron, C. A., Griebler, D., Vogel, A., & Schepke, C. (2014). Avaliaç ao e Comparaç ao do Desempenho das Ferramentas OpenStack e OpenNebula. 12th Escola Regional de Redes de Computadores (ERRC), 1-5.

Matos, M. A. (1995). Manual operacional para a regressão linear. Faculdade de Engenharia da Universidade do Porto, 63.

Melo Filho, I. J., Carvalho, R. S., Gomes, A. S., da Rocha Perris, P. A., Rodrigues, R. L., & de Oliveira Feliciano, F. D. (2014). Análise comparativa da usabilidade dos ambientes de gestão da aprendizagem Amadeus e Moodle. Revista Brasileira de Informática na Educação, 22(01), 107.

Mendonça Neto, J. R. D. (2015). Modelagem e análise de desempenho e consumo de energia em aplicações móveis (Master's thesis, Universidade Federal de Pernambuco).

Merlin, P., & Farber, D. (1976). Recoverability of communication protocols-implications of a theoretical study. IEEE transactions on Communications, 24(9), 1036-1043.

Moodle. (2020). moodle.org. https://moodle.org/

Murata, T. (1989). Petri nets: Properties, analysis and applications. Proceedings of the IEEE, 77(4), 541-580.

Nist. (2014). Nist cloud computing program. http://www.nsti.gov/itl/cloud/index.cfm

Pauro, L. L. (2016). Auditoria e monitoramento de eventos inconsistentes em instâncias de máquinas virtuais em IaaS no Orquestrador Apache CloudStack.

Peixoto, M. L. M. (2012). Oferecimento de QoS para computação em nuvens por meio de metaescalonamento (Doctoral dissertation, Universidade de São Paulo).

Petri, C. A. (1962). Kommunikation mit automaten.

Rakic, S., Pavlovic, M., Softic, S., Lalic, B., & Marjanovic, U. (2019, November). An evaluation of student performance at e-learning platform. In 2019 17th International Conference on Emerging eLearning Technologies and Applications (ICETA) (pp. 681-686). IEEE.

Ratna, A. A. P., Wirianata, T., Ekadiyanto, F. A., Ibrahim, I., Husna, D., & Purnamasari, P. D. (2017, November). Cloud computing network design for high performance computing implementation on openstack platform. In Proceedings of the 3rd International Conference on Communication and Information Processing (pp. 356-360).

Sabharwal, N., & Shankar, R. (2013). Apache CloudStack cloud computing: leverage the power of CloudStack and learn to extend the CloudStack environment. Packt Publ..

Silva, S. (2012). Acessibilidade digital em ambientes virtuais de aprendizagem. Revista GEINTEC-Gestão, Inovação e Tecnologias, 2(3), 245-254.

Sousa, E., Lins, F., Tavares, E., & Maciel, P. (2017). Cloud infrastructure planning considering different redundancy mechanisms. Computing, 99(9), 841-864.

SOUSA, E. T. G. D. (2015). Modelagem de desempenho, dependabilidade e custo para o planejamento de infraestruturas de nuvens privadas.

Torres, E., Callou, G., Alves, G., Accioly, J., & Gustavo, H. (2016, October). Storage services in private clouds: Analysis, performance and availability modeling. In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 003288-003293). IEEE.

Torres, E., Callou, G., & Andrade, E. (2018). A hierarchical approach for availability and performance analysis of private cloud storage services. Computing, 100(6), 621-644. https://doi.org/10.1007/s00607-018-0588-7

Vogel, A., Griebler, D., Maron, C. A., Schepke, C., & Fernandes, L. G. (2016, February). Private IaaS clouds: a comparative analysis of OpenNebula, CloudStack and OpenStack. In 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) (pp. 672-679). IEEE.

Vogel, A., Griebler, D., Schepke, C., & Fernandes, L. G. (2017, March). An intra-cloud networking performance evaluation on cloudstack environment. In 2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP) (pp. 468-472). IEEE.

Vogel, A., Griebler, D., Maron, C. A., Schepke, C., & Fernandes, L. G. (2016, February). Private IaaS clouds: a comparative analysis of OpenNebula, CloudStack and OpenStack. In 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) (pp. 672-679). IEEE.

Wang, Q., Xu, P., Zhang, Y., & Chu, X. (2017, May). EPPMiner: An extended benchmark suite for energy, power and performance characterization of heterogeneous architecture. In Proceedings of the Eighth International Conference on Future Energy Systems (pp. 23-33).

Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: state-of-the-art and research challenges. Journal of internet services and applications, 1(1), 7-18.

Zota, R., & PETRE, I. A. (2014). An Overview of the Most Important Reference Architectures for Cloud Computing. Informatica Economica, 18(4).

Published

16/05/2021

How to Cite

LIMA, C. J. de; SILVA, A. V. G. da; ANDRADE, E. C. de; CALLOU, G. R. de A. . Performance and power consumption evaluation of the MOODLE environment. Research, Society and Development, [S. l.], v. 10, n. 5, p. e57010515191, 2021. DOI: 10.33448/rsd-v10i5.15191. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/15191. Acesso em: 22 dec. 2024.

Issue

Section

Exact and Earth Sciences