Performance evaluation and energy consumption of a virtual learning environment on private clouds

被引:1
|
作者
de Lima, Claudemir Jeremias [1 ]
Gomes da Silva, Alison Vinicius [1 ]
de Andrade, Ermeson Carneiro [1 ]
de Almeida Callou, Gustavo Rau [1 ]
机构
[1] Univ Fed Rural Pernambuco, Dept Comp, Recife, PE, Brazil
来源
REVISTA BRASILEIRA DE COMPUTACAO APLICADA | 2021年 / 13卷 / 01期
关键词
Cloud Computing; Performance Evaluation; Energy Consumption; Virtual Learning Environment;
D O I
10.5335/rbca.v13i1.11326
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Virtual Learning Environments (VLE) are increasingly present in educational institutions and represents a new resource that is able to improve the communication between students and teachers. Although these systems are not new, few studies are available for the integrated evaluation of their performance and energy consumption. Assessing the relationship between the performance and energy consumption of VLEs is essential to solving issues both in the implementation phase of a new project and in the expansion or updating of a previous existing infrastructure. Therefore, this work aims to evaluate the performance as well as the energy consumption of the MOODLE environment, a platform that supports VLEs, through two private cloud systems, Apache CloudStack and OpenStack. A methodology is proposed to allow one to conduct such experiments through measurements. A case study illustrates the applicability of the proposed methodology, assuming the Moodle configured on both Apache CloudStack and OpenStack. The results revealed the performance, and also the energy consumption, are different between the two systems, where OpenStack showed a higher energy consumption when compared to Apache CloudStack due to its higher demands on response time.
引用
收藏
页码:88 / 97
页数:10
相关论文
共 50 条
  • [1] Evaluation of Virtual Learning Environment Characteristics in Learning Performance
    Wijesooriya, Chinthake
    Heales, Jon
    Rohde, Fiona
    2019 10TH INTERNATIONAL CONFERENCE ON E-EDUCATION, E-BUSINESS, E-MANAGEMENT AND E-LEARNING (IC4E 2019), 2019, : 259 - 263
  • [2] Performance Evaluation of Virtual Private Network Protocols in Windows 2003 Environment
    Narayan, Shaneel
    Kolahi, Samad S.
    Brooking, Kris
    de Vere, Simon
    2008 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING, 2008, : 69 - 73
  • [3] Performance Evaluation of Private Clouds Eucalyptus versus CloudStack
    AL-Mukhtar, Mumtaz M. Ali
    Mardan, Asraa Abdulrazak Ali
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2014, 5 (05) : 108 - 117
  • [4] LEARNING A PROCEDURAL TASK IN A VIRTUAL ENVIRONMENT FOR TRAINING: EVALUATION OF PERFORMANCE AND WORKLOAD
    Ganier, Franck
    Hoareau, Charlotte
    Devillers, Frederic
    TRAVAIL HUMAIN, 2013, 76 (04): : 335 - 363
  • [5] Fuzzy Modeling to Predict Performance of Collocated Virtual Machines in Private Clouds
    Matloobi, Roozbeh
    Taheri, Javid
    Zomaya, Albert Y.
    2014 22ND INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SOFTCOM), 2014,
  • [6] Evaluation into the usability of a Virtual Learning Environment
    Cole, Ian John
    Lewis, Dina
    3rd International Conference on Education and Information Systems: Technologies and Applications, Vol 1, Proceedings, 2005, : 156 - 160
  • [7] Virtual private networks: An overview with performance evaluation
    Khanvilkar, S
    Khokhar, A
    IEEE COMMUNICATIONS MAGAZINE, 2004, 42 (10) : 146 - 154
  • [8] Evaluation of Performance, Energy Consumption and Cost for Environments Based on Containers and Virtual Machines
    Goncalves, Cleyton Ferreira
    Andrade, Ermeson
    Callou, Gustavo
    Nogueira, Bruno
    REVISTA BRASILEIRA DE COMPUTACAO APLICADA, 2021, 13 (01): : 11 - 26
  • [9] A Cost Model for IaaS Clouds Based on Virtual Machine Energy Consumption
    Mauro Hinz
    Guilherme Piegas Koslovski
    Charles C. Miers
    Laércio L. Pilla
    Maurício A. Pillon
    Journal of Grid Computing, 2018, 16 : 493 - 512
  • [10] A Cost Model for IaaS Clouds Based on Virtual Machine Energy Consumption
    Hinz, Mauro
    Koslovski, Guilherme Piegas
    Miers, Charles C.
    Pilla, Laercio L.
    Pillon, Mauricio A.
    JOURNAL OF GRID COMPUTING, 2018, 16 (03) : 493 - 512