An Empirical Evaluation of the Energy and Performance Overhead of Monitoring Tools on Docker-Based Systems

被引:3
|
作者
Dinga, Madalina [1 ]
Malavolta, Ivano [1 ]
Giamattei, Luca [2 ]
Guerriero, Antonio [2 ]
Pietrantuono, Roberto [2 ]
机构
[1] Vrije Univ Amsterdam, Amsterdam, Netherlands
[2] Univ Naples Federico II, Naples, Italy
关键词
D O I
10.1007/978-3-031-48421-6_13
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Context. Energy efficiency is gaining importance in the design of software systems, but is still marginally addressed in the area of microservice-based systems. Energy-related aspects often get neglected in favor of other software quality attributes, such as performance, service composition, maintainability, and security. Goal. The aim of this study is to identify, synthesize and empirically evaluate the energy and performance overhead of monitoring tools employed in the microservices and DevOps context. Method. We selected four representative monitoring tools in the microservices and DevOps context. These were evaluated via a controlled experiment on an open-source Docker-based microservice benchmark system. Results. The results highlight: i) the specific frequency and workload conditions under which energy consumption and performance metrics are impacted by the tools; ii) the differences between the tools; iii) the relation between energy and performance overhead.
引用
收藏
页码:181 / 196
页数:16
相关论文
共 50 条
  • [31] Performance Evaluation of EVM based Primary User Monitoring in Cognitive Radio Systems
    Nepal, Narayan
    Martin, Philippa
    Taylor, Desmond
    Coulson, Alan
    2021 IEEE 93RD VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-SPRING), 2021,
  • [32] Energy Analysis Methods and Tools for Modelling and Optimizing Monitoring Tyre Systems
    Bonanno, Alberto
    Bocca, Alberto
    Sabatini, Marco
    2011 DESIGN, AUTOMATION & TEST IN EUROPE (DATE), 2011, : 1121 - 1122
  • [33] Electrical energy consumption of CNC machine tools based on empirical modeling
    Zhipeng Jiang
    Dong Gao
    Yong Lu
    Linghao Kong
    Zhendong Shang
    The International Journal of Advanced Manufacturing Technology, 2019, 100 : 2255 - 2267
  • [34] Electrical energy consumption of CNC machine tools based on empirical modeling
    Jiang, Zhipeng
    Gao, Dong
    Lu, Yong
    Kong, Linghao
    Shang, Zhendong
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 100 (9-12): : 2255 - 2267
  • [35] Evaluation of Building Energy Performance Based on Settlement Scale Design Parameters Using BIM Tools
    Aydin, Mehmet Akif
    Oral, Gul Koclar
    GAZI UNIVERSITY JOURNAL OF SCIENCE, 2024, 37 (02): : 501 - 518
  • [36] District Energy Systems: Challenges and New Tools for Planning and Evaluation
    Wehkamp, Steffen
    Schmeling, Lucas
    Vorspel, Lena
    Roelcke, Fabian
    Windmeier, Kai-Lukas
    ENERGIES, 2020, 13 (11)
  • [37] MONITORING AND MODELING TOOLS FOR HIGH-PERFORMANCE DATABASE-SYSTEMS
    ALLEN, P
    CRAMB, I
    UPSTILL, C
    FUTURE GENERATION COMPUTER SYSTEMS, 1995, 11 (02) : 193 - 198
  • [38] Energy Performance Monitoring Module for Ultrasonic Oscillatory Systems
    Khmelev, Vladimir N.
    Barsukov, Roman, V
    Genne, Dmitry, V
    Ilchenko, Evgeniy, V
    2019 20TH INTERNATIONAL CONFERENCE OF YOUNG SPECIALISTS ON MICRO/NANOTECHNOLOGIES AND ELECTRON DEVICES (EDM 2019), 2019, : 208 - 211
  • [39] Performance Evaluation of Web Based Automation Testing Tools
    Angmo, Rigzin
    Sharma, Monika
    2014 5TH INTERNATIONAL CONFERENCE CONFLUENCE THE NEXT GENERATION INFORMATION TECHNOLOGY SUMMIT (CONFLUENCE), 2014, : 731 - 735
  • [40] Performance evaluation and downstream system planning based energy management in LTE systems
    Saumen Dhara
    Soumya Das
    Alok Kumar Shrivastav
    Multimedia Tools and Applications, 2024, 83 : 1787 - 1840