Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
Avg review time: 58 days
Avg accept to publ: 60 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

2,834,564 unique visits
1,124,312 downloads
Since November 1, 2009



Robots online now
Applebot
Googlebot
bingbot


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 3 / 2024
 
     »   Issue 2 / 2024
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  


FEATURED ARTICLE

Application of the Voltage Control Technique and MPPT of Stand-alone PV System with Storage, HIVZIEFENDIC, J., VUIC, L., LALE, S., SARIC, M.
Issue 1/2022

AbstractPlus






LATEST NEWS

2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

Read More »


    
 

  3/2024 - 3

Horizontal Scaling Implementation with Container Orchestrator. Reliability Analysis during Stress and Performance Testing

DINCA, A.-M. See more information about DINCA, A.-M. on SCOPUS See more information about DINCA, A.-M. on IEEExplore See more information about DINCA, A.-M. on Web of Science, AXINTE, S.-D. See more information about  AXINTE, S.-D. on SCOPUS See more information about  AXINTE, S.-D. on SCOPUS See more information about AXINTE, S.-D. on Web of Science, BACIVAROV, I. See more information about  BACIVAROV, I. on SCOPUS See more information about  BACIVAROV, I. on SCOPUS See more information about BACIVAROV, I. on Web of Science, PETRICA, G. See more information about PETRICA, G. on SCOPUS See more information about PETRICA, G. on SCOPUS See more information about PETRICA, G. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (2,334 KB) | Citation | Downloads: 173 | Views: 175

Author keywords
automated virtualization, container orchestrator, horizontal scaling, infrastructure reliability, performance indicators

References keywords
software(9), cloud(9), kubernetes(7), docker(6), computing(6), applications(5), technology(4), performance(4), orchestration(4), network(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2024-08-31
Volume 24, Issue 3, Year 2024, On page(s): 23 - 32
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2024.03003
Web of Science Accession Number: 001306111400003
SCOPUS ID: 85202992366

Abstract
Quick view
Full text preview
Software platforms infrastructure encompasses the collection of physical resources used concomitantly for user interactions, computational or persistence operations. Virtualization facilitates dynamic allocation of resources to a platform, while staying within the infrastructure's limits, enabling deployments of multiple environments on a server, maximizing the computational power. This paper focuses on practical applications of virtualization principles on software platforms, and the analysis of performance indicators. Section II is centered on the Docker feature that packages the source code into images, facilitating testing in local containers, preparing them for the container orchestrator, Kubernetes that designs, creates and scales infrastructure components. The platform was scaled horizontally, because this method accommodates the applications technical requirements, as stated in Section V. To identify the underlying causes of an inefficient auto-scaling infrastructure, a Fishbone analysis was conducted, followed by a novel proposal of triggering scaling operations, using AI tools that decide when to rescale an infrastructure, instead of traditional alert levels. The simple and advanced health check mechanisms are studied and implemented in Section VI, through separate APIs that validate the systems status and dependencies automatically and periodically using Docker commands, proving the misleadingness of the container for the former, demonstrating the importance of such progressive mechanisms.


References | Cited By  «-- Click to see who has cited this paper

[1] W. Lloyd, S. Ramesh, S. Chinthalapati, L. Ly, and S. Pallickara, "Serverless computing: An investigation of factors influencing microservice performance," in 2018 IEEE International Conference on Cloud Engineering (IC2E), Orlando, FL: IEEE, Apr. 2018, pp. 159-169.
[CrossRef] [Web of Science Times Cited 124] [SCOPUS Times Cited 210]


[2] A. Sharma, "An analysis of several concepts of virtualization," Samvakti Journal of Research in Information Technology, vol. 2, no. 2, pp. 133-140, Dec. 2021.
[CrossRef]


[3] I. Fontana De Nardin, R. Da Rosa Righi, T. R. Lima Lopes, C. André Da Costa, H. Y. Yeom, and H. Köstler, "On revisiting energy and performance in microservices applications: A cloud elasticity-driven approach," Parallel Computing, vol. 108, pp. 102-858, Dec. 2021.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 12]


[4] Y. Wu and H. Chen, "ABP scheduler: Speeding up service spread in docker swarm," in 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), Guangzhou: IEEE, Dec. 2017, pp. 691-698.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 9]


[5] G. Lambropoulos, S. Mitropoulos, and C. Douligeris, "Improving business performance by employing virtualization technology: A case study in the financial sector", Computers, vol. 10, no. 4, p. 52, Apr. 2021.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 9]


[6] T. Janca, "Chapter 5. Common Pitfalls," in Alice & Bob learn application security, Indianapolis: John Wiley and Sons, pp. 121-150, 2020

[7] D. Merkel, "Docker: Lightweight Linux containers for consistent development and deployment," Linux Journal, vol. 2, no. 239, p. 2, Mar. 2014

[8] R. Ziad Kamla, T. Yahiya, and N. B. Mustafa, "An implementation of software routing for building a private cloud," International Journal of Computer Network and Information Security, vol. 10, no. 3, pp. 1-7, Mar. 2018.
[CrossRef]


[9] A. Hohn, "Kubernetes primer," in The book of Kubernetes: a complete guide to container orchestration, San Francisco: No Starch Press, pp. 5-10, 2022

[10] I. M. A. Jawarneh et al., "Container orchestration engines: A thorough functional and performance comparison," in ICC 2019 - 2019 IEEE International Conference on Communications (ICC), Shanghai, China: IEEE, May 2019, pp. 1-6.
[CrossRef] [SCOPUS Times Cited 68]


[11] K. Hightower, B. Burns, and J. Beda, "Chapter 2: Creating and running containers," in Kubernetes: up and running: dive into the future of infrastructure, First edition, Sebastopol, CA: O'Reilly Media, pp. 15-18, 2022

[12] M. Lukša, "Manging the Pod lifecycle," in Kubernetes in action, Second edition, Shelter Island: Manning Publications, pp. 209-217, 2023

[13] V. Anu, K. Z. Sultana, and B. K. Samanthula, "A human error based approach to understanding programmer-induced software vulnerabilities," in 2020 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), Coimbra, Portugal: IEEE, Oct. 2020, pp. 49-54.
[CrossRef] [SCOPUS Times Cited 7]


[14] A. Hohn, "Installing Kubernetes," in The book of Kubernetes: A complete guide to container orchestration, San Francisco: No Starch Press, p. 31, 2022

[15] J. Mancebo, C. Calero, and F. Garcia, "Does maintainability relate to the energy consumption of software? A case study," Software Quality Journal, vol. 29, no. 1, pp. 101-127, Mar. 2021.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 16]


[16] S. Li, Y. Chen, N. Li, J. Su, Y. Guo, and Y. Zhao, "Long-term traffic characterization in a large-scale cellular network based on limited time series," in Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), M. K. Mohiddin, S. Chen, and S. F. EL-Zoghdy, Eds., Harbin, China: SPIE, Mar. 2022, p. 66.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]


[17] G. Sayfan, "Monitoring with the metrics server," in Mastering Kubernetes - Third Edition, 3rd edition, Packt Publishing, pp. 455-478, 2020

[18] M. Moravcik and M. Kontsek, "Overview of Docker container orchestration tools," in 2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA), Košice, Slovenia: IEEE, Nov. 2020, pp. 475-480.
[CrossRef] [SCOPUS Times Cited 19]


[19] C.-H. Huang and C.-R. Lee, "Enhancing the availability of Docker swarm using checkpoint-and-restore," in 2017 14th International Symposium on Pervasive Systems, Algorithms and Networks & 2017 11th International Conference on Frontier of Computer Science and Technology & 2017 Third International Symposium of Creative Computing (ISPAN-FCST-ISCC), Exeter: IEEE, Jun. 2017, pp. 357-362.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 11]


[20] M. T. Riaz, M. Shah Jahan, K. S. Arif, and W. Haider Butt, "Risk assessment on software development using Fishbone analysis," in 2019 International Conference on Data and Software Engineering (ICoDSE), Pontianak, Indonesia: IEEE, Nov. 2019, pp. 1-6.
[CrossRef] [SCOPUS Times Cited 7]


[21] F. Rossi, M. Nardelli, and V. Cardellini, "Horizontal and vertical scaling of container-based applications using reinforcement learning," in 2019 IEEE 12th International Conference on Cloud Computing (CLOUD), Milan, Italy: IEEE, Jul. 2019, pp. 329-338.
[CrossRef] [Web of Science Times Cited 80] [SCOPUS Times Cited 108]


[22] S. Pargaonkar, "A comprehensive research analysis of software development life cycle (SDLC) agile & waterfall model advantages, disadvantages, and application suitability in software quality engineering," International Journal of Scientific and Research Publications, vol. 13, no. 8, pp. 120-124, 24 2023.
[CrossRef]


[23] I. Papakonstantinou, S. Kalafatidis, and L. Mamatas, "A techno-economic assessment of microservices," in 2020 16th International Conference on Network and Service Management (CNSM), Izmir, Turkey: IEEE, Nov. 2020, pp. 1-5.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]


[24] Y. Al-Dhuraibi, F. Paraiso, N. Djarallah, and P. Merle, "Autonomic vertical elasticity of docker containers with ELASTICDOCKER," in 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), Honolulu, CA, USA: IEEE, Jun. 2017, pp. 472-479.
[CrossRef] [Web of Science Times Cited 97] [SCOPUS Times Cited 126]


[25] W. Yongyong, "A Docker-based operation and maintenance method for new-generation command and control systems," Journal of Physics: Conference Series, vol. 2460, no. 1, p. 012173, Apr. 2023.
[CrossRef] [SCOPUS Times Cited 2]


[26] U. Naseer, L. Niccolini, U. Pant, A. Frindell, R. Dasineni, and T. A. Benson, "Zero downtime release: Disruption-free load balancing of a multi-billion user website," in Proceedings of the Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication, Virtual Event USA: ACM, Jul. 2020, pp. 529-541.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 12]




References Weight

Web of Science® Citations for all references: 353 TCR
SCOPUS® Citations for all references: 618 TCR

Web of Science® Average Citations per reference: 13 ACR
SCOPUS® Average Citations per reference: 23 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-10-13 17:47 in 129 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: 


DNS Made Easy