IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v13y2021i4p83-d523364.html
   My bibliography  Save this article

Simulating and Evaluating a Real-World ElasticSearch System Using the RECAP DES Simulator

Author

Listed:
  • Malika Bendechache

    (School of Computing, Dublin City University, Dublin 9, Ireland)

  • Sergej Svorobej

    (School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland)

  • Patricia Takako Endo

    (Caruaru Campus, Universidade de Pernambuco, Recife 50050-240, Pernambuco, Brazil)

  • Adrian Mihai

    (Opening.io Company, Dublin 2, Ireland)

  • Theo Lynn

    (Irish Institute of Digital Business, Dublin City University, Dublin 9, Ireland)

Abstract

Simulation has become an indispensable technique for modelling and evaluating the performance of large-scale systems efficiently and at a relatively low cost. ElasticSearch (ES) is one of the most popular open source large-scale distributed data indexing systems worldwide. In this paper, we use the RECAP Discrete Event Simulator (DES) simulator, an extension of CloudSimPlus, to model and evaluate the performance of a real-world cloud-based ES deployment by an Irish small and medium-sized enterprise (SME), Opening.io. Following simulation experiments that explored how much query traffic the existing Opening.io architecture could cater for before performance degradation, a revised architecture was proposed, adding a new virtual machine in order to dissolve the bottleneck. The simulation results suggest that the proposed improved architecture can handle significantly larger query traffic (about 71% more) than the current architecture used by Opening.io. The results also suggest that the RECAP DES simulator is suitable for simulating ES systems and can help companies to understand their infrastructure bottlenecks under various traffic scenarios and inform optimisation and scalability decisions.

Suggested Citation

  • Malika Bendechache & Sergej Svorobej & Patricia Takako Endo & Adrian Mihai & Theo Lynn, 2021. "Simulating and Evaluating a Real-World ElasticSearch System Using the RECAP DES Simulator," Future Internet, MDPI, vol. 13(4), pages 1-12, March.
  • Handle: RePEc:gam:jftint:v:13:y:2021:i:4:p:83-:d:523364
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/13/4/83/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/13/4/83/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sergej Svorobej & Patricia Takako Endo & Malika Bendechache & Christos Filelis-Papadopoulos & Konstantinos M. Giannoutakis & George A. Gravvanis & Dimitrios Tzovaras & James Byrne & Theo Lynn, 2019. "Simulating Fog and Edge Computing Scenarios: An Overview and Research Challenges," Future Internet, MDPI, vol. 11(3), pages 1-15, February.
    2. Vuylsteke, Alexander & Wen, Zhong & Baesens, Bart & Poelmans, Jonas, 2010. "Consumers' Search for Information on the Internet: How and Why China Differs from Western Europe," Journal of Interactive Marketing, Elsevier, vol. 24(4), pages 309-331.
    3. Sirdeshmukh, Deepak & Ahmad, Norita B. & Khan, M. Sajid & Ashill, Nicholas J., 2018. "Drivers of user loyalty intention and commitment to a search engine: An exploratory study," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 71-81.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ingo Knuth & Janina Masuhr, 2023. "Decision Drivers for Search Engine Usage – The Mediating and Moderating Role of Lock-in Effects," International Journal of Business and Management, Canadian Center of Science and Education, vol. 16(10), pages 1-86, February.
    2. Qin, Li & De-Juan-Vigaray, María D., 2021. "Social commerce: Is interpersonal trust formation similar between U.S.A. and Spain?," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    3. Ghanbarpour, Tohid & Gustafsson, Anders, 2022. "How do corporate social responsibility (CSR) and innovativeness increase financial gains? A customer perspective analysis," Journal of Business Research, Elsevier, vol. 140(C), pages 471-481.
    4. Maria Francisca Blasco Lopez & Nuria Recuero Virto & Sonia San-Martín, 2018. "Local Food Shopping: Factors Affecting Users’ Behavioural E-Loyalty," Administrative Sciences, MDPI, vol. 8(3), pages 1-20, August.
    5. Kurtmollaiev, Seidali & Lervik-Olsen, Line & Andreassen, Tor W., 2022. "Competing through innovation: Let the customer judge!," Journal of Business Research, Elsevier, vol. 153(C), pages 87-101.
    6. Ganesh Dash & Debarun Chakraborty, 2021. "Digital Transformation of Marketing Strategies during a Pandemic: Evidence from an Emerging Economy during COVID-19," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    7. Perengki Susanto & Mohammad Enamul Hoque & Verselly Nisaa & Md Asadul Islam & Yusniza Kamarulzaman, 2023. "Predicting m-Commerce Continuance Intention and Price Sensitivity in Indonesia by Integrating of Expectation-Confirmation and Post-acceptance Model," SAGE Open, , vol. 13(3), pages 21582440231, July.
    8. Yuen Yee Yen* & Wan Fahmy Wan Rasdi & Devinaga A. P. Rasiah & Suganthi A. P Ramasamy, 2018. "Key Determinants of Smart Phone Brand Loyalty," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 724-733:2.
    9. Yuting Cui & Raphael Lissillour & Juraj Chebeň & Drahoslav Lančarič & Chunlin Duan, 2022. "The position of financial prudence, social influence, and environmental satisfaction in the sustainable consumption behavioural model: Cross‐market intergenerational investigation during the Covid‐19 ," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(4), pages 996-1020, July.
    10. Muhammad Junaid & Asadullah Shaikh & Mahmood Ul Hassan & Abdullah Alghamdi & Khairan Rajab & Mana Saleh Al Reshan & Monagi Alkinani, 2021. "Smart Agriculture Cloud Using AI Based Techniques," Energies, MDPI, vol. 14(16), pages 1-15, August.
    11. Ni Wayan Masri & Jun-Jer You & Athapol Ruangkanjanases & Shih-Chih Chen, 2021. "The Effects of Customer Learning and Shopping Value on Intention Purchase and Reuse in a Digital Market: The Institutional Trust–Commitment Perspective," Sustainability, MDPI, vol. 13(8), pages 1-25, April.
    12. Yaghoub Pourasad & Fausto Cavallaro, 2021. "A Novel Image Processing Approach to Enhancement and Compression of X-ray Images," IJERPH, MDPI, vol. 18(13), pages 1-15, June.
    13. Aksoy, Lerzan & Buoye, Alexander & Aksoy, Pelin & Larivière, Bart & Keiningham, Timothy L., 2013. "A Cross-national Investigation of the Satisfaction and Loyalty Linkage for Mobile Telecommunications Services across Eight Countries," Journal of Interactive Marketing, Elsevier, vol. 27(1), pages 74-82.
    14. Abderahman Rejeb & John G. Keogh & Horst Treiblmaier, 2019. "Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management," Future Internet, MDPI, vol. 11(7), pages 1-22, July.
    15. Bhatnagar, Amit & Papatla, Purushottam, 2019. "Do habits influence the types of information that smartphone shoppers seek?," Journal of Business Research, Elsevier, vol. 94(C), pages 89-98.
    16. Schröder, Nadine & Falke, Andreas & Hruschka, Harald & Reutterer, Thomas, 2019. "Analyzing the Browsing Basket: A Latent Interests-Based Segmentation Tool," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 181-197.
    17. Majid Ashouri & Fabian Lorig & Paul Davidsson & Romina Spalazzese, 2019. "Edge Computing Simulators for IoT System Design: An Analysis of Qualities and Metrics," Future Internet, MDPI, vol. 11(11), pages 1-12, November.
    18. Leonhardt, James M. & Pezzuti, Todd & Namkoong, Jae-Eun, 2020. "We’re not so different: Collectivism increases perceived homophily, trust, and seeking user-generated product information," Journal of Business Research, Elsevier, vol. 112(C), pages 160-169.
    19. Spiridoula V. Margariti & Vassilios V. Dimakopoulos & Georgios Tsoumanis, 2020. "Modeling and Simulation Tools for Fog Computing—A Comprehensive Survey from a Cost Perspective," Future Internet, MDPI, vol. 12(5), pages 1-20, May.
    20. Intaka Piriyakul & Shawanluck Kunathikornkit & Montree Piriyakul & Rapepun Piriyakul, 2022. "Facial Skincare Journey: Consumer Needs Identification to Enhance Online Marketing," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 13(1), pages 1-19, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:13:y:2021:i:4:p:83-:d:523364. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.