Autors: Zhelev, S. M., Rozeva, A. G.
Title: Using Microservices and Event Driven Architecture for Big Data Stream Processing
Keywords: Microservices, Event Driven Architecture, Big Data, Stream Processing

Abstract: Choosing the appropriate architecture for a big data project is not a straightforward task. The architect needs to have knowledge in the problem domain, future application requirements, big data technology landscape and architectural patterns. Today's dynamic business environment enforces constantly evolving big data applications, which often need to process thousands of messages per second. Solutions implementing microservices and Event Driven Architecture (EDA) could provide scalability and extensibility to the required application. The article will outline microservices and EDA challenges, advantages and potential problems concerning big data stream processing.

References

    Issue

    AIP Conference Proceedings, vol. 2172, issue 1, pp. 090010, 2019, United States, AIP Publishing LLC

    Цитирания (Citation/s):
    1. P. Wang, L. Dong, y. xu, W. Liu and N. Jing, "Clustering-Based Emotion Recognition Micro-Service Cloud Framework for Mobile Computing," in IEEE Access, vol. 8, pp. 49695-49704, 2020, doi: 10.1109/ACCESS.2020.2979898 - 2020 - в издания, индексирани в Scopus или Web of Science
    2. Staegemann, D., Volk, M., Daase, C. and Turowski, K., 2020. Discussing Relations Between Dynamic Business Environments and Big Data Analytics. Complex Systems Informatics and Modeling Quarterly, (23), pp.58-82. DOI: 10.7250/csimq.2020-23.05 - 2020 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    3. Thórisson, K.R. , Seed-Programmed Autonomous General Learning; Proceedings of the First International Workshop on Self-Supervised Learning, PMLR 131:32-61, 2020 - 2020 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    4. Utomo, Prayudi and Falahah, Falahah Conceptual Model of a Dashboard for Monitoring Microservices. EAI Endorsed Transactions on Cloud Systems, 6 (18): e5. (2020) ISSN 2410-6895 - 2020 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    5. Martins, P., Lopes, S.I., da Cruz, A.M.R., Curado, A., Towards a smart & sustainable campus: An application-oriented architecture to streamline digitization and strengthen sustainability in academia, Sustainability (Switzerland) 13(6),3189 - 2021 - в издания, индексирани в Scopus или Web of Science
    6. Staegemann, D., Volk, M., Shakir, A., Lautenschläger, E., Turowski, K., Examining the Interplay Between Big Data and Microservices – A Bibliometric Review, Complex Systems Informatics and Modeling Quarterly, No27, DOI: 10.7250/csimq.2021-27.04 - 2021 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    7. Shakir, A., Staegemann, D., Volk, M., Jamous, N., & Turowski, K. (2021). Towards a Concept for Building a Big Data Architecture with Microservices. Business Information Systems, 1, 83–94. https://doi.org/10.52825/bis.v1i.67 - 2021 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    8. Milovanović, A. Microservice architecture in E-learning. E-Business Technologies Conference Proceedings, 1(1), 105–108. Retrieved from https://ebt.rs/journals/index.php/conf-proc/article/view/81 - 2021 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    9. Kokrehel, G., Bil, V., The impact of the software architecture on the developer productivity, Pollack Periodica, 01 Nov 2021, doi.org/10.1556/606.2021.00372 - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science