Configuring the structure of the serverless system for efficient data collection

Simple item page
dc.citation.epage45
dc.citation.issue1
dc.citation.journalTitleДосягнення у кібер-фізичних системах
dc.citation.spage39
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorDemidov, Oleksandr
dc.contributor.authorHonsor, Oksana
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2025-03-17T10:08:02Z
dc.date.created2024-02-27
dc.date.issued2024-02-27
dc.description.abstractDue to the constant development of information technology and the increasing volume of digital data, the concept of serverless systems has become relevant and promising in the field of software development. Serverless systems, also known as Serverless, are a new approach to deploying and managing applications. Developers can focus on developing functions without spending extra time managing servers and infrastructure. This approach is appropriate for various applications, including data processing, and is particularly useful for collecting and processing specialized data. However, there are numerous solutions and architectures available for data collection that cater to different data structures and requirements. The challenge is to select the most appropriate one and implement it for your specific use case.
dc.format.extent39-45
dc.format.pages7
dc.identifier.citationDemidov O. Configuring the structure of the serverless system for efficient data collection / Demidov Oleksandr, Honsor Oksana // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2024. — Vol 9. — No 1. — P. 39–45.
dc.identifier.citationenDemidov O. Configuring the structure of the serverless system for efficient data collection / Demidov Oleksandr, Honsor Oksana // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2024. — Vol 9. — No 1. — P. 39–45.
dc.identifier.doidoi.org/10.23939/acps2024.01.039
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/64190
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofДосягнення у кібер-фізичних системах, 1 (9), 2024
dc.relation.ispartofAdvances in Cyber-Physical Systems, 1 (9), 2024
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dc.relation.referencesen[1] Müller, I., Marroquín, R., Koutsoukos, D., Wawrzoniak, M., Akhadov, S., Alonso, G. (2020). The collection Virtual Machine: An abstraction for multi-frontend multibackend data analysis. Proceedings of the 16th International Workshop on Data Management on New Hardware, DaMoN‘20. DOI: 10.1145/3399666.3399911
dc.relation.referencesen[2] Yuji Roh, Geon Heo, Steven Euijong Whang (2019). A Survey on Data Collection for Machine Learning: A Big Data – AI Integration Perspective. IEEE Transactions on Knowledge and Data Engineering, Vol. 33, pp. 1328–1347. DOI: https://doi.org/10.1109/TKDE.2019.2946162
dc.relation.referencesen[3] MN Sarkies, KA Bowles, EH Skinner (2016). Data collection methods in health services research. Applied Clinical Informatics. 6(1). pp. 96–109. DOI: https://doi.org/10.4338/ACI-2014-10-RA-0097
dc.relation.referencesen[4] Sam Newman, Building Microservices: Designing FineGrained Systems. 1st Edition, O’Reilly, 2015, 250 p.
dc.relation.referencesen[5] R. Arokia Paul Rajan (2018). Serverless architecture – a revolution in cloud computing. Tenth International Conference on Advanced Computing (ICoAC). 23 December 2019. DOI: https://doi.org/10.1109/ICoAC44903.2018.8939081
dc.relation.referencesen[6] Sebastian Lehrig, Hendrik Eikerling, Steffen Becker (2015). Scalability, elasticity, and efficiency in cloud computing: a systematic literature review of definitions and metrics. QoSA '15: Proceedings of the 11th International ACM SIGSOFT Conference on Quality of Software Architectures. 4 May 2015. DOI: https://doi.org/10.1145/2737182.2737185
dc.relation.referencesen[7] H. M. Khan, A. Khan, F. Jabeen, A. Anjum, G. Jeon (2021). Fog-enabled secure multiparty computation-based aggregation scheme in smart grid. Computers & Electrical Engineering, Vol. 94, 107358. DOI: https://doi.org/10.1016/j.compeleceng.2021.107358.
dc.relation.referencesen[8] Maricela-Georgiana Avram (2014). Advantages and challenges of adopting Cloud Computing from an Enterprise Perspective. 15 January 2014. DOI: https://doi.org/10.1016/j.protcy.2013.12.525
dc.relation.referencesen[9] Mazhar Ali, Samee U. Khan, Athanasios V. Vasilakos (2015). Security in cloud computing: Opportunities and challenges. Information Sciences, 305, pp. 357–383. DOI: https://doi.org/10.1016/j.ins.2015.01.025
dc.relation.referencesen[10] Gibeon Aquino, Rafael Queiroz, Geoff Merrett & Bashir Al-Hashimi (2019). The circuit breaker pattern targeted to future IoT applications. Part of the Lecture Notes in Computer Science book series (LNPSE, volume 11895). pp. 390–396. DOI: https://doi.org/10.1007/978-3-030-33702-5_30
dc.relation.referencesen[11] Binbin Song, Yao Yu, Yu Zhou, Ziqiang Wang & Sidan Du (2018). Host load prediction with long short-term memory in cloud computing. The Journal of Supercomputing, Vol. 74(12), pp. 6554–6568. DOI: https://doi.org/10.1007/s11227-017-2044-4
dc.relation.referencesen[12] Joel Gibson, Robin Rondeau, Darren Eveleigh, Qing Tan (2016). Benefits and challenges of three cloud computing service models. Fourth International Conference on Computational Aspects of Social Networks (CASoN). 15 January 2016. DOI: https://doi.org/10.1109/CASoN.2012.6412402
dc.relation.referencesen[13] Sourav Mukherjee (2019). Benefits of AWS in modern cloud. 7 March 2019. DOI: https://doi.org/10.48550/arXiv.1903.03219
dc.relation.referencesen[14] Andreas Wittig, Michael Wittig (2022). Amazon Web Services in Action, Third Edition: An In-depth Guide to AWS. May 2022. ISBN: 163343916X
dc.relation.referencesen[15] Sajee Mathew (2014). Overview of Amazon Web Services. Whitepaper, pp. 25–58. November 2014. Available from: https://www.sysfore.com/Assets/PDF/awsoverview.pdf
dc.relation.referencesen[16] Fabrizio Montesi, Janine Weber (2016). Circuit Breakers, Discovery, and API Gateways in Microservices. DOI: https://doi.org/10.48550/arXiv.1609.05830
dc.relation.referencesen[17] Duc Minh Le, Duc-Hanh Dang, Viet-Ha Nguyen (2018). On domain driven design using annotation-based domain specific language. Computer Languages, Systems & Structures, Vol. 54. pp. 199–235. DOI: https://doi.org/10.1016/j.cl.2018.05.001
dc.relation.urihttps://doi.org/10.1109/TKDE.2019.2946162
dc.relation.urihttps://doi.org/10.4338/ACI-2014-10-RA-0097
dc.relation.urihttps://doi.org/10.1109/ICoAC44903.2018.8939081
dc.relation.urihttps://doi.org/10.1145/2737182.2737185
dc.relation.urihttps://doi.org/10.1016/j.compeleceng.2021.107358
dc.relation.urihttps://doi.org/10.1016/j.protcy.2013.12.525
dc.relation.urihttps://doi.org/10.1016/j.ins.2015.01.025
dc.relation.urihttps://doi.org/10.1007/978-3-030-33702-5_30
dc.relation.urihttps://doi.org/10.1007/s11227-017-2044-4
dc.relation.urihttps://doi.org/10.1109/CASoN.2012.6412402
dc.relation.urihttps://doi.org/10.48550/arXiv.1903.03219
dc.relation.urihttps://www.sysfore.com/Assets/PDF/awsoverview.pdf
dc.relation.urihttps://doi.org/10.48550/arXiv.1609.05830
dc.relation.urihttps://doi.org/10.1016/j.cl.2018.05.001
dc.rights.holder© Національний університет “Львівська політехніка”, 2024
dc.rights.holder© Demidov O., Honsor O., 2024
dc.subjectData-collecting
dc.subjectServerless systems
dc.subjectAWS
dc.subjectCloud
dc.subjectArchitecture
dc.titleConfiguring the structure of the serverless system for efficient data collection
dc.typeArticle

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Advances In Cyber-Physical Systems. – 2024. – Vol. 9, No. 1