Elektrotehničko i računarsko inženjerstvo
God. 38 Br. 07 (2023): Zbornik radova Fakulteta tehničkih nauka
МИКРОСЕРВИСНО РЕШЕЊЕ ЗА ПРЕДВИЂАЊЕ ПОТРОШЊЕ ЕЛЕКТРИЧНЕ ЕНЕРГИЈЕ У CLOUD ОКРУЖЕЊУ
Apstrakt
Opis, analiza i prikaz rezultata vremena izvršavanja treninga modela mačinskog učenja i predviđanja potrošnje električne energije. Prikazani rezultati vremena izvršavanja su testirani na različitim cloud computing platformama koje se zasnivaju na PaaS modelu Cloud computing-a.
Reference
[1] S. Nagaprasad, A. VinayaBabu, K. Madhukar, D. Marlene G Verghese, V. Mallaiah and A. Sreelatha, “Reviewing some platforms in cloud computing”, International Journal of Engineering and Technology, vol. 2, no.5, pp. 348-353, 2010.
[2] S. Bradshaw, C. Millard, and I. Walden, “Contracts for clouds: Comparison and analysis of the terms and conditions of cloud computing services”, International Journal of Law and Information Technology, vol. 19, no. 3, pp. 187–223, 2011.
[3] S. Bhardwaj, L. Jain, and S. Jain, “Cloud computing: A study of infrastructure as a service (IAAS)” International Journal of engineering and information Technology, vol. 2, no. 1, pp. 60-63, 2010.
[4] K. Gurudatt, P. Khatawkar, and J. Gambhir. “Cloud computing-platform as service”, International Journal of Engineering, vol. 1, 2011.
[5] EdPrice-MSFT, “Microservice architecture style - azure architecture center,” Azure Architecture Center | Microsoft Learn. [Online]. Available: https://learn.microsoft.com/en-us/azure/architecture/guide/architecture-styles/microservices. [Accessed: 24-Oct-2022].