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A proactive cloud scaling model based on fuzzy time series and SLA awareness
Názov A proactive cloud scaling model based on fuzzy time series and SLA awareness Autor Tran Dang Nguyen Giang 1972- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Nguyen Binh Minh SCOPUS RID ORCID Spoluautori Tran Nhuan Zdroj.dok. Procedia Computer Science. Vol. 108 (2017), p. 365-374 Jazyk dok. eng - angličtina Krajina GB - Veľká Británia Druh dok. rozpis článkov z periodík (rbx) Ohlasy BABU, K. R. Remesh - SAMUEL, Philip. Interference aware prediction mechanism for auto scaling in cloud. In COMPUTERS & ELECTRICAL ENGINEERING. ISSN 0045-7906, 2018, vol. 69, no., pp. 351-363. DEZHABAD, Naghmeh - SHARIFIAN, Saeed. Learning-based dynamic scalable load-balanced firewall as a service in network function-virtualized cloud computing environments. In JOURNAL OF SUPERCOMPUTING. ISSN 0920-8542, 2018, vol. 74, no. 7, pp. 3329-3358. LEZNIK, Mark - VOLPERT, Simon - GRIESINGER, Frank - SEYBOLD, Daniel - DOMASCHKA, Joerg. Done Yet? A Critical Introspective of the Cloud Management Toolbox. In 2018 IEEE INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND INNOVATION (ICE/ITMC). ISSN 2334-315X, 2018, vol., no., pp. KUMAR, K. Dinesh - UMAMAHESWARI, E. Prediction methods for effective resource provisioning in cloud computing: A survey. In MULTIAGENT AND GRID SYSTEMS. ISSN 1574-1702, 2018, vol. 14, no. 3, pp. 283-305. DINESH KUMAR, K. - UMAMAHESWARI, E. Efficient cloud Resource Scaling based on prediction approaches. In International Journal of Engineering and Technology(UAE), 2018-01-01, 7, 4.10 Special Issue 10, pp. 413-416. SIKORA, Tomasz D. - MAGOULAS, George D. Neural adaptive admission control framework: SLA-driven action termination for real-time application service management. In ENTERPRISE INFORMATION SYSTEMS. ISSN 1751-7575, 2019, vol., no., pp. 1-41. ZHENG, Tianlei - ZHENG, Xi - ZHANG, Yuqun - DENG, Yao - DONG, ErXi - ZHANG, Rui - LIU, Xiao. SmartVM: a SLA-aware microservice deployment framework. In WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS. ISSN 1386-145X, 2019, vol. 22, no. 1, pp. 275-293. VERMA, Shveta - BALA, Anju. A Review: Intelligent Load Prediction Techniques for CloudIoT. In PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON ADVANCED INFORMATICS FOR COMPUTING RESEARCH (ICAICR '19), 2019, vol., no., pp. ARIZE, Diego - NOGUEIRA RIOS, Tatiane. A comparison study on time series forecasting given smart grid load uncertainties. In Proceedings 2019 Brazilian Conference on Intelligent Systems, BRACIS 2019, 2019-10-01, pp. 257-262. YADAV, G. Hemanth Kumar - MADHAVI, K. Response time-based resource allocation according to service level agreements in cloud computing. In International Journal of Internet Technology and Secured Transactions. ISSN 1748569X, 2019-01-01, 9, 4, pp. 537-546. KUMAR, K. Dinesh - UMAMAHESWARI, E. EWPTNN: An Efficient Workload Prediction Model in Cloud Computing Using Two-Stage Neural Networks. In Procedia Computer Science, 2019-01-01, 165, pp. 151-157. SHINWARI, N.A. - SHARMA, N. Auto scalable big data as-a-service in the cloud: A literature review. In International Journal of Research and Analytical Reviews (IJRAR). E-ISSN 2348-1269, 2019, vol. 6, no. 1, pp. 20-24. SHINWARI, N.A. - SHARMA, N. Auto scalable big data as-a-service in the cloud: An empirical study. In Journal of Emerging Technologies and Innovative Research (JETIR). E-ISSN 2348-1269, 2019, vol. 6, no. 4, pp. 175-180. FERNANDEZ, I. George - RENJITH, J. Arokia. Resource allocation, scheduling and auto-scaling algorithms for enhancing the performance of cloud using Grey Wolf Optimization and Fuzzy rules. In JOURNAL OF INTELLIGENT & FUZZY SYSTEMS. ISSN 1064-1246, 2020, vol. 39, no. 5, pp. 7449-7467. NORDIN, AZRYNA AZLEN MOHD - LATIH, RODZIAH - ALI, NOORAZEAN MOHD. Using saas to enhance productivity for software developers: A systematic literature review. In Journal of Theoretical and Applied Information Technology. ISSN 19928645, 2020-12-01, 98, 24, pp. 4107-4120. PALAMARI, R.K. - SUBBURASU, R. - GUPTA, M. Utilizing machine learning to proactively scale cloud instances in a cloud computing environment. December 8, 2020, United States Patent No. 10862774B2. GOLSHANI, Ehsan - ASHTIANI, Mehrdad. Proactive auto-scaling for cloud environments using temporal convolutional neural networks. In JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING. ISSN 0743-7315, 2021, vol. 154, no., pp. 119-141. Dostupné na: https://doi.org/10.1016/j.jpdc.2021.04.006. HE, Jun - HONG, Sunyan - ZHANG, Caiqing - LIU, Yan - DENG, Fei - YU, Jing. A Method to Cloud Computing Resources Requirement Prediction on SaaS Application. In Proceedings 2021 International Conference on Machine Learning and Intelligent Systems Engineering, MLISE 2021, 2021-01-01, pp. 107-116. Dostupné na: https://doi.org/10.1109/MLISE54096.2021.00027. XIE, Jingxuan - ZHANG, Shubo - PAN, Maolin - YU, Yang. A Comprehensive Evaluation Method for Container Auto-Scaling Algorithms on Cloud. In Communications in Computer and Information Science. ISSN 18650929, 2021-01-01, 1330 CCIS, pp. 616-627. Dostupné na: https://doi.org/10.1007/978-981-16-2540-4_45. DHINGRA, Sanjay - AGARWAL, Rajesh. Factors to measure the cloud service quality – a review. In International Journal of Business Information Systems, 2022-01-01, 41, 3, pp. 289-321. ISSN 17460972. Dostupné na: https://doi.org/10.1504/ijbis.2022.126995. AGARWAL, Rajesh - DHINGRA, Sanjay. Modelling of the Cloud Service Quality Factors Using ISM. In International Journal of Cloud Applications and Computing, 2022-01-01, 12, 1, pp. ISSN 21561834. Dostupné na: https://doi.org/10.4018/IJCAC.295241. CATILLO, Marta - VILLANO, Umberto - RAK, Massimiliano. A survey on auto-scaling: how to exploit cloud elasticity. In INTERNATIONAL JOURNAL OF GRID AND UTILITY COMPUTING, 2023, vol. 14, no. 1, pp. 37-50. ISSN 1741-847X. Dostupné na: https://doi.org/10.1504/IJGUC.2023.129702. KUMARI, Priti - KAUR, Parmeet. An Adaptable Approach to Fault Tolerance in Cloud Computing. In International Journal of Performability Engineering, 2023-01-01, 19, 1, pp. 43-54. ISSN 09731318. Dostupné na: https://doi.org/10.23940/ijpe.23.01.p5.4354. SINGH, Sanjay T. - TIWARI, Mahendra - DHAR, Anchit Sajal. Machine Learning based Workload Prediction for Auto-scaling Cloud Applications. In 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development, OTCON 2022, 2023-01-01, pp. Dostupné na: https://doi.org/10.1109/OTCON56053.2023.10114033. AZIZ, S.F. - KASHMOOLA, MY. Workload forecasting methods in cloud environments: An overview. In AL-Rafidain Journal of Computer Sciences and Mathematics (RJCM). 2023, vol. 17, no. 2, pp. 29-37. doi: 10.33899/csmj.2023.181629. Kategória ADMB - Vedecké práce v zahraničných neimpaktovaných časopisoch registrovaných vo WOS Core Collection alebo SCOPUS Kategória (od 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Typ výstupu článok Rok vykazovania 2017 Registrované v WOS Registrované v SCOPUS DOI 10.1016/j.procs.2017.05.121 
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