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A resource usage prediction system using functional-link and genetic algorithm neural network for multivariate cloud metrics

  1. TitleA resource usage prediction system using functional-link and genetic algorithm neural network for multivariate cloud metrics
    Author Nguyen Thieu
    Co-authors Tran Nhuan

    Nguyen Binh Minh    SCOPUS    RID    ORCID

    Nguyen Giang 1972- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID

    Source document 2018 IEEE 11th International Conference on Service Oriented Computing and Applications : Proceedings. P. 49-56. - Paris, France : IEEE, 2018 ; SOCA 2018 The 11th International Conference on Service Oriented Computing and Applications
    Languageeng - English
    CountryFR - France
    Document kindrozpis článkov z periodík (rzb)
    CitationsWAHEEB, Waddah - GHAZALI, Rozaida. A new genetically optimized tensor product functional link neural network: an application to the daily exchange rate forecasting. In EVOLUTIONARY INTELLIGENCE. ISSN 1864-5909, 2019, vol. 12, no. 4, pp. 593-608.
    DEBROY, Saptarshi - CALYAM, Prasad - MINH NGUYEN - NEUPANE, Roshan Lal - MUKHERJEE, Bidyut - EERALLA, Ajay Kumar - SALAH, Khaled. Frequency-Minimal Utility-Maximal Moving Target Defense Against DDoS in SDN-Based Systems. In IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. ISSN 1932-4537, 2020, vol. 17, no. 2, pp. 890-903.
    TORQUATO, Matheus - VIEIRA, Marco. Moving target defense in cloud computing: A systematic mapping study. In COMPUTERS & SECURITY. ISSN 0167-4048, 2020, vol. 92, no., pp.
    BELEJ, Olexander - HALKIV, Liubov. Using hybrid neural networks to detect DDOS attacks. In Proceedings of the 2020 IEEE 3rd International Conference on Data Stream Mining and Processing, DSMP 2020, 2020-08-01, pp. 61-66.
    ZHANG, Hong - HOANG NGUYEN - DIEP-ANH VU - XUAN-NAM BUI - PRADHAN, Biswajeet. Forecasting monthly copper price: A comparative study of various machine learning-based methods. In RESOURCES POLICY. ISSN 0301-4207, 2021, vol. 73, no., pp.
    ARIZA, Jorge - JIMENO, Miguel - VILLANUEVA-POLANCO, Ricardo - CAPACHO, Jose. Provisioning Computational Resources for Cloud-Based e-Learning Platforms Using Deep Learning Techniques. In IEEE ACCESS. ISSN 2169-3536, 2021, vol. 9, no., pp. 89798-89811.
    HEDHLI, Ameni - MEZNI, Haithem - BEN SAID, Lamjed. A Quantum-Inspired Neural Network Model for Predictive BPaaS Management. In DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2021, PT I. ISSN 0302-9743, 2021, vol. 12923, no., pp. 91-103. Dostupné na: https://doi.org/10.1007/978-3-030-86472-9_8.
    TAN, Jialiang - CHEN, Yu - LIU, Zhenming - REN, Bin - SONG, Shuaiwen Leon - SHEN, Xipeng - LIU, Xu. Toward efficient interactions between Python and native libraries. In ESEC/FSE 2021 Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021-08-20, pp. 1117-1128. Dostupné na: https://doi.org/10.1145/3468264.3468541.
    HEDHLI, Ameni - MEZNI, Haithem - BEN SAID, Lamjed. Predictive BPaaS management with quantum and neural computing. In JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS. ISSN 2047-7473, 2022, vol., no., pp. Dostupné na: https://doi.org/10.1002/smr.2421.
    KARAMICHAILIDOU, Despina - ALEXANDRIDIS, Alex - ANAGNOSTOPOULOS, George - SYRIOPOULOS, George - SEKKAS, Odysseas. Modeling biogas production from anaerobic wastewater treatment plants using radial basis function networks and differential evolution. In COMPUTERS & CHEMICAL ENGINEERING, 2022, vol. 157, no., pp. ISSN 0098-1354. Dostupné na: https://doi.org/10.1016/j.compchemeng.2021.107629.
    MALIK, Sania - TAHIR, Muhammad - SARDARAZ, Muhammad - ALOURANI, Abdullah. A Resource Utilization Prediction Model for Cloud Data Centers Using Evolutionary Algorithms and Machine Learning Techniques. In APPLIED SCIENCES-BASEL, 2022, vol. 12, no. 4, pp. Dostupné na: https://doi.org/10.3390/app12042160.
    HIRSCHING, Carolin - DE JONGH, Steven - ESER, Daniela - SURIYAH, Michael - LEIBFRIED, Thomas. Meta-heuristic optimization of control structure and design for MMC-HVdc applications. In ELECTRIC POWER SYSTEMS RESEARCH, 2022, vol. 213, no., pp. ISSN 0378-7796. Dostupné na: https://doi.org/10.1016/j.epsr.2022.108371.
    NGUYEN, Hoang - TINH, Nguyen Tam - TIEN, Dinh. Utilizing a Bagging Model Based on Decision Trees and k-nearest Neighbors for Predicting Slope Stability in Open Pit Mines. In Lecture Notes in Civil Engineering, 2022-01-01, 228, pp. 633-642. ISSN 23662557. Dostupné na: https://doi.org/10.1007/978-981-16-9770-8_42.
    BUI, Huan Nam - NGUYEN, Hoang - LE, Qui Thao - LE, Tuan Ngoc. Forecasting PMi2.5 emissions in open-pit minesusing a functional link neural network optimized by various optimization algorithms. In Mining Science and Technology (Russian Federation), 2022-01-01, 7, 2, pp. 111-125. Dostupné na: https://doi.org/10.17073/2500-0632-2022-2-111-125.
    TABRIZCHI, H. - RAZMARA, J. - MOSAVI, A. Thermal prediction for energy management of clouds using a hybrid model based on CNN and stacking multi-layer bi-directional LSTM. In ENERGY REPORTS. ISSN 2352-4847, DEC 2023, vol. 9, p. 2253-2268. Dostupné na: https://doi.org/10.1016/j.egyr.2023.01.032.
    CategoryADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus
    Category of document (from 2022)V3 - Vedecký výstup publikačnej činnosti z časopisu
    Type of documentčlánok
    Year2019
    Registered inWOS
    Registered inSCOPUS
    DOI 10.1109/SOCA.2018.00014
    article

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    2018
Number of the records: 1  

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