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  2. Vol 5, No 6 (2021)
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Developing Methods and Algorithms for Cloud Computing Management Systems in Industrial Polymer Synthesis Processes

Eldar Miftakhov, Svetlana Mustafina, Andrey Akimov, Oleg Larin, Alexei Gorlov

Abstract


To date, the resources and computational capacity of companies have been insufficient to evaluate the technological properties of emerging products based on mathematical modelling tools. Often, several calculations have to be performed with different initial data. A remote computing system using a high-performance cluster can overcome this challenge. This study aims to develop unified methods and algorithms for a remote computing management system for modelling polymer synthesis processes at a continuous production scale. The mathematical description of the problem-solving algorithms is based on a kinetic approach to process investigation. A conceptual scheme for the proposed service can be built as a multi-level architecture with distributed layers for data storage and computation. This approach provides the basis for a unified database of laboratory and computational experiments to address and solve promising problems in the use of neural network technologies in chemical kinetics. The methods and algorithms embedded in the system eliminate the need for model description. The operation of the system was tested by simulating the simultaneous statement and computation of 15 to 30 tasks for an industrially significant polymer production process. Analysis of the time required showed a nearly 10-fold increase in the rate of operation when managing a set of similar tasks. The analysis shows that the described formulation and solution of problems is more time-efficient and provides better production modes.

 

Doi: 10.28991/esj-2021-01324

Full Text: PDF


Keywords


Cloud Computing; Modelling; Algorithm; Polymer; Network; Management Systems.

References


Pogonin, V. A. “Optimization of Chemical-Technological Processes in the Face of Uncertainty.” Journal of Engineering Science and Technology Review 13, no. 6 (December 2020): 155–158. doi:10.25103/jestr.136.21.

Podvalny, S. L. "Modeling of industrial polymerization processes." Chemistry, Moscow, Russia (1979).

De Pablo, Juan J., Barbara Jones, Cora Lind Kovacs, Vidvuds Ozolins, and Arthur P. Ramirez. “The Materials Genome Initiative, the Interplay of Experiment, Theory and Computation.” Current Opinion in Solid State and Materials Science 18, no. 2 (April 2014): 99–117. doi:10.1016/j.cossms.2014.02.003.

Bhandayker, Yeshwanth Rao. "A Study on the Research Challenges and Trends of Cloud Computing." Research Review International Journal of Multidisciplinary 4 (2019):441-447. doi:10.5281/zenodo.2579238.

Mohammed, Chnar Mustafa, and Subhi RM Zebaree. "Sufficient comparison among cloud computing services: IaaS, PaaS, and SaaS: A review." International Journal of Science and Business 5, no. 2 (2021): 17-30.

Savu, Laura. “Cloud Computing: Deployment Models, Delivery Models, Risks and Research Challenges.” 2011 International Conference on Computer and Management (CAMAN) (May 2011). doi:10.1109/caman.2011.5778816.

Muniswamaiah, Manoj, Tilak Agerwala, and Charles Tappert. “Big Data in Cloud Computing Review and Opportunities.” International Journal of Computer Science and Information Technology 11, no. 4 (August 31, 2019): 43–57. doi:10.5121/ijcsit.2019.11404.

Zhang, Hefeng, Junpo He, Chao Zhang, Zhenhua Ju, Jia Li, and Yuliang Yang. “Continuous Process for the Synthesis of Dendrimer-Like Star Polymers by Anionic Polymerization.” Macromolecules 45, no. 2 (December 29, 2011): 828–841. doi:10.1021/ma2024039.

Usmanov, T. S., I. K. Gataullin, S. M. Usmanov, S. I. Spivak, and Yu B. Monakov. "Solution of the inverse problem on the formation of molecular-weight distributions in ionic-coordination polymerization." In Doklady Physical Chemistry, vol. 385, no. 1, pp. 181-184. Kluwer Academic Publishers-Plenum Publishers, 2002. doi: 10.1023/A:1016503721717.

Kafarov, V. V., and M. B. Glebov. "Mathematical modeling of the main processes of chemical production." Textbook for universities (1991).

Zakharov, V. P., V. Z. Mingaleev, A. A. Berlin, Nasyrov I. Sh, D. A. Zhavoronkov, and E. M. Zakharova. "Kinetic inhomogeneity of titanium and neodymium catalysts of production of 1, 4-CIS-polyisoprene." Chemical physics 34, no. 3 (2015): 69-75.

Usmanov, A. S., A. G. Yagola, and Salavat Mudarasovich Usmanov. "Inverse problems of formation for the molecular-weight distribution in polymerization processes." Numerical methods and programming 7 (2006): 294-299.

Mulholland, Andy, Jon Pyke, and Peter Fingar. Enterprise Cloud Computing: A Strategy Guide for Business and Technology Leaders. Meghan-Kiffer Press, 2010.

Thomas, Erl, Mahmood Zaigham, and Puttini Ricardo. "Cloud Computing Concepts, Technology & Architecture." (2013).

Rhoton, John. Cloud computing explained. Implementation Handbook for Enterprises 2nd ed. Edition (Recursive Press) London, (2010).

Gillespie, Daniel T. “Exact Stochastic Simulation of Coupled Chemical Reactions.” The Journal of Physical Chemistry 81, no. 25 (December 1977): 2340–2361. doi:10.1021/j100540a008.

Mikhailova, T.A., Miftakhov, E.N., & Mustafina, S.A. Simulation of copolymerization processes. In: Compositional Analysis of Polymers: An Engineering Approach. Apple Academic Press, Oakville, (2016): 265-272.

Roth, D., Fritz, J., Southwick, T., Addie, S., and Smith S. “Blazor for ASP.NET web forms developers (Microsoft Corporation)” (2021), Redmond, Washington 98052-6399.

Daly, David. “Performance Engineering and Database Development at MongoDB.” Companion of the ACM/SPEC International Conference on Performance Engineering (April 19, 2021). doi:10.1145/3447545.3451199.

Filip, Petr, and Lukas Cegan. “Comparison of MySQL and MongoDB with Focus on Performance.” 2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) (November 19, 2020). doi:10.1109/icimcis51567.2020.9354307.

Sangat, Prajwol, Maria Indrawan-Santiago, and David Taniar. “Sensor Data Management in the Cloud: Data Storage, Data Ingestion, and Data Retrieval.” Concurrency and Computation: Practice and Experience 30, no. 1 (November 2, 2017): e4354. doi:10.1002/cpe.4354.

Miftakhov, E. N., S. A. Mustafina, and S. I. Spivak. "Modelling and numerical study of the physicochemical laws of 1, 4-cis-polyisoprene obtained in the presence of modified catalytic systems." Computational Technologies, 25(3), (2020):7-17 Doi: 10.25743/ICT.2020.25.3.002.

Miftakhov, Eldar, Sofya Mustafina, Olga Medvedeva, Dmitriy Zhavoronkov, and Svetlana Mustafina. “Building a Model of the Isoprene Polymerization Process in the Presence of Microheterogeneous Neodimiumcatalytic Systems.” IOP Conference Series: Earth and Environmental Science 282, no. 1 (June 1, 2019): 012030. doi:10.1088/1755-1315/282/1/012030.

Antipina, E V, S A Mustafina, A F Antipin, and S I Mustafina. “Solving the Problem of Planning a Chemical Experiment Based on Genetic Algorithms.” Journal of Physics: Conference Series 1745, no. 1 (February 1, 2021): 012045. doi:10.1088/1742-6596/1745/1/012045.

Valim, Isabelle C., Alessandra MM Silva, Alexandre V. Grillo, and Brunno F. Santos. "Development of Mathematical Model Based on Artificial Neural Network to Predict Density in Polymerization Process of Styrene." Chemical Engineering Transactions 74 (2019): 751-756. doi: 10.3303/CET1974126.

Altarazi, Safwan, Maysa Ammouri, and Ala Hijazi. “Artificial Neural Network Modeling to Evaluate Polyvinylchloride Composites’ Properties.” Computational Materials Science 153 (October 2018): 1–9. doi:10.1016/j.commatsci.2018.06.003.


Full Text: PDF

DOI: 10.28991/esj-2021-01324

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