Graph model of Fog Computing system

- Ryabko, Andriy V., Zaika, Oksana V., Kukharchuk, Roman P. and Vakaliuk, Tetiana (orcid.org/0000-0001-6825-4697) (2021) Graph model of Fog Computing system Workshop on the Quantum Information Technologies + Edge Computing Workshop (2850). pp. 28-44. ISSN 1613-0073

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Abstract

The development and effective application of Fog Computing technologies require the most complex tasks related to the management and processing of huge data sets, including the tasks of rational construction of low-level networks that ensure the functioning of end devices within the IoT concept. The article describes the use of graph theory methods to solve such problems. The proposed graph model can provide the ability to determine the basic properties of systems, networks, and network devices within the concept of Fog Computing, the optimal characteristics, and ways to maintain them in working condition. This paper shows how to plot graphs, and then customize the display to add labels or highlighting to the graph nodes and edges of pseudo-random task graphs which can be used for evaluating Mobile Cloud, Fog and Edge computing systems. The graphs are described and visualized in Matlab code. Each task has an amount of computational work to perform, expressed in Megacycles per second. Each edge has an amount of data to transfer between tasks, expressed in kilobits or kilobytes of data. The set can be used by researchers to evaluate cloud/fog/edge computing systems and computational offloading algorithms. The task graphs can be used in single-user systems, where one mobile device accesses a remote server, or in multi user systems, where many users access a remote server through a wireless channel.

Item Type: Article
Keywords: fogging computing, multi-level graph model, Internet of Things, Fog Computing, reference architecture OpenFog, graph theory
Subjects: Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques ) > 004.93 Pattern information processing
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques ) > 004.94 Simulation
Divisions: Information Technologies and Learning Tools > Department of Open Education and Scientific Information Systems
Depositing User: співробітн Ірина Мінтій
Date Deposited: 29 Nov 2021 20:53
Last Modified: 29 Nov 2021 20:53
URI: https://lib.iitta.gov.ua/id/eprint/728619

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