Analytical Review of Methods for Constructing Fog Computing
The Internet of Things (IOT) is one of the fastest growing areas of infocommunication at the moment. IoT is widely used in many areas of human life: from security and health systems, to automation of industrial facilities and logistics management. Internet of things systems are the main motivational...
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| Format: | Article |
| Language: | Russian |
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The Fund for Promotion of Internet media, IT education, human development «League Internet Media»
2020-09-01
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| Series: | Современные информационные технологии и IT-образование |
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| Online Access: | http://sitito.cs.msu.ru/index.php/SITITO/article/view/618 |
| _version_ | 1818643841688797184 |
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| author | Olga Lodneva |
| author_facet | Olga Lodneva |
| author_sort | Olga Lodneva |
| collection | DOAJ |
| description | The Internet of Things (IOT) is one of the fastest growing areas of infocommunication at the moment. IoT is widely used in many areas of human life: from security and health systems, to automation of industrial facilities and logistics management. Internet of things systems are the main motivational aspect for the development of such areas as big data and its processing. Since IoT is a young concept, there is very little data for realistic forecasting of traffic growth in such systems and networks. IoT traffic depends on the system that generates it. Even if there is data about traffic generated by a single elementary device, it cannot be described by a strict pattern. There are no statistics on the hours of the highest load, because this traffic aggregates with other types of traffic coming from data networks. In other words, there is no simulation scenario. In order for forecasting to be possible and most accurate, it is necessary to consider how intelligent systems work in General, and how information is exchanged inside and outside of such a system. To do this, it is necessary to consider the methods of information processing used in IoT systems – these are computing, namely, fog computing that have become widespread due to the limited computing and transport resources. This study will consist of several parts, the first of which includes an analytical review of methods for constructing foggy calculations. The current work will be combined on the results of the previous study of device traffic Internet of things, which will result in a realistic model for predicting the load exerted by IoT traffic on the communication network. |
| first_indexed | 2024-12-17T00:05:22Z |
| format | Article |
| id | doaj.art-d1db13a3b0bc44eb8282d2675d170a3d |
| institution | Directory Open Access Journal |
| issn | 2411-1473 |
| language | Russian |
| last_indexed | 2024-12-17T00:05:22Z |
| publishDate | 2020-09-01 |
| publisher | The Fund for Promotion of Internet media, IT education, human development «League Internet Media» |
| record_format | Article |
| series | Современные информационные технологии и IT-образование |
| spelling | doaj.art-d1db13a3b0bc44eb8282d2675d170a3d2022-12-21T22:10:58ZrusThe Fund for Promotion of Internet media, IT education, human development «League Internet Media»Современные информационные технологии и IT-образование2411-14732020-09-0116235837010.25559/SITITO.16.202002.358-370Analytical Review of Methods for Constructing Fog ComputingOlga Lodneva0https://orcid.org/0000-0003-1362-9054Volgograd State UniversityThe Internet of Things (IOT) is one of the fastest growing areas of infocommunication at the moment. IoT is widely used in many areas of human life: from security and health systems, to automation of industrial facilities and logistics management. Internet of things systems are the main motivational aspect for the development of such areas as big data and its processing. Since IoT is a young concept, there is very little data for realistic forecasting of traffic growth in such systems and networks. IoT traffic depends on the system that generates it. Even if there is data about traffic generated by a single elementary device, it cannot be described by a strict pattern. There are no statistics on the hours of the highest load, because this traffic aggregates with other types of traffic coming from data networks. In other words, there is no simulation scenario. In order for forecasting to be possible and most accurate, it is necessary to consider how intelligent systems work in General, and how information is exchanged inside and outside of such a system. To do this, it is necessary to consider the methods of information processing used in IoT systems – these are computing, namely, fog computing that have become widespread due to the limited computing and transport resources. This study will consist of several parts, the first of which includes an analytical review of methods for constructing foggy calculations. The current work will be combined on the results of the previous study of device traffic Internet of things, which will result in a realistic model for predicting the load exerted by IoT traffic on the communication network.http://sitito.cs.msu.ru/index.php/SITITO/article/view/618internet of thingsfog computingsmart systems |
| spellingShingle | Olga Lodneva Analytical Review of Methods for Constructing Fog Computing Современные информационные технологии и IT-образование internet of things fog computing smart systems |
| title | Analytical Review of Methods for Constructing Fog Computing |
| title_full | Analytical Review of Methods for Constructing Fog Computing |
| title_fullStr | Analytical Review of Methods for Constructing Fog Computing |
| title_full_unstemmed | Analytical Review of Methods for Constructing Fog Computing |
| title_short | Analytical Review of Methods for Constructing Fog Computing |
| title_sort | analytical review of methods for constructing fog computing |
| topic | internet of things fog computing smart systems |
| url | http://sitito.cs.msu.ru/index.php/SITITO/article/view/618 |
| work_keys_str_mv | AT olgalodneva analyticalreviewofmethodsforconstructingfogcomputing |