{"title":"实现绿色信息和通信技术的动态雾计算","authors":"A. N. Volkov","doi":"10.31854/1813-324x-2024-10-3-24-34","DOIUrl":null,"url":null,"abstract":"Relevance: In the context of the growing fleet of data center equipment, the development of IMT-2020 networks and the imminent emergence of Telepresence services of IMT-2030 networks, a particularly relevant area of modern research is the search for non-trivial, non-standard approaches and solutions in the field of provision of computing and network resources. This article covers current issues in the infrastructure direction of IMT-2030 networks - dynamic fog computing. The contribution of this technology to improve the efficiency of used resources is considered, and current scenarios for IMT-2030 networks are presented. In particular, we study the problem of searching for a group of devices in the computing fog for subsequent migration of typical FaaS platform containers. Problem statement: Research on the joint use of serverless architecture and dynamic fog computing for efficient load distribution of telepresence services. Goal of the work: Research and development of an effective method for distributing a group of microservices in dynamic fog computing. Methods: the algorithms under study belong to the type of metaheuristic algorithms for solving multicriteria optimization problems. To test the method, a laboratory network segment was developed, which served as a generator of real data on the operation of the tested platforms under conditions of increasing load. Based on a series of experiments, data was collected that formed the basis for subsequent modeling of the proposed method, which in turn was implemented in the Python programming language. Result: Analysis of the results showed the effectiveness of the proposed method within the framework of the task, which ultimately makes it possible to make a decision on migration many times faster. Novelty: A model and method for serverless architecture have been developed for migrating groups of microservices to groups of fog computing devices, under conditions of their mobility, and a meta-heuristic algorithm of a pack of gray wolves has been used to determine a group of devices for subsequent migration of typical microservices. Practical significance: The developed model and method can be used in the implementation of fog Computing, in conditions of device mobility, including in order to achieve the requirements of promising Telepresence services.","PeriodicalId":298883,"journal":{"name":"Proceedings of Telecommunication Universities","volume":"118 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic Fog Computing Towards Green ICT\",\"authors\":\"A. N. Volkov\",\"doi\":\"10.31854/1813-324x-2024-10-3-24-34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Relevance: In the context of the growing fleet of data center equipment, the development of IMT-2020 networks and the imminent emergence of Telepresence services of IMT-2030 networks, a particularly relevant area of modern research is the search for non-trivial, non-standard approaches and solutions in the field of provision of computing and network resources. This article covers current issues in the infrastructure direction of IMT-2030 networks - dynamic fog computing. The contribution of this technology to improve the efficiency of used resources is considered, and current scenarios for IMT-2030 networks are presented. In particular, we study the problem of searching for a group of devices in the computing fog for subsequent migration of typical FaaS platform containers. Problem statement: Research on the joint use of serverless architecture and dynamic fog computing for efficient load distribution of telepresence services. Goal of the work: Research and development of an effective method for distributing a group of microservices in dynamic fog computing. Methods: the algorithms under study belong to the type of metaheuristic algorithms for solving multicriteria optimization problems. To test the method, a laboratory network segment was developed, which served as a generator of real data on the operation of the tested platforms under conditions of increasing load. Based on a series of experiments, data was collected that formed the basis for subsequent modeling of the proposed method, which in turn was implemented in the Python programming language. Result: Analysis of the results showed the effectiveness of the proposed method within the framework of the task, which ultimately makes it possible to make a decision on migration many times faster. Novelty: A model and method for serverless architecture have been developed for migrating groups of microservices to groups of fog computing devices, under conditions of their mobility, and a meta-heuristic algorithm of a pack of gray wolves has been used to determine a group of devices for subsequent migration of typical microservices. Practical significance: The developed model and method can be used in the implementation of fog Computing, in conditions of device mobility, including in order to achieve the requirements of promising Telepresence services.\",\"PeriodicalId\":298883,\"journal\":{\"name\":\"Proceedings of Telecommunication Universities\",\"volume\":\"118 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Telecommunication Universities\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31854/1813-324x-2024-10-3-24-34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Telecommunication Universities","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31854/1813-324x-2024-10-3-24-34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Relevance: In the context of the growing fleet of data center equipment, the development of IMT-2020 networks and the imminent emergence of Telepresence services of IMT-2030 networks, a particularly relevant area of modern research is the search for non-trivial, non-standard approaches and solutions in the field of provision of computing and network resources. This article covers current issues in the infrastructure direction of IMT-2030 networks - dynamic fog computing. The contribution of this technology to improve the efficiency of used resources is considered, and current scenarios for IMT-2030 networks are presented. In particular, we study the problem of searching for a group of devices in the computing fog for subsequent migration of typical FaaS platform containers. Problem statement: Research on the joint use of serverless architecture and dynamic fog computing for efficient load distribution of telepresence services. Goal of the work: Research and development of an effective method for distributing a group of microservices in dynamic fog computing. Methods: the algorithms under study belong to the type of metaheuristic algorithms for solving multicriteria optimization problems. To test the method, a laboratory network segment was developed, which served as a generator of real data on the operation of the tested platforms under conditions of increasing load. Based on a series of experiments, data was collected that formed the basis for subsequent modeling of the proposed method, which in turn was implemented in the Python programming language. Result: Analysis of the results showed the effectiveness of the proposed method within the framework of the task, which ultimately makes it possible to make a decision on migration many times faster. Novelty: A model and method for serverless architecture have been developed for migrating groups of microservices to groups of fog computing devices, under conditions of their mobility, and a meta-heuristic algorithm of a pack of gray wolves has been used to determine a group of devices for subsequent migration of typical microservices. Practical significance: The developed model and method can be used in the implementation of fog Computing, in conditions of device mobility, including in order to achieve the requirements of promising Telepresence services.