An Attention Mechanism-Based Microservice Placement Scheme for On-Star Edge Computing Nodes
In the context of high-speed networks with 5G and 6G, the influx of user requests under variable usage scenarios puts great pressure on the monolithic architecture, and quality of service (QoS) is gradually not guaranteed. Placing low-coupling, high-efficiency microservices on satellite edge computi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10283821/ |
| _version_ | 1797654058075422720 |
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| author | Xiangyu Su Amr Tolba Yuxi Lu Lizhuang Tan Jian Wang Peiying Zhang |
| author_facet | Xiangyu Su Amr Tolba Yuxi Lu Lizhuang Tan Jian Wang Peiying Zhang |
| author_sort | Xiangyu Su |
| collection | DOAJ |
| description | In the context of high-speed networks with 5G and 6G, the influx of user requests under variable usage scenarios puts great pressure on the monolithic architecture, and quality of service (QoS) is gradually not guaranteed. Placing low-coupling, high-efficiency microservices on satellite edge computing nodes with wide coverage is a good solution, but the exponential increase of users and edge nodes accessing communication networks in recent years has gradually highlighted the importance of proper placement and effective management of microservices. The existing studies generally fail to achieve autonomous management of microservices in a variable and complex network environment, and the few studies on autonomous management of microservices are limited to achieving autonomous placement without constraints among microservices. The quality of service and operation cost will not be guaranteed when facing a large number of network requests at the same time. This paper addresses the much-needed problem of modeling microservice placement in satellite edge nodes as a network embedding problem and effectively captures the features that affect microservice placement performance using the attention mechanism in graph neural networks. Simulation experimental results illustrate the effectiveness of the research content of this paper for the automatic management of microservices in satellite networks, while the proposed scheme in this paper performs well in terms of success rate and the benefit-overhead ratio of microservice placement. |
| first_indexed | 2024-03-11T16:53:51Z |
| format | Article |
| id | doaj.art-e7efee9f1e1b4afc849d53e3a97d3f21 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-11T16:53:51Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e7efee9f1e1b4afc849d53e3a97d3f212023-10-20T23:00:30ZengIEEEIEEE Access2169-35362023-01-011111434111435110.1109/ACCESS.2023.332422210283821An Attention Mechanism-Based Microservice Placement Scheme for On-Star Edge Computing NodesXiangyu Su0Amr Tolba1https://orcid.org/0000-0003-3439-6413Yuxi Lu2https://orcid.org/0000-0003-1656-6490Lizhuang Tan3Jian Wang4https://orcid.org/0000-0002-4316-932XPeiying Zhang5https://orcid.org/0000-0002-0990-5581School of Information and Communications, Shenzhen Institute of Technology, Shenzhen, ChinaDepartment of Computer Science, Community College, King Saud University, Riyadh, Saudi ArabiaKey Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaCollege of Science, China University of Petroleum (East China), Qingdao, ChinaCollege of Science, China University of Petroleum (East China), Qingdao, ChinaCollege of Computer Science and Technology, Qingdao Institute of Software, China University of Petroleum (East China), Qingdao, ChinaIn the context of high-speed networks with 5G and 6G, the influx of user requests under variable usage scenarios puts great pressure on the monolithic architecture, and quality of service (QoS) is gradually not guaranteed. Placing low-coupling, high-efficiency microservices on satellite edge computing nodes with wide coverage is a good solution, but the exponential increase of users and edge nodes accessing communication networks in recent years has gradually highlighted the importance of proper placement and effective management of microservices. The existing studies generally fail to achieve autonomous management of microservices in a variable and complex network environment, and the few studies on autonomous management of microservices are limited to achieving autonomous placement without constraints among microservices. The quality of service and operation cost will not be guaranteed when facing a large number of network requests at the same time. This paper addresses the much-needed problem of modeling microservice placement in satellite edge nodes as a network embedding problem and effectively captures the features that affect microservice placement performance using the attention mechanism in graph neural networks. Simulation experimental results illustrate the effectiveness of the research content of this paper for the automatic management of microservices in satellite networks, while the proposed scheme in this paper performs well in terms of success rate and the benefit-overhead ratio of microservice placement.https://ieeexplore.ieee.org/document/10283821/Software defined networking (SDN)edge computingmicroservice management |
| spellingShingle | Xiangyu Su Amr Tolba Yuxi Lu Lizhuang Tan Jian Wang Peiying Zhang An Attention Mechanism-Based Microservice Placement Scheme for On-Star Edge Computing Nodes IEEE Access Software defined networking (SDN) edge computing microservice management |
| title | An Attention Mechanism-Based Microservice Placement Scheme for On-Star Edge Computing Nodes |
| title_full | An Attention Mechanism-Based Microservice Placement Scheme for On-Star Edge Computing Nodes |
| title_fullStr | An Attention Mechanism-Based Microservice Placement Scheme for On-Star Edge Computing Nodes |
| title_full_unstemmed | An Attention Mechanism-Based Microservice Placement Scheme for On-Star Edge Computing Nodes |
| title_short | An Attention Mechanism-Based Microservice Placement Scheme for On-Star Edge Computing Nodes |
| title_sort | attention mechanism based microservice placement scheme for on star edge computing nodes |
| topic | Software defined networking (SDN) edge computing microservice management |
| url | https://ieeexplore.ieee.org/document/10283821/ |
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