{"title":"多层多域网络切片:一个资源分配的视角","authors":"S. Oladejo, S. Ekwe, L. Akinyemi","doi":"10.1109/africon51333.2021.9570854","DOIUrl":null,"url":null,"abstract":"This paper addresses the dynamic resource allocation in a multi-slice multi-tier multi-domain based network with different network players. The dynamic resource allocation problem is formulated as a maximum utility optimisation problem from multi-player multi-domain perspective. Furthermore, a 3-level hierarchical business model comprising infrastructure providers (InPs), mobile virtual network operators (MVNO), service providers (SP) and slice users is investigated. We propose a multi-tier multi-domain slice user matching game and a distributed backtracking multi-player multi-domain game schemes in solving the transformed maximum utility optimisation problem. We compare the multi-tier multi-tenant multi-domain game scheme with a genetic algorithm (GA) intelligent latency- aware resource allocation scheme (GI-LARE) and, a static slicing resource allocation scheme via Monte Carlo simulation. Our findings reveal that the proposed scheme outperforms these other schemes.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multi-Tier Multi-Domain Network Slicing: A Resource Allocation Perspective\",\"authors\":\"S. Oladejo, S. Ekwe, L. Akinyemi\",\"doi\":\"10.1109/africon51333.2021.9570854\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the dynamic resource allocation in a multi-slice multi-tier multi-domain based network with different network players. The dynamic resource allocation problem is formulated as a maximum utility optimisation problem from multi-player multi-domain perspective. Furthermore, a 3-level hierarchical business model comprising infrastructure providers (InPs), mobile virtual network operators (MVNO), service providers (SP) and slice users is investigated. We propose a multi-tier multi-domain slice user matching game and a distributed backtracking multi-player multi-domain game schemes in solving the transformed maximum utility optimisation problem. We compare the multi-tier multi-tenant multi-domain game scheme with a genetic algorithm (GA) intelligent latency- aware resource allocation scheme (GI-LARE) and, a static slicing resource allocation scheme via Monte Carlo simulation. Our findings reveal that the proposed scheme outperforms these other schemes.\",\"PeriodicalId\":170342,\"journal\":{\"name\":\"2021 IEEE AFRICON\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE AFRICON\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/africon51333.2021.9570854\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE AFRICON","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/africon51333.2021.9570854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Tier Multi-Domain Network Slicing: A Resource Allocation Perspective
This paper addresses the dynamic resource allocation in a multi-slice multi-tier multi-domain based network with different network players. The dynamic resource allocation problem is formulated as a maximum utility optimisation problem from multi-player multi-domain perspective. Furthermore, a 3-level hierarchical business model comprising infrastructure providers (InPs), mobile virtual network operators (MVNO), service providers (SP) and slice users is investigated. We propose a multi-tier multi-domain slice user matching game and a distributed backtracking multi-player multi-domain game schemes in solving the transformed maximum utility optimisation problem. We compare the multi-tier multi-tenant multi-domain game scheme with a genetic algorithm (GA) intelligent latency- aware resource allocation scheme (GI-LARE) and, a static slicing resource allocation scheme via Monte Carlo simulation. Our findings reveal that the proposed scheme outperforms these other schemes.