{"title":"计算优先网络中基于游戏的网络切片和资源调度","authors":"Zitong Wang, Deze Zeng, Lin Gu, Song Guo","doi":"10.1109/GLOBECOM42002.2020.9348177","DOIUrl":null,"url":null,"abstract":"Compute First Networking (CFN) recently is proposed as an in-network computing paradigm for well balancing between the networking and computation resource scheduling. Thanks to the proliferation of network functions virtualization, the virtualized network functions can coexist with the computing services on a shared platform like edge computing environment. Thus, one critical issue incurred by CFN is how to manage and schedule the resources among various services from different over-the-top service provider (OSP) with different resource requirements, i.e., network slicing. In this paper, we first formulate the network slicing problem as a Stackelberg game problem and prove that there exists a Nash equilibrium beneficial to both the Network Slice Broker (NSB) and OSP. Furthermore, we propose a cooperative game model on the networking and computation resource allocation within each slice and invent a Nash bargaining solution to resolve the intra-slice resource competition for slice performance promotion. Simulation results are provided to validate the effectiveness and high efficiency of the our proposed game based network slicing and resource scheduling algorithm.","PeriodicalId":12759,"journal":{"name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","volume":"19 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Game-based Network Slicing and Resource Scheduling for Compute First Networking\",\"authors\":\"Zitong Wang, Deze Zeng, Lin Gu, Song Guo\",\"doi\":\"10.1109/GLOBECOM42002.2020.9348177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Compute First Networking (CFN) recently is proposed as an in-network computing paradigm for well balancing between the networking and computation resource scheduling. Thanks to the proliferation of network functions virtualization, the virtualized network functions can coexist with the computing services on a shared platform like edge computing environment. Thus, one critical issue incurred by CFN is how to manage and schedule the resources among various services from different over-the-top service provider (OSP) with different resource requirements, i.e., network slicing. In this paper, we first formulate the network slicing problem as a Stackelberg game problem and prove that there exists a Nash equilibrium beneficial to both the Network Slice Broker (NSB) and OSP. Furthermore, we propose a cooperative game model on the networking and computation resource allocation within each slice and invent a Nash bargaining solution to resolve the intra-slice resource competition for slice performance promotion. Simulation results are provided to validate the effectiveness and high efficiency of the our proposed game based network slicing and resource scheduling algorithm.\",\"PeriodicalId\":12759,\"journal\":{\"name\":\"GLOBECOM 2020 - 2020 IEEE Global Communications Conference\",\"volume\":\"19 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"GLOBECOM 2020 - 2020 IEEE Global Communications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GLOBECOM42002.2020.9348177\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOBECOM42002.2020.9348177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
计算优先网络(CFN)是最近提出的一种网络内计算模式,可以很好地平衡网络和计算资源调度之间的关系。由于网络功能虚拟化的普及,虚拟化的网络功能可以与计算服务在边缘计算环境等共享平台上共存。因此,CFN产生的一个关键问题是如何管理和调度来自具有不同资源需求的不同over- top service provider (OSP)的各种服务之间的资源,即网络切片。本文首先将网络切片问题表述为一个Stackelberg博弈问题,并证明存在一个对网络切片代理(NSB)和OSP都有利的纳什均衡。在此基础上,提出了一种基于网络和计算资源分配的合作博弈模型,并提出了一种纳什议价解决方案,以解决分片内资源竞争对分片性能提升的影响。仿真结果验证了本文提出的基于游戏的网络切片和资源调度算法的有效性和高效性。
A Game-based Network Slicing and Resource Scheduling for Compute First Networking
Compute First Networking (CFN) recently is proposed as an in-network computing paradigm for well balancing between the networking and computation resource scheduling. Thanks to the proliferation of network functions virtualization, the virtualized network functions can coexist with the computing services on a shared platform like edge computing environment. Thus, one critical issue incurred by CFN is how to manage and schedule the resources among various services from different over-the-top service provider (OSP) with different resource requirements, i.e., network slicing. In this paper, we first formulate the network slicing problem as a Stackelberg game problem and prove that there exists a Nash equilibrium beneficial to both the Network Slice Broker (NSB) and OSP. Furthermore, we propose a cooperative game model on the networking and computation resource allocation within each slice and invent a Nash bargaining solution to resolve the intra-slice resource competition for slice performance promotion. Simulation results are provided to validate the effectiveness and high efficiency of the our proposed game based network slicing and resource scheduling algorithm.