Availability and Reliability of Core Networks (4G/5G) From a Deployment Standpoint

IF 5.8 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Services Computing Pub Date : 2025-01-10 DOI:10.1109/TSC.2025.3528332
Priyatosh Mandal
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Abstract

4G LTE core networks or service based 5G core networks may be created as a set of virtual network functions (VNFs) i.e., network service (NS). The NS can be deployed with the use of cloud computing platform. A virtual machine (VM) with specialized software is denoted as VNF. In this present work, via mathematical modelling, we derive the NS availability considering the placement of core network nodes in a single virtual machine (SVM) as well as in multiple virtual machines (MVM). We consider the failure perspective of host node, VMs, and core network nodes in the availability analysis. We also look at NS reliability in terms of the placement of VNFs of NS in SVM as well as in MVM. After that, we examine the availability and reliability of SVM based NS and MVM based NS. Then, we compare the availability as well as the reliability considering SVM based NS and MVM based NS. Comparison results show that an SVM based NS deployment can lead to a more than 14% gain in availability and more than 100% gain in reliability with respect to an MVM based NS deployment.
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从部署角度看核心网(4G/5G)的可用性和可靠性
4G LTE核心网或基于业务的5G核心网可以创建为一组虚拟网络功能(vnf),即网络服务(NS)。NS可以通过云计算平台进行部署。装有专用软件的虚拟机用VNF表示。在目前的工作中,通过数学建模,我们推导了考虑在单个虚拟机(SVM)和多个虚拟机(MVM)中放置核心网络节点的NS可用性。在可用性分析中,我们考虑了主机节点、虚拟机和核心网络节点的故障角度。我们还根据SVM和MVM中NS的vnf的位置来研究NS可靠性。在此基础上,研究了基于SVM和基于MVM的SVM的可用性和可靠性。然后,我们比较了基于SVM和基于MVM的NS的可用性和可靠性。对比结果表明,与基于MVM的NS部署相比,基于SVM的NS部署可使可用性提高14%以上,可靠性提高100%以上。
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来源期刊
IEEE Transactions on Services Computing
IEEE Transactions on Services Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
11.50
自引率
6.20%
发文量
278
审稿时长
>12 weeks
期刊介绍: IEEE Transactions on Services Computing encompasses the computing and software aspects of the science and technology of services innovation research and development. It places emphasis on algorithmic, mathematical, statistical, and computational methods central to services computing. Topics covered include Service Oriented Architecture, Web Services, Business Process Integration, Solution Performance Management, and Services Operations and Management. The transactions address mathematical foundations, security, privacy, agreement, contract, discovery, negotiation, collaboration, and quality of service for web services. It also covers areas like composite web service creation, business and scientific applications, standards, utility models, business process modeling, integration, collaboration, and more in the realm of Services Computing.
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