Placement of virtual network functions for network services

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Network Management Pub Date : 2023-04-29 DOI:10.1002/nem.2232
Brajesh Kumar Umrao, Dharmendra Kumar Yadav
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Abstract

Network function virtualization (NFV) is a name of technology for replacing hardware-based network functions with software programs. Virtual network function (VNF) is a software program that replaces the hardware-based network functionality. The replacement of the hardware-based network functions (middleboxes) with software programs promises the on-demand provisioning of network functions and reduces capital and operational expenses of the network. Due to this replaced network can adapt to the different network functions. Network service providers deploy various network services with different objectives, such as reducing the network's active servers and traffic latency or network operational expenses. In this article, a VNF placement problem is studied to optimize the total operating costs of the networks. To solve the VNF placement problem, we proposed an integer linear program (ILP) model, which has been implemented using CPLEX. Although an ILP-based approach gives an optimal solution, it takes a long execution time to find the solution. Due to the long execution time, the ILP-based approach is not suitable for the real-time VNF placement problem. To address this challenge, we proposed a heuristic based on dynamic programming that performs better than the existing approaches. The simulation results of the proposed solution using real-world topologies show that the heuristic approach finds a feasible solution that is only 1 to 1.34 times far from the optimal one. Moreover, experimental results show that the proposed heuristic is 15 to 423 times faster than the ILP.

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为网络服务放置虚拟网络功能
网络功能虚拟化(Network function virtualization, NFV)是一种用软件程序代替基于硬件的网络功能的技术名称。虚拟网络功能(VNF)是一种取代基于硬件的网络功能的软件程序。用软件程序代替基于硬件的网络功能(中间盒),保证了网络功能的按需供应,降低了网络的资本和运营费用。因此,替换后的网络可以适应不同的网络功能。网络服务提供商根据不同的目标部署各种网络服务,例如减少网络的活动服务器和流量延迟或网络运营费用。为了使网络的总运行成本最优,本文研究了VNF的配置问题。为了解决VNF的放置问题,我们提出了一个整数线性规划(ILP)模型,并使用CPLEX实现了该模型。尽管基于ilp的方法提供了最佳解决方案,但需要很长的执行时间才能找到解决方案。由于执行时间长,基于ilp的方法不适合实时VNF放置问题。为了应对这一挑战,我们提出了一种基于动态规划的启发式方法,该方法的性能优于现有方法。仿真结果表明,启发式方法找到的可行解与最优解的距离只有1 ~ 1.34倍。此外,实验结果表明,该启发式算法比常规启发式算法快15 ~ 423倍。
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来源期刊
International Journal of Network Management
International Journal of Network Management COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
5.10
自引率
6.70%
发文量
25
审稿时长
>12 weeks
期刊介绍: Modern computer networks and communication systems are increasing in size, scope, and heterogeneity. The promise of a single end-to-end technology has not been realized and likely never will occur. The decreasing cost of bandwidth is increasing the possible applications of computer networks and communication systems to entirely new domains. Problems in integrating heterogeneous wired and wireless technologies, ensuring security and quality of service, and reliably operating large-scale systems including the inclusion of cloud computing have all emerged as important topics. The one constant is the need for network management. Challenges in network management have never been greater than they are today. The International Journal of Network Management is the forum for researchers, developers, and practitioners in network management to present their work to an international audience. The journal is dedicated to the dissemination of information, which will enable improved management, operation, and maintenance of computer networks and communication systems. The journal is peer reviewed and publishes original papers (both theoretical and experimental) by leading researchers, practitioners, and consultants from universities, research laboratories, and companies around the world. Issues with thematic or guest-edited special topics typically occur several times per year. Topic areas for the journal are largely defined by the taxonomy for network and service management developed by IFIP WG6.6, together with IEEE-CNOM, the IRTF-NMRG and the Emanics Network of Excellence.
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