返回
Distributed Virtual Network Embedding for Software-Defined Networks Using Multiagent Systems
DOI:10.1109/ACCESS.2021.3050922.png)
摘要
En 中文
Virtual Network Embedding (VNE), which provides methods to assign multiple Virtual Networks (VN) to a single physical Substrate Network (SN), is an important task in network virtualization. The main problem in VNE is the efficiency of assigning customers' virtual network requests to the substrate network. This problem is known to be a Non-deterministic Polynomial-time hard (NP-hard) and heuristic solutions have been developed to solve this kind of problem. The current trend toward Software-Defined Networking (SDN) has allowed new possibilities in virtual network embedding. In this work, we propose a distributed virtual network embedding for SDNs called DVSDNE using multi-agent systems. This framework could be used to run a centralized VNE algorithm in a distributed manner to scale these algorithms with respect to network size. DVSDNE uses agents to spread the load across the substrate network. Our simulation results show the effectiveness of the proposed algorithm. Results show that DVSDNE improves execution time of embedding algorithms in large scale substrate networks, while embedding results such as acceptance ratio, revenue to cost ratio, average latency to controller, and maximum latency to controller remain comparable.
Keyword:
Substrates
Control systems
Virtualization
Multi-agent systems
Task analysis
Bandwidth
Delays
Graph partitioning
multi-agent systems
network virtualization
software-defined networking (SDN)
virtual network embedding
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
AMOPE: Performance Analysis of OpenFlow Systems in Software-Defined NetworksAMOPE: 软件定义网络中OpenFlow系统的性能分析
RELATION BETWEEN SUBACUTE MYELO-OPTIC NEUROPATHY (S.M.O.N.) AND CLIOQUINOL: NATIONWIDE SURVEY
The Lancet
IF0
A Survey on Distributed Denial of Service (DDoS) Attacks in SDN and Cloud Computing EnvironmentsSDN和云计算环境下分布式拒绝服务 (DDoS) 攻击研究综述
IEEE ACCESS
IF3.6

