Algorithms for functionalities of virtual network: a survey

被引:0
作者
Brajesh Kumar Umrao
Dharmendra Kumar Yadav
机构
[1] Motilal Nehru National Institute of Technology Allahabad,Department of Computer Science and Engineering
来源
The Journal of Supercomputing | 2021年 / 77卷
关键词
Network functions virtualization; Provisioning; Ossification; Virtual network functions; Placement; Scheduling; Migration; Chaining;
D O I
暂无
中图分类号
学科分类号
摘要
Nowadays, network functionalities are provided through dedicated hardware middleboxes. These hardware middleboxes are statically embedded with network topology to provide the network services. The types of middleboxes increase in the network, with an increased number of users and network services. The growth in multiple kinds of middleboxes creates an ossified network that is difficult for network management. Network Function Virtualization (NFV) deals with such problems by eliminating network functions from the piece of hardware and implement it as a software to execute in a commodity server. The network virtualization provides more flexibility and elasticity in the network to automatically manage and control the network functions. NFV internally implements the different algorithms to automate the on-demand service provisioning mechanism. In the service provisioning process, NFV allows to share the physical resources among the Virtual Network Functions (VNFs). In order to optimally allocate the physical resources to each VNF, there is a need to include some efficient resource sharing mechanisms in NFV infrastructure. These resource sharing mechanisms are the VNF placement, service chaining, VNFs scheduling, and VNF migration. Therefore, this survey discusses the solutions, implementation tools, and limitations with respect to these resource sharing mechanisms. Moreover, research challenges and current trends related to the resource sharing strategies are explored.
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页码:7368 / 7439
页数:71
相关论文
共 93 条
[1]  
Allybokus Z(2018)Virtual function placement for service chaining with partial orders and anti-affinity rules Networks 71 97-106
[2]  
Perrot N(2016)Orchestrating virtualized network functions IEEE Trans Netw Serv Manag 13 725-739
[3]  
Leguay J(2017)Optimal virtual network function placement in multi-cloud service function chaining architecture Comput Commun 102 1-16
[4]  
Maggi L(2017)Migration energy aware reconfigurations of virtual network function instances in nfv architectures IEEE Access 5 4927-4938
[5]  
Gourdin E(2017)An approach for service function chain routing and virtual function network instance migration in network function virtualization architectures IEEE/ACM Trans Netw 25 2008-2025
[6]  
Bari F(2018)On service-chaining strategies using virtual network functions in operator networks Comput Netw 133 1-16
[7]  
Shihabur RC(2018)Energy cost optimization in dynamic placement of virtualized network function chains IEEE Trans Netw Serv Manag 15 372-386
[8]  
Ahmed R(2017)A fix-and-optimize approach for efficient and large scale virtual network function placement and chaining Comput Commun 102 67-77
[9]  
Boutaba R(2016)A scalable algorithm for the placement of service function chains IEEE Trans Netw Serve Manag 13 533-546
[10]  
Duarte OCMB(2014)A survey of migration mechanisms of virtual machines ACM Comput Surv 46 301-3033