A survey on the placement of virtual network functions

Sun, Jiaguang; Zhang, Yi; Liu, Feng; Wang, Huandong; Xu, Xiaojian; Li, Yong

doi:10.1016/j.jnca.2022.103361

Cited by 30 publications

(10 citation statements)

References 101 publications

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“…Latencies were then scaled in the range [0, 2] in line with prior studies [4], [47]. Bandwidth of each link was randomly sampled from [10,40,100] Gbps.…”

Section: Methodsmentioning

confidence: 99%

“…There has been a plethora of literature in recent years addressing the problem of VNF placement. For a comprehensive overview on the literature we refer the reader to a relevant survey [9], [10]. In this section we address only those which are most relevant.…”

Section: Related Workmentioning

confidence: 99%

“…In this section we address only those which are most relevant. Sun et al [10] classify the VNF placement problem into 4 distinct sub problems: the chaining problem computes the VNFs and outputs a service function chain (SFC) based on demand; the embedding problem uses the SFC as input and maps it to the physical links in the network subject to bandwidth resources; the placement problem allocates VNFs to the network subject to compute and network resources and the routing problem routes flows through the respective VNFs. Past literature has primarily involved: a) solving a combination of these sub problems, b) using an optimisation method, c) for a particular use case, d) optimising some metric.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

2023 13th International Workshop on Resilient Networks Design and Modeling (RNDM)

2023

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“…Latencies were then scaled in the range [0, 2] in line with prior studies [4], [47]. Bandwidth of each link was randomly sampled from [10,40,100] Gbps.…”

Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

2023 13th International Workshop on Resilient Networks Design and Modeling (RNDM)

2023

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“…Sun et al 40 have presented a high‐level review of resource allocation and VNF placement problems. There is much research work related to VNF chain placement.…”

Section: Related Workmentioning

confidence: 99%

Placement of virtual network functions for network services

Umrao

Yadav

2023

Int J Network Mgmt

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SummaryNetwork 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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“…Virtualized network functions (VNFs) have become effortlessly deployable, scalable, and orchestratable through software. The advent of NFV has provided various optimization opportunities whose effective exploitation can improve power efficiency and reduce implementation and maintenance costs [4], [5]. Optical networks, as the main TN solution for connecting DCs, have been expanded to serve inter-and intra-DC connection requests with heavy and bursty traffic streams.…”

Section: Introductionmentioning

confidence: 99%

Power-Efficient Joint Dynamic Resource Allocation in Virtualized Inter-Data Center Elastic Optical Networks

Ahmadi,

Hadi,

Reza Pakravan

2024

IEEE Access

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Network virtualization, as a key driver for revenue enhancement, is under deep exploration by the communication society. Elastic optical network is a growing inter-data center communication solution whose flexible nature facilitates commercial implementation of virtualization concepts. Flexibility and virtuality are two main pillars of efficient networking which meet in a virtualized inter-data center elastic optical network and their interwoven management can significantly reduce the power consumption of data center networks, as a significant energy-consuming contributor. An efficient resource allocation is required to harvest the expected gain of a virtualized network. We propose a power-efficient joint dynamic resource allocation scheme, which optimally allocates computation and communication resources in an inter-data center elastic optical network. The scheme incorporates the benefits of conventional offline and online resource allocation schemes and reduces the power consumption by 19% compared to its traditional counterparts while keeping the delay and service outage below their desired thresholds. The proposed scheme not only supports traffic streams with distinguished service requirements but also exploits the involved service differentiation to further improve power efficiency. Strikingly, in a typical scenario where delaysensitive and delay-tolerant services co-exist, the reduction in power consumption can be enhanced up to 50%. The efficiency is further improved for a higher number of delay-tolerant services with more relaxed delay requirement. The proposed scheme provides an intelligent compromise between service outage and service requirements under tough networking conditions such that the service requirements of the delaysensitive services are maintained for the least number of dropped bits in the delay-tolerant services.

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A survey on the placement of virtual network functions

Cited by 30 publications

References 101 publications

2023 13th International Workshop on Resilient Networks Design and Modeling (RNDM)

2023 13th International Workshop on Resilient Networks Design and Modeling (RNDM)

Placement of virtual network functions for network services

Power-Efficient Joint Dynamic Resource Allocation in Virtualized Inter-Data Center Elastic Optical Networks

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