Resource-Efficient Virtual Network Function Placement in Operator Networks

Song, Xue; Zhang, Xiaoning; Yu, Shui; Jiao, Shundan; Xu, Zhichao

doi:10.1109/glocom.2017.8254492

Cited by 18 publications

(12 citation statements)

References 7 publications

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“…Similar to the work presented in [59], Song et al [94] presented a solution to minimize the number of CPU cores and the communication resources, in terms of link bandwidth; but in generic distributed networks. An ILP formulation was proposed to minimize the objective function considering several constraints in terms of computing resources capacity, link capacity, and order of VNFs within a SFC.…”

Section: Resource Utilizationmentioning

confidence: 99%

“…Most works that addressed the resources utilization optimization focused on links resources, but with different concerning. The work presented by Shang et al [88] focused on to minimize the maximum link load, while other focused on to minimize the bandwidth consumption [58,53,17,59,94]. Although the objective is similar (minimizing the resource consumption of the links), these different approaches result in different mathematical formulations.…”

Section: Resource Utilizationmentioning

confidence: 99%

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Service Function Chain Placement in Distributed Scenarios: A Systematic Review

et al. 2021

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The network function virtualization (NFV) paradigm is an emerging technology that provides network flexibility by allowing the allocation of network functions over commodity hardware, like legacy servers in an IT infrastructure. In comparison with traditional network functions, implemented by dedicated hardware, the use of NFV reduces the operating and capital expenses and improves service deployment. In some scenarios, a complete network service can be composed of several functions, following a specific order, known as a service function chain (SFC). SFC placement is a complex task, already proved to be NP-hard. Moreover, in highly distributed scenarios, the network performance can also be impacted by other factors, such as traffic oscillations and high delays. Therefore, a given SFC placement strategy must be carefully developed to meet the network operator service constraints. In this paper, we present a systematic review of SFC placement advances in dis-

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Section: Resource Utilizationmentioning

confidence: 99%

Section: Resource Utilizationmentioning

confidence: 99%

Service Function Chain Placement in Distributed Scenarios: A Systematic Review

et al. 2021

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“…They formulated the model as an Integer Non-Linear Programming (INLP) problem based on the latency requirements, however, under certain conditions, the delay constraints are not enough to fulfill all the needs for having a reliable SFC orchestration system; more constraints need to be considered to strength their proposal. Song et al [14] treat the problem of obtaining an optimal placement of network functions in the operators' networks. They formulated an Integer Linear Programming (ILP) problem to demonstrate the trade-off between the network cost and the computing resources cost.…”

Section: Related Workmentioning

confidence: 99%

Optimization Model for Cross-Domain Network Slices in 5G Networks

Addad

Bagaa

Taleb

et al. 2020

IEEE Trans. on Mobile Comput.

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Network Slicing (NS) is a key enabler of the upcoming 5G system and beyond, leveraging on both Network Function Virtualization (NFV) and Software Defined Networking (SDN), NS will enable a flexible deployment of Network Functions (NFs) belonging to multiple Service Function Chains (SFC) over various administrative and technological domains. Our novel architecture addresses the complexities and heterogeneities of verticals targeted by 5G systems, whereby each slice consists of a set of SFCs, and each SFCs handling specified traffic within the slice. In this paper, we propose and evaluate a MILP optimization model to solve the complexities that arise from this new environment, our proposed model enables a cost-optimal deployment of network slices allowing a mobile network operator to efficiently allocate the underlying layer resources according to its users' requirements. We also design a greedy-based heuristic to investigate the possible trade-offs between execution runtime and network slice deployment. For each network slice, the proposed solution guarantees the required delay and the bandwidth, while efficiently handling the use of both the VNF nodes and the physical nodes, reducing the service provider Operating Expenditure (OPEX).

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“…In [20] the authors consider the problem of allocating the minimum quantity of resources to perform the VNF placement in a two-level hierarchical geo-distributed infrastructure, proposing both an ILP and a Tabu Search heuristic algorithm. In [21] the usage of both computing and communication resources are balanced into a bi-objective optimization problem, which is proved to be NP-hard. The authors, propose an ILP together with a greedy heuristic: each service chain is sequentially deployed over network nodes, in such a way that the nodes causing less resource usage increment are the ones having higher probability of being chosen.…”

Section: Related Workmentioning

confidence: 99%

Availability-driven NFV orchestration

2019

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Virtual Network Functions as a Service (VNFaaS) is a promising business whose technical directions consist of providing network functions as a Service instead of delivering standalone network appliances, leveraging a virtualized environment named NFV Infrastructure (NFVI) to provide higher scalability and reduce maintenance costs. Operating the NFVI under stringent availability guarantees is fundamental to ensure the proper functioning of the VNFaaS against software attacks and failures, as well as common physical device failures. Indeed the availability of a VNFaaS relies on the failure rate of its single components, namely the physical servers, the hypervisor, the VNF software, and the communication network.In this paper, we propose a versatile orchestration model able to integrate an elastic VNF protection strategy with the goal to maximize the availability of an NFVI system serving multiple VNF demands. The elasticity derives from (i) the ability to use VNF protection only if needed, or (ii) to pass from dedicated protection scheme to shared VNF protection scheme when needed for a subset of the VNFs, (iii) to integrate traffic split and load-balancing as well as mastership role election in the orchestration decision, (iv) to adjust the placement of VNF masters and slaves based on the availability of the different system and network components involved. We propose a VNF orchestration algorithm based on Variable Neighboring Search, able to integrate both protection schemes in a scalable way and capable to scale, while outperforming standard online policies.

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Resource-Efficient Virtual Network Function Placement in Operator Networks

Cited by 18 publications

References 7 publications

Service Function Chain Placement in Distributed Scenarios: A Systematic Review

Service Function Chain Placement in Distributed Scenarios: A Systematic Review

Optimization Model for Cross-Domain Network Slices in 5G Networks

Availability-driven NFV orchestration

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