Energy efficient network service deployment across multiple SDN domains

Zhang, Chuangchuang; Wang, Xingwei; Dong, Anwei; Zhao, Yong; He, Qiang; Huang, Min

doi:10.1016/j.comcom.2020.01.019

Cited by 25 publications

(18 citation statements)

References 29 publications

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“…A multi-domain network SFC placement problem was addressed in [120]. A framework was proposed to jointly optimize the energy consumption of servers and balance the load.…”

Section: Multi-objectivementioning

confidence: 99%

“…Most of the papers (35 out of 60) considered different network topologies based on the different worldwide ISPs [64,110,88,34,62,53,54,14,13,29,112,58,101,73,15,116,60,109,78,30,116,89,94,17,106,122,115,65,37,20,36,117,10,120,59]. In this context, we can highlight applications considering the network topologies of China's Telecom [14], USNET [94,115,122,29], NSFNET [94,115,122,73,116,54,112,29], The German backbone network [110,…”

Section: Scenariosmentioning

confidence: 99%

“…Reference Description Energy power consumption [44], [111], [92], [55], [103], [120], [106], [122], [115], [27] The energy consumption of the proposed solution was used as an evaluation metric.…”

Section: Metricsmentioning

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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“…A multi-domain network SFC placement problem was addressed in [120]. A framework was proposed to jointly optimize the energy consumption of servers and balance the load.…”

Section: Multi-objectivementioning

confidence: 99%

Section: Scenariosmentioning

confidence: 99%

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Service Function Chain Placement in Distributed Scenarios: A Systematic Review

et al. 2021

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“…Meanwhile, the popular evolutionary optimization algorithms were employed to solve the model. In Wang et al, 56 we proposed a multi‐domain SFC deployment framework to intelligently deploy the SFC in multi‐domain networks. A multi‐objective optimization model was established to achieve the minimization of energy consumption and load balancing degree of multi‐domain networks, and a heuristic multi‐domain SFC deployment algorithm was proposed to solve it.…”

Section: The State Of the Art Of Multi‐domain Sfc Deploymentmentioning

confidence: 99%

The intelligent multi‐domain service function chain deployment: Architecture, challenges and solutions

Zhang

Wang

Dong

et al. 2020

Int J Communication

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Network function virtualization (NFV) technology achieves flexible service deployment by replacing the middleboxes with virtual network functions (VNFs). In NFV, a set of VNFs are chained in a given order, called service function chain (SFC), and accordingly, data flow is steered to traverse all the VNFs in order to offer a service. With a large number of network devices and end users being connected into Internet, there is a growing demand for largescale multi-domain networks to dynamically deploy the SFC across multiple network domains, in order to support efficient service provisioning. To this end, in this paper, we first investigate the state of the art of multi-domain SFC deployment, and then propose an intelligent multi-domain SFC deployment (IMSD) architecture by leveraging software-defined networking (SDN), NFV, and deep learning technologies. Furthermore, we discuss the potential challenges to realize the IMSD and provide some promising solutions. K E Y W O R D S deep learning, multi-domain networks, SDN, SFC deployment 1 | INTRODUCTION Recently, a great variety of middleboxes have been designed to efficiently provide various network services. 1 However, the service provisioning method is not flexible and leads to large capital expenditure (CAPEX) and operational expenditure (OPEX) since the middleboxes are heavily dependent on specific hardware devices. Fortunately, the emergence of network function virtualization (NFV) technology provides a promising solution to address the issues. NFV decouples network functions from hardware devices and implements them in software, called virtual network functions (VNFs). 2,3 Unlike the middleboxes, the VNFs can be flexibly deployed in the commercial-off-the-shelf devices. NFV

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“…Moreover, even most existing works focus on single domain network, the large core backbone Internet has evolved from limited single domain network's resources to different network domains. Those multi-domain networks are managed by several operators and network infrastructure providers [2]. Therefore, multi-domain networks' efficient resources virtualization under above emergent technologies, becomes the promising solution that surpasses internet ossification and reduces global Operational Expenditures (OPEX) and Capital Expenditures (CAPEX) in the future multi-cloud industry.…”

Section: Introductionmentioning

confidence: 99%

Parallel, Proactive and Power Efficient Virtual Network Embedding in a Green and Distributed SD-ODCN Architecture

et al. 2021

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With a view to overcome internet ossification problem, various Virtual Network Embedding (VNE) approaches has been proposed in last few years. Nevertheless, most of prior approaches neglect some major operational requirements implied by the inherent virtualization platforms. In the case of SD-ODCN architecture, a crucial operational requirement instance is the ability to route application-specific flows or wavelengths dynamically and efficiently across multi-tenant network providers. With the perpetual bursting of clouds and IP traffics, efficient dynamic VNE not only consists on maximizing ISPs and cloud Service Provider (SP) revenues, but also involves a strong need to reduce carbon emissions. In this paper, we introduce a new Parallel, Proactive and Power Efficient VNE in a Green and Distributed SD-ODCN architecture. We first formulate a Mixed Integer Linear Programming (MILP) model purposing to maximize total intra Data Center (DC)' servers and inter networking resources power efficiency as a function of users' request rates. Afterward, we proposed a new green location-aware, Parallel Global resource Topology Ranking (PGTR) method, prioritizing first the greenest server and network nodes. Depending on resulted ranking process classes, a Parallel and Proactive VNE (PPVNE) is therefore proposed to effectively maximize total DC's and networking resources power efficiency. After implementing the whole proposed algorithms namely (PGTR-PPVNE) under NSFNET network topology related data, extensive simulations results proved the improvement of the proposed (PGTR-PPVNE) approach over four other benchmark methods. More precisely, the proposed (PGTR-PPVNE) achieved 6.87% decrease, 10.77% increase, 58.54 % decrease and a 1.15% increase over the proactive ACO-VNE benchmark approach, respectively in terms of total power consumption, total power efficiency, requests response times and acceptance ratio.

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Energy efficient network service deployment across multiple SDN domains

Cited by 25 publications

References 29 publications

Service Function Chain Placement in Distributed Scenarios: A Systematic Review

Service Function Chain Placement in Distributed Scenarios: A Systematic Review

The intelligent multi‐domain service function chain deployment: Architecture, challenges and solutions

Parallel, Proactive and Power Efficient Virtual Network Embedding in a Green and Distributed SD-ODCN Architecture

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