An Energy-driven Network Function Virtualization for Multi-domain Software Defined Networks

Kaur, Kuljeet; Garg, Sahil; Kaddoum, Georges; Gagnon, F.; Kumar, Neeraj; Ahmed, Syed Hassan

doi:10.1109/infcomw.2019.8845314

Cited by 22 publications

(11 citation statements)

References 19 publications

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“…The controller can replace some of the frequent rule entries under the switches. Virtualization is another method of energy saving in SDN [80][81][82][83][84][85][86]. Using virtual machine, several systems can work as a single whole system.…”

Section: Energy Consumption In Sdnmentioning

confidence: 99%

Energy Efficiency in Software Defined Networking: A Survey

Rout¹,

Sahoo

Patra

et al. 2021

SN COMPUT. SCI.

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Software defined networking has solved many challenging issues in the field of networking industry. It separates the control plane from the data forwarding plane. This makes SDN to be more powerful than traditional networking. However, energy cost enhances the overall network cost. Therefore, this issue needs to be addressed to improve design requirements and boost the networking performance. In this article, several energy efficiency techniques have been discussed. To represent it in more detail, a thematic taxonomy of energy efficiency techniques in SDN is given by considering several technical studies of the past research. These studies have been categorized into three sub categories of traffic aware model, end-host aware model and finally rule placement. These models are provided with detailed objective functions, parameters, constraints and detailed information. Furthermore, useful visions of each approach, its advantages and disadvantages and compressive analysis of energy efficiency techniques are also discussed. Finally, the paper is highlighted with the future directions for energy efficiency in SDN.

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Section: Energy Consumption In Sdnmentioning

confidence: 99%

Energy Efficiency in Software Defined Networking: A Survey

Rout¹,

Sahoo

Patra

et al. 2021

SN COMPUT. SCI.

View full text Add to dashboard Cite

show abstract

“…In their study, Xu et al 54 designed an energy aware multi‐domain SFC placement algorithm and an energy‐aware multi‐domain SFC migration algorithm, respectively, to minimize the power consumption of SFC deployment. In their work, Kaur et al 55 formulated the SFC deployment in multi‐domain SDN networks as a multi‐objective optimization model to achieve an optimal mapping of cross‐domain VNF setup and minimize the overall energy consumption. Meanwhile, the popular evolutionary optimization algorithms were employed to solve the model.…”

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, Kaur et al [32] established a multi-objective optimization model to minimize energy consumption in the multi-domain VNF deployment. Our previous work in [33] tried to minimize service cost of multi-domain NSC deployment, but ignored end-to-end delay and the operational cost.…”

Section: B Limitations Of Existing Studiesmentioning

confidence: 99%

“…Son and Buyya [36] designed a latency-aware VNF placement algorithm for time-critical applications. Although, these work in [32]- [36] focused on the multi-domain NSC deployment, the joint optimization of delay, service cost and operational cost is not considered.…”

Section: B Limitations Of Existing Studiesmentioning

confidence: 99%

Cost Efficient and Low-Latency Network Service Chain Deployment Across Multiple Domains for SDN

et al. 2019

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With the fast development of Internet, network traffic rapidly grows and the size of Internet scale gradually becomes bigger. It brings serious challenges to Network Service Chain (NSC) deployment across multiple domains which are managed by different network operators and service providers. It is difficult for each server in the multi-domain network to obtain a global topology view and available resource information of other domains. Meanwhile, there exist various operational strategies for different network operators and service providers in the multi-domain network. How to optimally deploy NSCs in a multidomain network to realize cost efficient and low latency service provisioning is challenging. To this end, in this paper, we study the problem of NSC deployment across multiple domains. Specifically, by leveraging Software Defined Networking (SDN) architecture, we present a novel service deployment framework to deploy Virtual Network Functions (VNFs) in the multi-domain network in a cost efficient and low latency method. Then, we establish a multi-objective optimization model with the target of minimizing end-to-end delay, service cost and operational cost with the constraints of resource allocation and VNF dependency relationships. Furthermore, we design a novel heuristic NSC deployment algorithm to solve the optimization model. In the proposed heuristic algorithm, VNF dependency relationship based NSC processing workflow optimization method and Dijkstra algorithm based NSC deployment adjustment method are presented to optimize delay and cost. Finally, extensive simulations demonstrate that the proposed heuristic deployment algorithm is efficient and outperforms comparison algorithms in terms of end-to-end delay, service cost and operational cost.INDEX TERMS NSC, multi-domain network, cost efficiency, low latency.

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An Energy-driven Network Function Virtualization for Multi-domain Software Defined Networks

Cited by 22 publications

References 19 publications

Energy Efficiency in Software Defined Networking: A Survey

Energy Efficiency in Software Defined Networking: A Survey

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

Cost Efficient and Low-Latency Network Service Chain Deployment Across Multiple Domains for SDN

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