VNF placement for service chaining in a distributed cloud environment with multiple stakeholders

Cappanera, Paola; Paganelli, Federica; Paradiso, Francesca

doi:10.1016/j.comcom.2018.10.008

Cited by 44 publications

(24 citation statements)

References 40 publications

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“…In [15], a solution to maximize the acceptance rate of SFC requests was proposed considering as constraints the satisfaction of subscribers preferences. An ILP formulation for the optimization problem was developed by the authors as well as an algorithm to solve it in an offline and online modes.…”

Section: Other Problemsmentioning

confidence: 99%

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: Other Problemsmentioning

confidence: 99%

Service Function Chain Placement in Distributed Scenarios: A Systematic Review

et al. 2021

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“…Their objective is to reduce network resource occupation in presence of large traffic demands, however, impact of latency on placement and routing is not considered in their model. The same problem is investigated in [11] considering a network interconnecting multiple DCs instead of a WAN. Their objective is to increase service acceptance ratio, satisfying QoS requirements of users (in terms of latency and minimum guaranteed bandwidth, among others) and considering different priority levels of service requests.…”

Section: Related Workmentioning

confidence: 99%

Latency- and capacity-aware placement of chained Virtual Network Functions in FMC metro networks

Hmaity

Savi

Askari

et al. 2020

Optical Switching and Networking

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Most of today's cloud applications are delivered by Cloud Service Providers (CSPs) on top of a physical network managed by one or multiple Infrastructure Providers (InPs). This new way of delivering services is impacting InPs' revenues, as InPs are only responsible for transporting data to users. Network Function Virtualization (NFV) was proposed to help InPs gain more flexibility in provisioning new services over their networks, hence achieving lower capital and operational costs, keeping stable revenue margins, and resisting the competition of CSPs (e.g., the "Over-The-Top"players). NFV aims at moving from the traditional approach of network functions running over dedicated hardware (e.g., firewall, NAT, etc.) into virtualized software modules running on top of Commercial Off The Shelf (COTS) equipment. However, deploying NFV in an operational network requires addressing two fundamental problems. The first consists on determining the locations where Virtual Network Functions (VNFs) will be hosted (i.e., VNF placement) and the second on how to properly steer network traffic to traverse the required VNFs in the right order (i.e, routing), thus provisioning network services in the form of Service Function Chains (SFCs). In this work we try to solve both problems focusing our analysis on a metro-regional scenario, where link bandwidth and COTS node processing capacity is inherently limited and where the current trend consists on moving towards a Fixed and Mobile Convergence (FMC) network infrastructure. We propose and compare different heuristic strategies for SFC provisioning, characterized by latency and/or capacity awareness (i.e., able to best exploit latency of links and/or processing capacity of COTS nodes for an effective placement of VNFs) and by the adoption of a load balancing policy for traffic routing, with

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“…In their study, motivated by the scale, dynamics, and heterogeneity of network services in distributed cloud networks, Feng et al 30 optimized the SFC cross‐domain deployment to minimize network cost and delay. In their work, Cappanera et al 42 formulated the problem of SFC placement in distributed cloud environments with multiple stakeholders as an ILP optimization model to maximize service acceptance rate and satisfaction of subscribers' preferences while guaranteeing delay demand. In their study, by considering link delay and computational delay, Bhamare et al 43 established an ILP optimization model for the optimal SFC deployment across geographically distributed clouds to minimize inter‐cloud traffic and response time.…”

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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VNF placement for service chaining in a distributed cloud environment with multiple stakeholders

Cited by 44 publications

References 40 publications

Service Function Chain Placement in Distributed Scenarios: A Systematic Review

Service Function Chain Placement in Distributed Scenarios: A Systematic Review

Latency- and capacity-aware placement of chained Virtual Network Functions in FMC metro networks

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

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