On the Placement of VNF Managers in Large-Scale and Distributed NFV Systems

Abu-Lebdeh, Mohammad; Naboulsi, Diala; Glitho, Roch; Tchouati, Constant Wette

doi:10.1109/tnsm.2017.2730199

Cited by 43 publications

(29 citation statements)

References 29 publications

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“…(15) ensures that a link is assigned between a selected content server and the first VNF in the chain of service request f. Eq. (16) ensures that a link is assigned between each pair of VNFs in the service request f. We assume that VNFs are traversed in the same numerical order as considered in [15], therefore, in Eq. (16), VNFm+1 is the next VNF after VNFm in a set of required VNFs for service request f. Eq.…”

Section: Constraints-mentioning

confidence: 99%

Online VNF Placement and Chaining for Value-added Services in Content Delivery Networks

Jahromi

Kianpisheh

Glitho

2018

2018 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)

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Value-added Services (VASs) (e.g. dynamic site acceleration, media management) play a critical role in Content Delivery Networks (CDNs). Network Functions Virtualization (NFV) enables the agile provisioning of VASs. In NFV settings, VASs are provisioned as ordered sets of Virtual Network Functions (VNFs), forming VNF-Forwarding Graphs (VNF-FG) which are deployed in the CDN infrastructure. The CDN VAS VNF-FGs have a specific characteristic: they have one end-point (corresponding to the content server) that is unknown, prior to their placement. The proposals for CDN VAS VNF-FG placement, so far, have only considered offline placement, where the VNF-FGs are placed before end-user traffic steers into the network. However, in concrete cases, a change in service usage patterns might occur, a situation that could require a VNF-FG placement in an online manner. This paper tackles the problem of online VNF-FG placement for VASs in CDNs, taking into account the eventual reuses and migrations of already-deployed VNFs. A cost model is considered, including multiple costs; i.e. new VNF instantiations, migration, hosting and routing costs. The objective is to optimally place the VNF-FGs such that total reconfiguration costs are minimized while QoS is satisfied. An Integer Linear Programming (ILP) formulation is provided and evaluated in a small-scale scenario.

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Section: Constraints-mentioning

confidence: 99%

Online VNF Placement and Chaining for Value-added Services in Content Delivery Networks

Jahromi

Kianpisheh

Glitho

2018

2018 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)

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“…Furthermore, to the best of our knowledge, our previous work [11] is the only one that investigates the resource allocation of NFV MANO functional blocks. In that study, we propose an online algorithm to optimize the VNFM placement over a distributed NFVI.…”

Section: B Resource Allocation In Nfvmentioning

confidence: 99%

“…We enforce that capacity constraints of NFVO and VNFM by (9) and (10). Constraint (11) ensures that a VNFM is active only when it manages at least one VNF instance. Constraints (12)-(15) enforce the delay limits in the system.…”

Section: B Problem Formulationmentioning

confidence: 99%

NFV orchestrator placement for geo-distributed systems

Abu-Lebdeh

Naboulsi

Glitho

et al. 2017

2017 IEEE 16th International Symposium on Network Computing and Applications (NCA)

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Abstract-The European Telecommunications Standards Institute (ETSI) developed Network Functions Virtualization (NFV)Management and Orchestration (MANO) framework. Within that framework, NFV orchestrator (NFVO) and Virtualized Network Function (VNF) Manager (VNFM) functional blocks are responsible for managing the lifecycle of network services and their associated VNFs. However, they face significant scalability and performance challenges in large-scale and geo-distributed NFV systems. Their number and location have major implications for the number of VNFs that can be accommodated and also for the overall system performance. NFVO and VNFM placement is therefore a key challenge due to its potential impact on the system scalability and performance. In this paper, we address the placement of NFVO and VNFM in large-scale and geo-distributed NFV infrastructure. We provide an integer linear programming formulation of the problem and propose a two-step placement algorithm to solve it. We also conduct a set of experiments to evaluate the proposed algorithm.

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“…To deliver content to end users with QoE guarantees, a CDN administrator should ensure that his content is strategically placed across the globe [7], [8]. This can be done leveraging some algorithms [9]- [12] which specify the locations of VNFs running the applications, in order to achieve an improved performance with a low infrastructure cost. In this vein, some parameters are of crucial importance such as the number of VNFs, allocated virtual resources, where those VNFs are geographically located, and which VNF will serve end-users' requests.…”

Section: Introductionmentioning

confidence: 99%

“…A trade-off solution between the two conflicting objectives in terms of resource utilization and Service Level Agreement (SLA) requirements is proposed in [9] and [11]. Abu-Lebdeh et al [12] focused on the VNF placement and aimed at minimizing the operational cost without violating the performance requirements. They provided an integer linear programming formulation and proposed an algorithm to solve larger instances of placement problem with a significant reduction in the operational cost of large-scale distributed NFV deployments.…”

Section: Introductionmentioning

confidence: 99%

Optimal VNFs Placement in CDN Slicing Over Multi-Cloud Environment

Benkacem

Taleb

Bagaa

et al. 2018

IEEE J. Select. Areas Commun.

104

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This paper introduces a content delivery network as a service (CDNaaS) platform that allows dynamic deployment and life-cycle management of virtual content delivery network (CDN) slices running across multiple administrative cloud domains. The CDN slice consists of four virtual network function (VNF) types, namely virtual transcoders, virtual streamers, virtual caches, and a CDN-slice-specific Coordinator for the management of the slice resources across the involved cloud domains. To create an efficient CDN slice, the optimal placement of its composing VNFs using adequate amount of virtual resources for each VNF is of vital importance. In this vein, this paper devises mechanisms for allocating an appropriate set of VNFs for each CDN slice to meet its performance requirements and minimize as much as possible the incurred cost in terms of allocated virtual resources. A mathematical model is developed to evaluate the performance of the proposed mechanisms. We first formulate the VNF placement problem as two Linear Integer problem models, aiming at minimizing the cost and maximizing the quality of experience (QoE) of the virtual streaming service. By applying the bargaining game theory, we ensure an optimal tradeoff solution between the cost efficiency and QoE. Extensive simulations are conducted to evaluate the effectiveness of the proposed models in achieving their design objectives and encouraging results are obtained.

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On the Placement of VNF Managers in Large-Scale and Distributed NFV Systems

Cited by 43 publications

References 29 publications

Online VNF Placement and Chaining for Value-added Services in Content Delivery Networks

Online VNF Placement and Chaining for Value-added Services in Content Delivery Networks

NFV orchestrator placement for geo-distributed systems

Optimal VNFs Placement in CDN Slicing Over Multi-Cloud Environment

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