Experimental Evaluation of Orchestrating Inter-DC Quality-Enabled VNFFG Services in Packet/Flexi-Grid Optical Networks

Fichera, S.; Martínez, Ricardo; Casellas, Ramon; Martini, B.; Muñoz, Raül; Castoldi, P.; Manzalini, Antonio

doi:10.1109/ecoc.2018.8535231

Cited by 5 publications

(11 citation statements)

References 3 publications

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“…Subsequently, Casellas et al focus on the control aspects in control, management, and orchestration systems for optical networks that consider multi-layer optical networks and cloud resources for enabling 5G network slicing [12]. Recently, works in [13] and [14] focus on wide-area networks (WANs) for applying SDN and NFV, hence enabling the IT-network joint perspective in multi-layer networks. Both [13]and [14] are based on well-known protocols (e.g.…”

Section: A In-operation (Online) Sdn/nfv Resource Allocationmentioning

confidence: 99%

IT and Multi-layer Online Resource Allocation and Offline Planning in Metropolitan Networks

Garrich

Romero-Gázquez

Moreno-Muro

et al. 2020

J. Lightwave Technol.

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Metropolitan networks are undergoing a major technological breakthrough leveraging the capabilities of softwaredefined networking (SDN) and network function virtualization (NFV). NFV permits the deployment of virtualized network functions (VNFs) on commodity hardware appliances which can be combined with SDN flexibility and programmability of the network infrastructure. SDN/NFV-enabled networks require decision-making in two time scales: short-term online resource allocation and mid-to-long term offline planning. In this paper, we first tackle the dimensioning of SDN/NFV-enabled metropolitan networks paying special attention to the role that latency plays in the capacity planning. We focus on a specific use-case: the metropolitan network that covers the Murcia-Alicante Spanish regions. Then, we propose a latency-aware multilayer service-chain allocation (LA-ML-SCA) algorithm to explore a range of maximum latency requirements and their impact on the resources for dimensioning the metropolitan network. We observe that design costs increase for low latency requirements as more data center facilities need to be spread to get closer to the network edge, reducing the economies of scale on the IT infrastructure. Subsequently, we review our recent joint computation of multi-site VNF placement and multilayer resource allocation in the

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Section: A In-operation (Online) Sdn/nfv Resource Allocationmentioning

confidence: 99%

IT and Multi-layer Online Resource Allocation and Offline Planning in Metropolitan Networks

Garrich

Romero-Gázquez

Moreno-Muro

et al. 2020

J. Lightwave Technol.

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“…1. This constitutes the set-up (reproduced into the CTTC ADRENALINE testbed) used for realizing the experimental evaluation [5]. As mentioned the connectivity between a pair of DCs is done interconnecting respective packet Gws through a flexigrid optical network.…”

Section: Resource Orchestration Set-up In a Mln Infrastructurementioning

confidence: 99%

“…The PCReq message carries the the Gws endpoints and the requested bandwidth (Bw). For each PCReq message, the T-SDN Controller triggers a K-CSPF algorithm (described in [5]) to satisfy both Bw and latency constraints. The K-CSPF algorithm aims at finding a feasible MLN path attaining the most efficient use of the network resources (i.e., packet ports, optical spectrum, S-BVT devices, etc.).…”

Section: On-line Resource Orchestration Algorithmsmentioning

confidence: 99%

“…In a nutshell, each experimental data point is realized with 1000 requests following a Poisson process VNFFG request whose mean inter-arrival time is set to 25 s, and the duration (holding time, HT) is exponentially modeled varying its mean to 200, 250, 300, and 350 s. This provides different offered traffic loads (expressed in Er): 8, 10, 12, and 14. The requirements of each VNFFG requests are generated as follows: the number of VMs per DC is uniformly distributed between [1,5]; the IT resources (i.e., CPU, RAM and disk) are randomly chosen in the ranges of [1,4] cores, [1,6] GB and [4,10,20,40] GB, respectively; the demanded bandwidth is randomly selected among [10,40,100] Gb/s; and the latency (l) is in the range of [6,12] ms. Fig. 4 shows the percentage of the accepted reqs versus the offered traffic load in Erlangs (Er) when applying either MD or LLDC.…”

Section: Experimental Performance Evaluationmentioning

confidence: 99%

“…In this paper we present a cloud and network resource orchestration system and discuss the implications when dynamically serving VNFFG requests on top of the considered MLN. The orchestration of cloud and network resources is performed by an allocation engine (referred to as Allocator ) complementing the ETSI NFV Orchestrator (NFVO) in the dynamic selection of the DCs and respective interconnections underpinning the VNFFG over a distributed DC infrastructure interconnected by a MLN [5]. Every DC is physically attached to packet switch nodes (e.g., MPLS), named as packet Gateways (Gws).…”

Section: Introductionmentioning

confidence: 99%

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Experimental evaluation of dynamic resource orchestration in multi-layer (packet over flexi-grid optical) networks

et al. 2020

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In future 5G infrastructures, network services will be deployed through sets of Virtual Network Functions (VNFs) leveraging the advantages of both Software Defined Networking (SDN) and Network Function Virtualization (NFV). A network service is composed of an ordered sequence of VNFs, i.e., VNF Forwarding Graph (VNFFG), deployed across distributed data centers (DCs). Herein, we present a Cloud/Network Orchestrator which dynamically processes and accommodates VNFFG requests over a pool of DCs interconnected by a multilayer (packet/flexi-grid optical) transport network infrastructure. We propose two different cloud and network resource allocation algorithms aiming at: i) minimizing the distance between the selected DCs, and ii) minimizing the load (i.e., consumed cloud resources) of the chosen DCs. Both algorithms run on a Cloud/Network Orchestrator and are experimentally validated and benchmarked on the CTTC ADRENALINE testbed.

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Experimental Evaluation of Dynamic Resource Orchestration in Multi-layer (Packet over Flexi-Grid Optical) Networks

Fichera

Martini

Martínez

et al. 2020

Optical Network Design and Modeling

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Experimental Evaluation of Orchestrating Inter-DC Quality-Enabled VNFFG Services in Packet/Flexi-Grid Optical Networks

Cited by 5 publications

References 3 publications

IT and Multi-layer Online Resource Allocation and Offline Planning in Metropolitan Networks

IT and Multi-layer Online Resource Allocation and Offline Planning in Metropolitan Networks

Experimental evaluation of dynamic resource orchestration in multi-layer (packet over flexi-grid optical) networks

Experimental Evaluation of Dynamic Resource Orchestration in Multi-layer (Packet over Flexi-Grid Optical) Networks

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