&lt;title&gt;Multi-layer resilience in data-centric optical networks&lt;/title&gt;

Puype, Bart; Yan, Qiang; Maesschalck, Sophie De; Groebbens, Adelbert; Colle, Didier; Lievens, Ilse; Pickavet, Mario; Demeester, Piet

doi:10.1117/12.570418

Cited by 8 publications

(11 citation statements)

References 5 publications

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“…Compared to a proactive strategy, a reactive strategy limits the number of reconfigurations. In [17,18], the authors explain that all MTE strategies involve three phases: triggering (see Section 2.1), decision making (see Section 2.2) and realization (see Section 2.3). In the remainder of this section, we will propose an efficient reactive MTE strategy in detail.…”

Section: Multi-layer Traffic Engineeringmentioning

confidence: 99%

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Performance Evaluation of Multi-Layer Traffic Engineering Enabled IP-over-ION Networks

et al. 2005

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Recently, network operators started implementing traffic engineering (TE) techniques in their network. These TE techniques typically involve a single layer (for example, the IP/multi-protocol label switching (MPLS) layer). Although single-layer TE (STE) can improve the network performance (e.g., throughput, quality of service (QoS)), this improvement is bounded by the available capacity in that network layer. The evolution towards intelligent optical networks (IONs) allows further increasing the improvements achievable by the TE techniques, by involving more than one layer in the TE actions. Multi-layer TE (MTE) occupies network resources in a smart way and optimizes the QoS since it dynamically reconfigures the logical topology in the upper layer by properly updating the optical connections in the underlying optical layer. However, the performance of the network is impacted by the configuration scheme adopted by MTE. Therefore, in this paper, we focus on analyzing the influence of the MTE configuration scheme on the MTE behavior, and evaluate the network performance by studying simulation results obtained from a realistic IP-over-ION network.

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Section: Multi-layer Traffic Engineeringmentioning

confidence: 99%

“…In general, MTE strategies are split up into two classes: proactive strategies [17] and reactive strategies [18]. A proactive strategy is a strategy that continuously updates the logical network in order to keep the network away from undesirable situations.…”

Section: Multi-layer Traffic Engineeringmentioning

confidence: 99%

Performance Evaluation of Multi-Layer Traffic Engineering Enabled IP-over-ION Networks

et al. 2005

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“…A ML dimensioning process reduces equipment utilization [9,10], using tools that allocate resources based on expected traffic matrices.…”

Section: B Single Layer Versus Multilayermentioning

confidence: 99%

Multilayer Control for Packet-Optical Networks [Invited]

Iovanna¹,

Germoni

Testa³

et al. 2013

J. Opt. Commun. Netw.

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This paper describes a novel multilayer (ML) path computation element (PCE) architecture based on a hybrid approach. Such a method operates in all network life cycles, optimizing both the design and the operative phases. The hybrid PCE is based on combined non-realtime and real-time operation and is able to integrate control and management functions. This architecture results in a reduction of overprovisioning during network design while guaranteeing availability of traffic by using controlplane-driven dynamic recovery schemes. It introduces advanced control functionality into the network, providing an easy-to-integrate solution. To fully exploit the control plane capabilities, a new architecture of colorless, directionless, and contentionless reconfigurable optical add/ drop multiplexers and its related cost model are also presented. The solution has been assessed by simulations on the Spanish backbone network of Telefonica. The simulation analysis demonstrates the good performance of the proposed ML solution. The reduction of overprovisioning allows a capital expenditure saving of up to 46% with respect to a single-layer approach without any effect on the level of survivability of the traffic, thanks to new ML recovery schemes.

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“…Rerouting is employed not only to recover from failures but also to solve regular traffic engineering problems, such as congestion. In Puype et al traffic flows are rerouted over a logical IP topology on top of an optical network that does not require manual configuration for provisioning light paths that correspond to the links of the logical IP topology. The proposed solution includes strategies for traffic monitoring and describes a proactive approach that tries to keep the network optimized at all times and thus rerouting whenever it results in better conditions.…”

Section: Related Workmentioning

confidence: 99%

GigaManP2P: an overlay network for distributed QoS management and resilient routing

et al. 2011

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SUMMARYManagement of long-distance, high-speed optical backbones spanning multiple administrative domains requires new solutions for challenging tasks. In particular, it is not trivial to negotiate, monitor and continuously enforce the required quality of service (QoS) for applications that span multiple domains. This paper proposes GigaManP2P: a novel peer-to-peer (P2P) management architecture for high-speed QoSaware backbones. GigaManP2P peers provide management services in a ubiquitous fashion through modules that interface with both the communication infrastructure and network users. In particular, we describe management services for on inter-domain QoS monitoring and resilient routing. After detecting a QoS constraint violation trend, a proactive rerouting strategy is triggered based on redundant virtual circuits, allowing both full and partial rerouting. The P2P overlay implementation is the basis for allowing transparent communication across autonomous systems. Experimental results showing the overhead of the P2P infrastructure in comparison to raw Simple Network Management Protocol, and the performance of the rerouting strategy, are presented.

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<title>Multi-layer resilience in data-centric optical networks</title>

Cited by 8 publications

References 5 publications

Performance Evaluation of Multi-Layer Traffic Engineering Enabled IP-over-ION Networks

Performance Evaluation of Multi-Layer Traffic Engineering Enabled IP-over-ION Networks

Multilayer Control for Packet-Optical Networks [Invited]

GigaManP2P: an overlay network for distributed QoS management and resilient routing

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