A critical analysis of the possible cost savings of translucent networks

Morea, Annalisa; Poirrier, J.

doi:10.1109/drcn.2005.1563884

Cited by 22 publications

(15 citation statements)

References 10 publications

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“…In the section following, the length of time needed for segment recovery is investigated as a function of system reach [19]. This study is independent of the adopted restoration scope because the signaling for activating the recovery of the protecting segment L-LSP will be the same, while only the signal sequence establishment before the recovery path activation will change, as explained in [8].…”

Section: Analysis Of Recovery Phases For Shared Mesh Segment L-lspmentioning

confidence: 99%

“…Consequently, a failure event such as a link cut, node malfunction, or signal transmission Transmission technologies also enable optical signals to pass through nodes transparently and travel thousands of kilometers at the optical layer, i.e., without performing optical-electrical-optical (OEO) conversion. This capability has enabled the introduction of transparent or translucent networks [19,26], which reduce operational costs and energy consumption. In parallel to the evolution of ultra-high capacity wavelength division multiplexed (WDM) transmission systems, wavelength switching nodes have benefited from the introduction of reconfigurable and tunable optical add/drop multiplexers (ROADMs/ TOADMs) [13] implemented using wavelength selective switches (WSS) [18].…”

Section: Introductionmentioning

confidence: 99%

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Wavelength layer recovery in transparent optical networks

Morea¹,

Kilper²,

Verchere³

et al. 2010

Bell Labs Tech. J.

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degradation can cause a loss of several hundreds of gigabytes of data per second. As repair of a fiber break may take several hours, network operators need to be able to restore the lost traffic demands by rerouting the affected traffic around the network failure. Consequently there is increasing motivation to utilize fast wavelength recovery capabilities and thereby minimize the wavelength service interruption time and congestion due to protection implemented in the higher layers.

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Section: Analysis Of Recovery Phases For Shared Mesh Segment L-lspmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wavelength layer recovery in transparent optical networks

Morea¹,

Kilper²,

Verchere³

et al. 2010

Bell Labs Tech. J.

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show abstract

“…This has opened up new perspectives in the design of cost-effective optical transport networks [1]. Introduction of transparency in the network allows for a reduction in expensive optical-to-electrical-to-optical (OEO) regenerators and effectively reduces the total network cost [2]. According to the utilization of OEO devices, three types of networks are identified: opaque, transparent, and translucent networks.…”

Section: Introductionmentioning

confidence: 99%

On the benefits of backup resource sharing in transparent and opaque networks

Staessens

Colle

Pickavet

et al. 2012

2012 IV International Congress on Ultra Modern Telecommunications and Control Systems

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Abstract-Transparent networks promise a cost efficient solution for future core and metro networks, due to the high costefficiency for switching trunk traffic. Network availability is an important performance parameter for network operators, who are incorporating protection and restoration mechanisms in the network to achieve competitive advantages. This paper will focus on the reduction in Capital Expenditures (CapEx) expected from implementing protection in transparent networks. We dimension a nationwide transparent network topology for restoration and path protection mechanisms using transparent and opaque architectures. We investigate the gain through protection sharing in relation to the number of links in a meshed network and the offered load on a population of 1000 generated 2-connected planar topologies with 14 nodes. We show that the gain in a transparent network is heavily dependent on the offered load, with almost no relative gain for low load (no required parallel line systems). We also show that, for opaque networks, this relative gain by protection sharing is independent of the traffic load and shows a small dependency on the number of links in the network. The node CapEx reduction for high load is comparable to the CapEx reduction in opaque OTN systems. This is rather surprising as in OTN systems the number of transceivers and linecards and the size of the OTN switching matrix all decrease, while in transparent networks only the degree of the ROADM (number and size of WSSs in the node) decreases while the number of transponders remains the same.

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“…This is known as the metro gap [5]. The challenge for next generation metro networks is to flexibly aggregate, transmit, and switch the high volume continuous and burst traffic between the backbone and access networks in a highly cost efficient way [6] in order to handle the new dynamic services and applications.…”

Section: Introductionmentioning

confidence: 99%