Dynamic routing and spectrum (re)allocation in future flexgrid optical networks

Castro, Alberto; Velasco, Luis; Ruiz, Marc; Klinkowski, Mirosław; Fernández-Palacios, Juan Pedro; Careglio, Davide

doi:10.1016/j.comnet.2012.05.001

Cited by 137 publications

(69 citation statements)

References 24 publications

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“…For example, assuming 6.25 GHz slot width, a 10 Gbps connection requests a spectral block comprising 1 slot only and a 100 Gbps connection requires a contiguous spectral block of 8 slots, both connections using QPSK modulation [25]. This multi-class scenario resembles the multi-service circuit-switched network studied in [26], however it is also very different due to the SCCC.…”

Section: Introductionmentioning

confidence: 99%

Class-based first-fit spectrum allocation with fragmentation avoidance for dynamic flexgrid optical networks

Yumer

Akar

Karasan

2015

Optical Switching and Networking

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A novel Class-Based First Fit (CBFF) spectrum allocation policy is proposed for dynamic flexgrid optical networks. The effectiveness of the proposed CBFF policy is compared against the First Fit (FF) policy for singlelink and network scenarios. Throughput is shown to be consistently improved under the proposed CBFF policy with throughput gains of up to 15%, compared with the FF policy for the network scenarios we studied. The reduction in bandwidth blocking probability with CBFF with respect to FF increases as the link capacities increase. Throughput gains of CBFF compared with FF are more significant under alternate routing as opposed to fixed routing.

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Section: Introductionmentioning

confidence: 99%

Class-based first-fit spectrum allocation with fragmentation avoidance for dynamic flexgrid optical networks

Yumer

Akar

Karasan

2015

Optical Switching and Networking

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“…When K = 2, we consider the two demand size vectors n = (1, 4) and n = (1,8). For K = 3, we study n = (1, 2, 4) and n = (1, 4,8) all of which are reasonable choices for EONs [10]. The proposed analytical method is implemented with 64-bit Matlab 8.1 running on a Windows 7 laptop which has an Intel i5 -460 M processor with a core speed of 2.53 GHz and 4 GB of RAM.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Therefore, we say the size of the class-k demand is n k . For example, assuming 12.50 GHz slot width, a 40 Gbps (100 Gbps, 400 Gbps) demand requires a spectral block comprising 2 slots (4 slots, 16 slots) using QPSK modulation [10]. When the modulation format is changed to 16-QAM, then the slot requirements would be halved for all three types of demands.…”

Section: Introductionmentioning

confidence: 99%

Analytical performance modeling of elastic optical links with aligned spectrum allocation

Vaezi

Akar

2015

Computer Networks

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a b s t r a c tElastic optical networking has recently been proposed for use in optical transport networks to cope with increasingly heterogeneous and dynamic demand patterns. In this paper, we study the blocking performance of a multi-class elastic optical link for which a demand needs to be allocated a contiguous subset of the entire spectrum. This problem is different than the well-known blocking problem in multi-class multi-server loss systems due to the contiguous allocation constraint. We first propose a non-work-conserving aligned spectrum allocation policy which is shown to outperform the conventional first fit-based work-conserving allocation policy without alignment. Subsequently, for blocking performance of an aligned elastic optical link with up to three different traffic classes, we propose a novel and systematic order reduction procedure for MMPPs (Markov Modulated Poisson Process) and use this procedure as the numerical engine to approximately obtain the blocking probabilities. The proposed numerical algorithm is validated under various system and traffic parameters and is shown to be effectively usable as an instrument to dimension elastic optical links.

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“…As a general rule, when n<<N, (10) It is finally concluded that the ratio between the number of n+1 FS connections and the number of n FS connections appearing in the F state is always close to 1/2. This relation will be later used to describe the Optimum traffic profile for Elastic optical networks.…”

Section: Analysis Of the Elastic Scenariomentioning

confidence: 86%

“…In addition, the entire bandwidth of the connections must be contiguously allocated, also referred as the spectrum contiguity constraint. The Routing and Spectrum Allocation (RSA) problem in FlexGrid optical networks has been widely studied, considering the static traffic case (network planning phase) as well as dynamic (in operation) network scenarios [3][4][5][6][7][8][9][10][11][12][13]. There, connection arrival and departure processes are random and the network has to accommodate incoming traffic in real time.…”

Section: Introductionmentioning

confidence: 99%

Optimized traffic profile for FlexGrid optical networks

Liu

Comellas

2017

Photon Netw Commun

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This work is focused on studying the connections bandwidth distribution effects on the FlexGrid network performance. An accurate study of spectrum occupancy in heavy loaded FlexGrid optical networks is carried out. This analysis is useful to figure out which traffic profiles are more suitable for this kind of networks. Two different cases are considered with respect to the offered connections. In the Elastic case, connections sizes can take any value from 1 to a maximum number of spectrum slots. In the MultiRate case, only three connections sizes are allowed. It is demonstrated that by generating the connections with some specific statistical properties, the network performance is improved. These properties are derived from the theoretical study of spectrum occupation in ideal conditions. The main contribution of this work is therefore the proposal of an Optimum traffic profile which allows to efficiently using the spectrum in FlexGrid optical networks. The gain obtained by generating the proposed traffic profile is evaluated by means of simulations at the link as well as at the whole network level.

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Dynamic routing and spectrum (re)allocation in future flexgrid optical networks

Cited by 137 publications

References 24 publications

Class-based first-fit spectrum allocation with fragmentation avoidance for dynamic flexgrid optical networks

Class-based first-fit spectrum allocation with fragmentation avoidance for dynamic flexgrid optical networks

Analytical performance modeling of elastic optical links with aligned spectrum allocation

Optimized traffic profile for FlexGrid optical networks

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