This work proposes a routing and wavelengthassignment (RWA) algorithm for network planning aiming to minimize the power expended in Mixed Line-Rate (MLR) translucent optical networks by reducing the number of power c...
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ISBN:
(纸本)9783901882609
This work proposes a routing and wavelengthassignment (RWA) algorithm for network planning aiming to minimize the power expended in Mixed Line-Rate (MLR) translucent optical networks by reducing the number of power consuming components such as regenerators and add/drop terminals, using several data rates and modulation formats. In particular, an algorithm for solving the energy-aware RWA (EA-RWA) problem in MLR translucent networks based on an Integer Linear Programming (ILP) formulation is proposed. Our study shows that energy savings can be obtained by minimizing the power consumed at the optical layer, through the reduction of the number of power-consuming components in conjunction with the data rate and modulation format adaptation.
We consider the energy minimization problem in optical networks from an algorithmic perspective. Our objective is to plan optical WDM networks so as to minimize the energy expended, by reducing the number of energy-co...
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We consider the energy minimization problem in optical networks from an algorithmic perspective. Our objective is to plan optical WDM networks so as to minimize the energy expended, by reducing the number of energy-consuming components, such as amplifiers, regenerators, add/drop terminals, optical fibers, etc. We initially present an algorithm for solving the energy-aware routing and wavelength assignment problem based on an integer linear programming formulation that incorporates energy consumption and physical impairments (through a maximum transmission reach parameter) into routing and wavelengthassignment. We then present a second algorithm that decomposes the problem and uses a linear programming relaxation to address the problem in large scale networks. Simulations are performed to evaluate and compare the performance of the proposed algorithms. In previously published works, energy minimization derives mainly from the reduction of the electronic processing of the traffic and the bypass in the optical domain, while the energy consumed by the optical devices is usually neglected. We focus on the optical layer and show that energy reductions can be obtained in that layer also.
This work considers the problem of power minimization in translucent wavelength division multiplexing (WDM) optical networks. Our objective is to minimize the energy expended in optical WDM networks by reducing the nu...
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ISBN:
(纸本)9781479956029
This work considers the problem of power minimization in translucent wavelength division multiplexing (WDM) optical networks. Our objective is to minimize the energy expended in optical WDM networks by reducing the number of power consuming components such as regenerators, amplifiers, add/drop terminals, etc. In particular, an algorithm for solving the energy-aware routing and wavelength assignment (EA-RWA) problem in translucent networks based on Simulating Annealing (SA) meta-heuristic algorithm is proposed. Numerical results show that energy-efficient regenerator placement combined with appropriate routing so as to switch off power consuming components can significantly reduce power consumption in the network.
Optical WDM networks can be employed as the transport medium technology for cloud computing services since they have high capacity and low delay, and they satisfy the service requirements by the help of the control pl...
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ISBN:
(纸本)9781424492688
Optical WDM networks can be employed as the transport medium technology for cloud computing services since they have high capacity and low delay, and they satisfy the service requirements by the help of the control plane. Recent research has shown that cloud services can be efficiently provisioned based on anycast or manycast paradigms. In this paper, we focus on the energy savings in the optical transport network which forms a communication infrastructure for the cloud services based on the manycast paradigm. We propose an optimization model to maximize the energy savings by putting the wavelengthrouting modules of the optical nodes in the power saving mode. Based on the optimization model, we propose an evolutionary algorithm, namely the Evolutionary Algorithm for Green Light-tree Establishment (EAGLE) which can provide lower runtime for large topologies and find a suboptimal solution. We evaluate the performance of our optimization model by running EAGLE under a topology lying on four different time zones, i.e., NSFNET. Simulation results verify that selecting a feasible number of nodes to put their wavelengthrouting modules in the power saving mode leads to significant energy savings in transportation of the cloud services over WDM networks. Furthermore, the proposed scheme does not introduce a resource consumption penalty when compared to the wavelength minimizing approach.
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