Quality of Service Provisioning and Energy Minimized Scheduling in Software Defined Flexible Optical Networks

Khodakarami, Hamid; Pillai, Bipin Sankar Gopalakrishna; Shieh, William

doi:10.1364/jocn.8.000118

Cited by 18 publications

(3 citation statements)

References 18 publications

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“…The considered traffic range should include short and long term traffic variations, which should be traded off with various QoS aspects, such as type of application and delay constraints, as well as the resulting costs and control overheads. Khodakarami et al [362] have taken steps in this direction by forming a traffic forecasting model for both long-term and short-term forecasts in a wide-area mesh network. Optical lightpaths are then configured based on the overall traffic forecast, while electronic switching capacities are allocated based on short-term forecasts.…”

Section: Sdn Application Layermentioning

confidence: 99%

Software Defined Optical Networks (SDONs): A Comprehensive Survey

Thyagaturu

Mercian

McGarry

et al. 2016

IEEE Commun. Surv. Tutorials

301

129

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The emerging Software Defined Networking (SDN) paradigm separates the data plane from the control plane and centralizes network control in an SDN controller. Applications interact with controllers to implement network services, such as network transport with Quality of Service (QoS). SDN facilitates the virtualization of network functions so that multiple virtual networks can operate over a given installed physical network infrastructure. Due to the specific characteristics of optical (photonic) communication components and the high optical transmission capacities, SDN based optical networking poses particular challenges, but holds also great potential. In this article, we comprehensively survey studies that examine the SDN paradigm in optical networks; in brief, we survey the area of Software Defined Optical Networks (SDONs). We mainly organize the SDON studies into studies focused on the infrastructure layer, the control layer, and the application layer. Moreover, we cover SDON studies focused on network virtualization, as well as SDON studies focused on the orchestration of multilayer and multidomain networking. Based on the survey, we identify open challenges for SDONs and outline future directions

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Section: Sdn Application Layermentioning

confidence: 99%

Software Defined Optical Networks (SDONs): A Comprehensive Survey

Thyagaturu

Mercian

McGarry

et al. 2016

IEEE Commun. Surv. Tutorials

301

129

View full text Add to dashboard Cite

show abstract

“…Ignoring constraints (14), (15), (16) and the penalty term of the goal function (8), the above formulation is equivalent geometric program of the previous MINLP in which expressions (7) and the mentioned posynomial curve fitting have been used for QoS constraint (9). Constraints (14) and (15) and the penalty term are added to guarantee the implicit equality of d q,i = ω q − ω i [11].…”

Section: Transponder Configuartion Problemmentioning

confidence: 99%

“…Flexible resource allocation is an NP-hard problem and it is usually decomposed into several sub-problems with lower complexity [9]. Following this approach, we decompose the resource allocation problem into 1) Routing and Ordering Sub-problem (ROS) and 2) Transponder Configuration Subproblem (TCS) and mainly focus on TCS which is more complex and time-consuming [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Transponder Configuration for FMF-Based Elastic Optical Networks

Hadi

Pakravan

2018

IEEE Commun. Lett.

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We propose an energy-efficient procedure for transponder configuration in FMF-based elastic optical networks in which quality of service and physical constraints are guaranteed and joint optimization of transmit optical power, temporal, spatial and spectral variables are addressed. We use geometric convexification techniques to provide convex representations for quality of service, transponder power consumption and transponder configuration problem. Simulation results show that our convex formulation is considerably faster than its mixed-integer nonlinear counterpart and its ability to optimize transmit optical power reduces total transponder power consumption up to 32%. We also analyze the effect of mode coupling and number of available modes on power consumption of different network elements.

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Traffic grooming with survivability and power-efficiency in software defined elastic optical networks

Iyer¹

2018

J Opt

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Quality of Service Provisioning and Energy Minimized Scheduling in Software Defined Flexible Optical Networks

Cited by 18 publications

References 18 publications

Software Defined Optical Networks (SDONs): A Comprehensive Survey

Software Defined Optical Networks (SDONs): A Comprehensive Survey

Energy-Efficient Transponder Configuration for FMF-Based Elastic Optical Networks

Traffic grooming with survivability and power-efficiency in software defined elastic optical networks

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