Lightpath Management in SDN-Based Elastic Optical Networks With Power Consumption Considerations

Xiong, Yu; Shi, Jin; Yang, Yaya; Yi, LV; Rouskas, George N.

doi:10.1109/jlt.2017.2785410

Cited by 27 publications

(17 citation statements)

References 27 publications

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“…The bandwidth unit in EONs is referred to as the frequency slot, and its resource allocation performance includes blocking probability [112], resource utilization, lightpath setup time [113], network throughput and network bandwidth fragmentation ratio [114], and load balancing. The application of EONs to such fields as SDN [115], IT resources [116] and NFV [107] is quite challenging. Facing these different scenarios, we need to improve the performance of MOEA/D comprehensively by employing several methods reviewed above or combining the methods that benefit each other complementally.…”

Section: ) Eonmentioning

confidence: 99%

A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition: Variants, Challenges and Future Directions

2020

IEEE Access

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Section: ) Eonmentioning

confidence: 99%

A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition: Variants, Challenges and Future Directions

2020

IEEE Access

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“…Without compromising the network performance (e.g., InPs), switching off or sleeping power-consuming elements by consolidating requests is considered as the primary approaches to minimize the energy consumption in [66,69,72]. Various network components in network architecture (e.g., servers, routers, and transponders) are considered in [73][74][75]. In general, the ratio between running nodes and the total number of substrate nodes is taken into account as a performance metric.…”

Section: Energy Efficiencymentioning

confidence: 99%

Virtual Network Embedding for Multi-Domain Heterogeneous Converged Optical Networks: Issues and Challenges

Zong

Feng

Guan

et al. 2020

Sensors

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The emerging 5G applications and the connectivity of billions of devices have driven the investigation of multi-domain heterogeneous converged optical networks. To support emerging applications with their diverse quality of service requirements, network slicing has been proposed as a promising technology. Network virtualization is an enabler for network slicing, where the physical network can be partitioned into different configurable slices in the multi-domain heterogeneous converged optical networks. An efficient resource allocation mechanism for multiple virtual networks in network virtualization is one of the main challenges referred as virtual network embedding (VNE). This paper is a survey on the state-of-the-art works for the VNE problem towards multi-domain heterogeneous converged optical networks, providing the discussion on future research issues and challenges. In this paper, we describe VNE in multi-domain heterogeneous converged optical networks with enabling network orchestration technologies and analyze the literature about VNE algorithms with various network considerations for each network domain. The basic VNE problem with various motivations and performance metrics for general scenarios is discussed. A VNE algorithm taxonomy is presented and discussed by classifying the major VNE algorithms into three categories according to existing literature. We analyze and compare the attributes of algorithms such as node and link embedding methods, objectives, and network architecture, which can give a selection or baseline for future work of VNE. Finally, we explore some broader perspectives in future research issues and challenges on 5G scenario, field trail deployment, and machine learning-based algorithms.

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“…While an increased spectral efficiency has been the focus of EONs, it is possible to harness the varying channel conditions and traffic demands to reduce energy dissipation. Several studies to reduce energy dissipation at the network level exist, e.g., early work where sleep cycles in network nodes have been introduced [4] and later work where traffic prediction has been used improve energy efficiency in software-defined networks (SDNs) [5]. However, studies on how we can harness the traffic and channel variations to improve the energy efficiency of the physical layer, including transceiver digital signal processing (DSP) and FEC circuits, are largely missing.…”

Section: Introductionmentioning

confidence: 99%

Variable-Rate VLSI Architecture for 400-Gb/s Hard-Decision Product Decoder

Jain

Fougstedt

Larsson-Edefors

2021

IEEE Trans. Circuits Syst. I

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Variable-rate transceivers, which adapt to the conditions, will be central to energy-efficient communication. However, fiber-optic communication systems with high bit-rate requirements make design of flexible transceivers challenging, since additional circuits needed to orchestrate the flexibility will increase area and degrade speed. We propose a variable-rate VLSI architecture of a forward error correction (FEC) decoder based on hard-decision product codes. Variable shortening of component codes provides a mechanism by which code rate can be varied, the number of iterations offers a knob to control the coding gain, while a key-equation solver module that can swap between error-locator polynomial coefficients provides a means to change error correction capability. Our evaluations based on 28nm netlists show that a variable-rate decoder implementation can offer a net coding gain (NCG) range of 9.96-10.38 dB at a post-FEC bit-error rate of 10 −15 . The decoder achieves throughputs in excess of 400 Gb/s, latencies below 53 ns, and energy efficiencies of 1.14 pJ/bit or less. While the area of the variable-rate decoder is 31% larger than a decoder with a fixed rate, the power dissipation is a mere 5% higher. The variable error correction capability feature increases the NCG range further, to above 10.5 dB, but at a significant area cost.

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Lightpath Management in SDN-Based Elastic Optical Networks With Power Consumption Considerations

Cited by 27 publications

References 27 publications

A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition: Variants, Challenges and Future Directions

A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition: Variants, Challenges and Future Directions

Virtual Network Embedding for Multi-Domain Heterogeneous Converged Optical Networks: Issues and Challenges

Variable-Rate VLSI Architecture for 400-Gb/s Hard-Decision Product Decoder

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