All Optical Switching Networks With Energy-Efficient Technologies From Components Level to Network Level

Ji, Yuefeng; Zhang, Jie; Zhao, Yongli; Li, Hui; Yang, Qi; Ge, Chunhua; Xiong, Qianjin; Xue, Daojun; Yu, Jianjun; Qiu, Shi

doi:10.1109/jsac.2014.2335352

Cited by 27 publications

(10 citation statements)

References 32 publications

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“…1) Power-saving Application Controller: Ji et al [379] have proposed an all optical energy-efficient network centered around an application controller [380], [381] that monitors power consumption characteristics and enforces power savings policies. Ji et al first introduce energy-efficient variations of Digital-to-Analog Converters (DACs) and wavelength selective ROADMs as components for their energy-efficient network.…”

Section: Energy Efficiencymentioning

confidence: 99%

Software Defined Optical Networks (SDONs): A Comprehensive Survey

Thyagaturu

Mercian

McGarry

et al. 2016

IEEE Commun. Surv. Tutorials

300

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: Energy Efficiencymentioning

confidence: 99%

Software Defined Optical Networks (SDONs): A Comprehensive Survey

Thyagaturu

Mercian

McGarry

et al. 2016

IEEE Commun. Surv. Tutorials

300

129

View full text Add to dashboard Cite

show abstract

“…Equation. (19) indicates that the request R ij is aboveR ij and the latter occupiesT ij units of time slots.…”

Section: Maxi MI Zementioning

confidence: 99%

“…Although different types of optical networks have different features, one of the important factors is to improve the efficiency. For instance, in optical access networks, the bandwidth efficiency is pursued [17]; in all optical backbone networks, the spectrum efficiency is pursued [18]; the energy efficiency is pursued in all optical switching networks [19]. In OODCNs, the spectrum efficiency is also pursued.…”

Section: Introductionmentioning

confidence: 99%

Bandwidth Reservation for Tenants in Reconfigurable Optical OFDM Datacenter Networks

Liu

Sun

2018

IEEE Photonics J.

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The optical datacenter networks need periodical reconfiguration in response to traffic change. Before the networks reconfigure, the tenant requests are given and should be served within fixed transfer time and spectrum capacity. In this paper, the planning problem of serving the requests in optical orthogonal frequency division multiplexing datacenter networks is investigated. We introduce the knapsack-based spectrum and time allocation (KSTA) problem. The objective of this paper is to maximize the network throughput. We formulate the KSTA problem as an integer linear programming (ILP) model. However, ILP cannot find the optimal solution for large input requests within shorter time. To solve the problem, three fast heuristic algorithms, i.e., the most spectrum first, the most time first, and the most data volume first, are proposed to achieve suboptimal solutions. Furthermore, the simulated annealing (SA) algorithm is employed to yield a better suboptimal solution. The simulation results indicate that ILP provides an optimal solution for small input requests, whereas the three heuristic algorithms and SA can yield suboptimal solutions for large input requests. The results also show that the suboptimal solution to SA is better than those provided by the three heuristic algorithms.

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“…(3) All Optical Network Innovation (AONI) testbed. An AONI testbed has been built, as shown in Figure 6, and deployed over two main geographically distributed locations: Beijing University of Posts and Telecommunications (BUPT) and Chaoyang District in Beijing, China [73]. The testbed consists of several domains, such as IP domain, optical edge network (consisting of software defined network elements, i.e., S-NE), optical core network (consisting of software defined ROADM, i.e., S-ROADM, and bandwidth-variable OXC, i.e., BV-OXC), and datacenters.…”

Section: Aon Testbedsmentioning

confidence: 99%