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oe1(光电查) - 科学论文

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?? 中文(中国)
  • [Communications in Computer and Information Science] Futuristic Trends in Network and Communication Technologies Volume 958 (First International Conference, FTNCT 2018, Solan, India, February 9–10, 2018, Revised Selected Papers) || Future Perspectives in Elastic Optical Networks

    摘要: The new generation Elastic Optical Networks (EONs) based on Orthogonal Frequency Division Multiplexing (OFDM) can accommodate exponentially increasing heterogeneous data traffic efficiently and economically. In EONs, the optimum channel spacing between various subcarriers is very crucial for its efficient performance. The use of Sub-Carrier Multiplexing (SCM) in EONs is visualized as an evolving field. This paper present the evaluation of SCM based EONs for both mathematical and simulative model. The designed SCM-EON network is analytically evaluated for its performance with different modulation techniques (Direct Modulation and External Modulation). The performance of system is also evaluated for amplification using Semiconductor Optical Amplifier (SOA) and Erbium Doped Fiber Amplifier (EDFA). Simulative results show that Optical Phase Modulation (OPM) along with EDFA offers enhanced performance for the proposed model. It has also been observed that OPM is a better technique for SCM and hence it can be deduced that the combination will boost EONs efficiency in handling network resources.

    关键词: SCM,Elastic Optical Networks,OFDM,EDFA,OPM,Bandwidth variable-wavelength cross-connects (BV-WXC),Quadrature Amplitude Modulation (QAM),Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM),Mach-Zehnder modulator (MZM)

    更新于2025-09-23 15:23:52

  • On the efficient optimization of unicast, anycast and multicast flows in survivable elastic optical networks

    摘要: The paper investigates efficient allocation of three types of flows (unicast, anycast, multicast) in elastic optical network with dedicated path protection. We model the problem as an integer linear programming and propose efficient solution methods: greedy randomized algorithm (GRA) and column generation (CG)-based approach implemented in two versions, which differ in the method used to find a final problem solution for the selected columns. Then, we evaluate in detail methods efficiency with respect to four reference algorithms. What is more, for CG-based methods we use five different algorithms to find initial sets of columns and, by these means, evaluate how the quality of these methods influences the efficiency of CG-based approaches. The simulation results show that the proposed GRA significantly outperforms reference greedy methods and finds very good solutions (the average gap to optimal result was not higher than 13.4%). The CG-based methods allow to further improve results and obtain solutions very close to optimal ones (for the best CG-based version, the highest average gap to optimal result was 2.1%). Moreover, the results show that the traffic pattern influences the algorithms performance. The methods perform the best for scenarios with high amount of multicast volume while high anycast volume brings the most difficult problem instances. Eventually, the study reveals that the efficiency of CG-based methods depends strongly on the quality of initial columns as well as on the method used to find final solution for the selected columns.

    关键词: Network optimization,Multicast traffic,Anycast traffic,Column generation technique,Elastic optical networks,Dedicated path protection

    更新于2025-09-23 15:23:52

  • [IEEE 2017 International Conference on Optical Network Design and Modeling (ONDM) - Budapest (2017.5.15-2017.5.18)] 2017 International Conference on Optical Network Design and Modeling (ONDM) - Orchestrating data-intensive vNF service chains in inter-DC elastic optical networks

    摘要: We investigate the problem of data-intensive vNF service chain (vNF-SC) orchestration in inter-datacenter EONs. After analyzing the N P-hardness of this problem, we solve it in a sequential manner by optimizing both the request serving sequence and the data-intensive vNF-SC orchestration. Specifically, we propose a request sorting algorithm and a data-intensive vNF-SC orchestration algorithm based on dynamic programming to minimize the service completion time. We conduct simulations to evaluate the proposed algorithms, and simulation results verify their effectiveness.

    关键词: Network Function Virtualization,vNF Service Chain,Bulk-Data Transfer,Elastic optical networks

    更新于2025-09-23 15:22:29

  • A Performance Comparison of Centralized and Distributed Spectrum Management Techniques in Elastic Optical Networks

    摘要: Elastic optical networks (EONs) have emerged to provide higher spectrum efficiency than traditional Dense Wavelength-Division-Multiplexing (DWDM) by utilizing enabling technologies such as flexible spectrum grid, Orthogonal Frequency Division Multiplexing (OFDM), and distance adaptive rate and modulation. The choice of the control-plane is an important consideration when deploying any new technology, especially in optical networks. This paper considers generic distributed and centralized spectrum assignment policies in conjunction with the accompanying connection set-up signaling protocols in EONs. A network simulator for Generalized Multiprotocol Label Switching (GMPLS) was developed with Forward Reservation Protocol and Backward Reservation Protocol signaling methods. These signaling techniques are used with the First Fit (FF) and Random Fit (RF) Routing and Spectrum Allocation (RSA) algorithms. The paper discusses control elements (central and distributed architectures) decisions under busy hour and normal network conditions and presents a comprehensive performance analysis of key performance metrics such as connection success rate, connection establishment time, and capacity requirement.

    关键词: distributed control,signaling protocols,GMPLS,routing and spectrum allocation,centralized control,spectrum allocation,Elastic optical networks

    更新于2025-09-23 15:22:29

  • On spectrum assignment in elastic optical tree-networks

    摘要: To face the explosion of the Internet traffic, a new generation of optical networks is being developed; the Elastic Optical Networks (EONs). EONs use the optical spectrum efficiently and flexibly, but that gives rise to more difficulty in the resource allocation problems. In this article, we study the problem of Spectrum Assignment (SA) in Elastic Optical Tree-Networks. Given a set of traffic requests with their routing paths (unique in the case of trees) and their spectrum demand, a spectrum assignment consists in allocating to each request an interval of consecutive slots (spectrum units) such that a slot on a given link can be used by at most one request. The objective of the SA problem is to find an assignment minimizing the total number of spectrum slots to be used. We prove that SA is NP-hard in undirected stars of 3 links and in directed stars of 4 links, and show that it can be approximated within a factor of 4 in general stars. Afterwards, we use the equivalence of SA with a graph coloring problem (interval coloring) to find constant-factor approximation algorithms for SA on binary trees with special demand profiles.

    关键词: Chordal graphs,Elastic optical networks,Interval coloring,Spectrum assignment

    更新于2025-09-23 15:21:21

  • [IEEE 2018 26th Telecommunications Forum (TELFOR) - Belgrade, Serbia (2018.11.20-2018.11.21)] 2018 26th Telecommunications Forum (TELFOR) - Routing, Modulation and Spectrum Allocation in Elastic Optical Networks

    摘要: Elastic optical networks are seen as an efficient solution for future optical networks. In these networks, the routing, modulation and spectrum allocation problem consists of finding an optimal network utilization by jointly addressing all three aspects. We examine two different approaches for solving this problem dynamically in a network with a variable traffic. The first approach uses several candidate shortest paths and allows dynamic spectral (re)allocation, while the second approach employs a genetic algorithm for finding the most appropriate path. Our results showed that the second approach could often provide lower average blocking probability and a more efficient spectrum utilization than the first one, particularly for networks with shorter links, indicating that it is a potential solution for future high capacity transport network.

    关键词: Genetic algorithms,Routing modulation and spectrum allocation,Elastic optical networks

    更新于2025-09-19 17:15:36

  • A Priority-Based Multiobjective Design for Routing, Spectrum, and Network Coding Assignment Problem in Network-Coding-Enabled Elastic Optical Networks

    摘要: In elastic optical networks, the use of network coding (NC) represents a new dimension to further optimize spectrum efficiency, and indeed, combining NC and dedicated path protection has paved the way for achieving greater capacity efficiency, while retaining the merit of near-instantaneous recovery. In order to harness the NC benefits, a more complicated problem called routing, spectrum, and network coding assignment (RSNCA) has to be solved, and in this article, we propose a priority-based multiobjective design for the RSNCA problem aiming at maximizing the network throughput in the constrained bandwidth capacity and simultaneously minimizing the spectrum link usage for accepted demands. The multiobjective design is based on the weighting method, and we present a rigorous analysis on the impact of weight coefficients to the priority of constituent objectives. The efficacy of our design proposal is benchmarked with reference ones based on the traditional single-objective model and for both coding and non-coding approaches on various realistic topologies. It is highlighted that the application of NC brings about considerable throughput enhancement, and furthermore, the multiobjective RSNCA design is highly more efficient than the single-objective RSNCA, as up to more than 50% saving on spectrum link usage could be attained.

    关键词: routing and spectrum assignment (RSA),elastic optical networks,network coding (NC),intelligent optical networks,integer linear programming,multiobjective optimization,Dedicated protection

    更新于2025-09-16 10:30:52

  • [IEEE 2019 TEQIP III Sponsored International Conference on Microwave Integrated Circuits, Photonics and Wireless Networks (IMICPW) - Tiruchirappalli, India (2019.5.22-2019.5.24)] 2019 TEQIP III Sponsored International Conference on Microwave Integrated Circuits, Photonics and Wireless Networks (IMICPW) - L-band Extended National Optical Fiber Network to Achieve the Mission of Digital India

    摘要: To support the increased internet traffic, usage of 4G enabled smartphones and smart application of the Internet of Things (IoT) leads the requirement of spectrally scalable optical transport platform for the existing National Optical Fiber Network (NOFN) in India. Increasing traffic will soon exhaust the Conventional (C)-band. Therefore, we propose the novel architecture and the extension strategy enabling NOFN to consume the Long (L)-band and improve the total fiber capacity. Spectral expansion using L-band enables the twofold total fiber capacity and cost advantage over the already deployed fibers in the country. In this paper, we demonstrate the successful spectral expansion for NOFN enabling the C+L band transmission, two folding the total fiber capacity.

    关键词: Wavelength Division Multiplexing (WDM),Conventional (C)-band,Long (L)-band,Elastic Optical Networks (EON),National Optical Fiber Network (NOFN),Internet of Things (IoT)

    更新于2025-09-16 10:30:52

  • [IEEE 2019 18th International Conference on Optical Communications and Networks (ICOCN) - Huangshan, China (2019.8.5-2019.8.8)] 2019 18th International Conference on Optical Communications and Networks (ICOCN) - Network Nervous System: When Multilayer Telemetry Meets AI-assisted Service Provisioning : (Invited Paper)

    摘要: We present a network nervous system (NNS) that leverages hybrid centralized/distributed processing to achieve automatic and effective network control and management (NC&M) for realizing artificial intelligence (AI) assisted service provisioning in IP over elastic optical networks (IPoEONs).

    关键词: Artificial intelligence (AI),Multilayer in-band network telemetry (ML-INT),Performance monitoring and troubleshooting,Elastic optical networks (EONs)

    更新于2025-09-16 10:30:52

  • Resource Efficient Online Routing Enabled Translucent Space Division Multiplexing Based Elastic Optical Networks

    摘要: In the current work, we focus on the optimization of lightpath routing in a Space Division Multiplexing based Elastic Optical Network (SDM-b-EON) for which we propose an online routing algorithm, named as Resource Efficient Online Routing Algorithm with Regeneration (REORAwR) which, in addition to ensuring the routing of translucent lightpaths through spectral super-channels over spatial modes links also accounts for the presence of the transceivers in the network. The proposed REORAwR algorithm is tunable such that it can either aim to reduce the bandwidth blocking probability or can aim to minimize the overall consumed power. In regard to regeneration, we investigate two scenarios which differ in their regeneration variability level in addition to the adjustment of modulation formats as per the transmission route characteristics. We conduct extensive simulations considering two realistic network topologies and realistic transmission reach values. The obtained results demonstrate that significant benefits can be obtained in regard to the utilization of both the major network resources (spectrum and transceivers) when regeneration is conducted with complete flexibility and modulation format conversion is also permitted at every node of the SDM-b-EON. In addition, the obtained results also show that when compared to spectrum usage, in terms of the overall consumed power, the performance profits which can be obtained in a translucent SDM-b-EON are very small.

    关键词: online routing,power-efficiency,elastic optical networks,regeneration,space division multiplexing

    更新于2025-09-16 10:30:52