Journal of Optical Communications and Networking最新文献_第10页

CLARA+: dual machine learning optimized resource assignment for translucent SDM-EONs CLARA+：针对半透明 SDM EON 的双机器学习优化资源分配

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2024-09-09 DOI: 10.1364/JOCN.527846

Shrinivas Petale;Suresh Subramaniam

{"title":"CLARA+: dual machine learning optimized resource assignment for translucent SDM-EONs","authors":"Shrinivas Petale;Suresh Subramaniam","doi":"10.1364/JOCN.527846","DOIUrl":"10.1364/JOCN.527846","url":null,"abstract":"Space division multiplexed elastic optical networks (SDM-EONs) enhance service provisioning by offering increased fiber capacity through the use of flexible spectrum allocation, multiple spatial modes, and efficient modulations. In these networks, the problem of allocating resources for connections involves assigning routes, modulations, cores, and spectrum (RMCSA). However, the presence of intercore crosstalk (XT) between ongoing connections on adjacent cores can degrade signal transmission, necessitating proper handling during resource assignment. The use of multiple modulations in translucent optical networks presents a challenge in balancing spectrum utilization and XT accumulation. In this paper, we propose a dual-optimized RMCSA algorithm called the Capacity Loss Aware Resource Assignment Algorithm (CLARA+), which optimizes network capacity utilization to improve resource availability and network performance. A two-step machine-learning-enabled optimization is used to improve the resource allocations by balancing the tradeoff between spectrum utilization and XT accumulation with the help of feature extraction from the network. Extensive simulations demonstrate that CLARA+ significantly reduces bandwidth blocking probability and enhances resource utilization across various scenarios. We show that our strategy applied to a few algorithms from the literature improves the bandwidth blocking probability by up to three orders of magnitude. The algorithm effectively balances spectrum utilization and XT accumulation more efficiently compared to existing algorithms in the literature.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"16 10","pages":"F1-F12"},"PeriodicalIF":4.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141802135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficient O-type mapping and routing of large-scale neural networks to torus-based ONoCs 大规模神经网络到基于环的 ONoC 的高效 O 型映射和路由

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2024-08-26 DOI: 10.1364/JOCN.525666

Qiuyan Yao;Daqing Meng;Hui Yang;Nan Feng;Jie Zhang

{"title":"Efficient O-type mapping and routing of large-scale neural networks to torus-based ONoCs","authors":"Qiuyan Yao;Daqing Meng;Hui Yang;Nan Feng;Jie Zhang","doi":"10.1364/JOCN.525666","DOIUrl":"https://doi.org/10.1364/JOCN.525666","url":null,"abstract":"The rapid development of artificial intelligence has accelerated the arrival of the era of large models. Artificial-neural-network-based large models typically have millions to billions of parameters, and their training and reasoning processes put strict requirements on hardware, especially at the chip level, in terms of interconnection bandwidth, processing speed, latency, etc. The optical network-on-chip (ONoC) is a new interconnection technology that connects IP cores through a network of optical waveguides. Due to its incomparable advantages such as low loss, high throughput, and low delay, this communication mode has gradually become the key technology to improve the efficiency of large models. At present, the ONoC has been used to reduce the interconnection complexity of neural network accelerators, where neural network models are reshaped to map into the process elements of the ONoC and communicate at high speed on chip. In this paper, we first propose a torus-based O-type mapping strategy to realize efficient mapping of neuron groups to the chip. Additionally, an array congestion information-based low-congestion arbitrator is designed and then a multi-path low-congestion routing algorithm named TMLA is presented to alleviate array congestion and disperse the routing pressure of each path. Results demonstrate that the proposed mapping and routing scheme can reduce the average network delay without additional loss when the injection rate is relatively large, which provides a valuable reference for the research of neural network acceleration.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"16 9","pages":"918-928"},"PeriodicalIF":4.0,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142077639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic routing, spatial channel, and spectrum assignment in spatial channel networks based on a granularity switching threshold 基于粒度切换阈值的空间信道网络中的动态路由、空间信道和频谱分配

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2024-08-26 DOI: 10.1364/JOCN.523666

Yu Zheng;Weichang Zheng;Mingcong Yang;Cheng Jin;Chenxiao Zhang;Yongbing Zhang

{"title":"Dynamic routing, spatial channel, and spectrum assignment in spatial channel networks based on a granularity switching threshold","authors":"Yu Zheng;Weichang Zheng;Mingcong Yang;Cheng Jin;Chenxiao Zhang;Yongbing Zhang","doi":"10.1364/JOCN.523666","DOIUrl":"https://doi.org/10.1364/JOCN.523666","url":null,"abstract":"As the demand for data transmission continues to grow, it is expected that the single-carrier bit rate will reach 1.4 Tb/s, necessitating a 14 Tb/s optical interface for efficient traffic transmissions. In such scenarios, a single request could occupy the entire C-band, and therefore such a large request can be transmitted without being groomed with others, eliminating the need for wavelength cross-connect (WXC). The spatial channel network (SCN) architecture has been proposed to address this issue. In SCNs, there are two types of groomed space lanes (SLs): spatial bypass SLs, which enable end-to-end transmission without the need for WXCs, and spectrally groomed SLs, equipped with WXCs and guardbands (GBs) to integrate requests from different nodes for transmission. Because of this characteristic of the SCN, the traditional first fit algorithm cannot allocate SLs efficiently for these two distinct SLs. In this paper, we propose a dynamic routing, spatial channel, and spectrum assignment (RSCSA) algorithm that employs a granularity switching threshold to differentiate incoming requests with different SLs. The proposed algorithm allocates smaller requests to spectrally groomed SLs and larger requests to spatial bypass SLs. This approach not only maintains network flexibility but also ensures transmission efficiency. We have identified by simulation the most suitable granularity switching threshold for given networks and request matrices.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"16 9","pages":"905-917"},"PeriodicalIF":4.0,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142077619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Semi-automatic line-system provisioning with an integrated physical-parameter-aware methodology: field verification and operational feasibility 采用综合物理参数感知方法进行半自动线路系统调配：实地验证和操作可行性

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2024-08-23 DOI: 10.1364/JOCN.524669

Hideki Nishizawa;Giacomo Borraccini;Takeo Sasai;Yue-Kai Huang;Toru Mano;Kazuya Anazawa;Masatoshi Namiki;Soichiroh Usui;Tatsuya Matsumura;Yoshiaki Sone;Zehao Wang;Seiji Okamoto;Takeru Inoue;Ezra Ip;Andrea D'Amico;Tingjun Chen;Vittorio Curri;Ting Wang;Koji Asahi;Koichi Takasugi

{"title":"Semi-automatic line-system provisioning with an integrated physical-parameter-aware methodology: field verification and operational feasibility","authors":"Hideki Nishizawa;Giacomo Borraccini;Takeo Sasai;Yue-Kai Huang;Toru Mano;Kazuya Anazawa;Masatoshi Namiki;Soichiroh Usui;Tatsuya Matsumura;Yoshiaki Sone;Zehao Wang;Seiji Okamoto;Takeru Inoue;Ezra Ip;Andrea D'Amico;Tingjun Chen;Vittorio Curri;Ting Wang;Koji Asahi;Koichi Takasugi","doi":"10.1364/JOCN.524669","DOIUrl":"https://doi.org/10.1364/JOCN.524669","url":null,"abstract":"We propose methods and an architecture to conduct measurements and optimize newly installed optical fiber line systems semi-automatically using integrated physics-aware technologies in a data center interconnection (DCI) transmission scenario. We demonstrate, for the first time to our knowledge, digital longitudinal monitoring (DLM) and optical line system (OLS) physical parameter calibration working together in real-time to extract physical link parameters for fast optical fiber line systems provisioning. Our methodology has the following advantages over traditional design: a minimized footprint at user sites, accurate estimation of the necessary optical network characteristics via complementary telemetry technologies, and the capability to conduct all operation work remotely. The last feature is crucial, as it enables remote operation to implement network design settings for immediate response to quality of transmission (QoT) degradation and reversion in the case of unforeseen problems. We successfully performed semi-automatic line system provisioning over field fiber network facilities at Duke University, Durham, North Carolina. The tasks of parameter retrieval, equipment setting optimization, and system setup/provisioning were completed within 1 h. The field operation was supervised by on-duty personnel who could access the system remotely from different time zones. By comparing Q-factor estimates calculated from the extracted link parameters with measured results from 400G transceivers, we confirmed that our methodology has a reduction in the QoT prediction errors (\u0000<tex>${pm}0.3;{rm dB}$</tex>\u0000) over existing designs (\u0000<tex>${pm}0.6;{rm dB}$</tex>\u0000).","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"16 9","pages":"894-904"},"PeriodicalIF":4.0,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142045133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Green laser inter-satellite link planning in satellite optical networks: trading off the battery lifetime and network throughput using numerical quantization 卫星光网络中的绿激光卫星间链路规划：利用数值量化权衡电池寿命和网络吞吐量

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2024-08-21 DOI: 10.1364/JOCN.527910

Yu Liu;Xin Li;Daixuan Li;Chenyu Zhao;Shanguo Huang

{"title":"Green laser inter-satellite link planning in satellite optical networks: trading off the battery lifetime and network throughput using numerical quantization","authors":"Yu Liu;Xin Li;Daixuan Li;Chenyu Zhao;Shanguo Huang","doi":"10.1364/JOCN.527910","DOIUrl":"10.1364/JOCN.527910","url":null,"abstract":"In satellite optical networks (SONs), laser inter-satellite links (LISLs) are energy hungry to drive pointing, acquisition, and tracking systems and laser devices to maintain fine link pointing and provide communication services. Rechargeable batteries are the sole energy support for satellites in the eclipse region, and unrestrained use of batteries may accelerate battery aging and shorten the satellite operation period. Real-time sleep/activate control on demand is not applicable to reduce the energy consumption of LISLs because waiting for link pointing delay is intolerable for most traffic requests, and aperiodically changing LISLs’ working states may affect the routing reliability in SONs. For the above problem, this paper proposes green LISL planning (GreenLP) to periodically switch LISLs’ working states to prolong the battery lifetime. Considering the possible degradation of network throughput by sleeping LISLs, this paper models GreenLP as a double-objective optimization problem from the perspective of topology design, and two topology features are expanded based on traffic prediction to numerically quantify LISLs’ potential importance. Simulation results indicate that, compared with existing schemes, GreenLP reduces battery lifetime consumption by 8.93% and the probability of request blocking by 5.65%. Numerical analysis shows that the expanded node betweenness centrality has the effectiveness and universality to quantify LISLs’ potential importance on network throughput.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"16 9","pages":"868-880"},"PeriodicalIF":4.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141809202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neural-network-based hardware trojan attack prediction and security defense mechanism in optical networks-on-chip 基于神经网络的光网络芯片硬件木马攻击预测与安全防御机制

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2024-08-21 DOI: 10.1364/JOCN.519470

Xiangyu He;Pengxing Guo;Jiahao Zhou;Jingsi Li;Fan Zhang;Weigang Hou;Lei Guo

{"title":"Neural-network-based hardware trojan attack prediction and security defense mechanism in optical networks-on-chip","authors":"Xiangyu He;Pengxing Guo;Jiahao Zhou;Jingsi Li;Fan Zhang;Weigang Hou;Lei Guo","doi":"10.1364/JOCN.519470","DOIUrl":"10.1364/JOCN.519470","url":null,"abstract":"Optical networks-on-chip (ONoCs) have emerged as a compelling platform for many-core systems owing to their notable attributes, including high bandwidth, low latency, and energy efficiency. Nonetheless, the integration of microring resonators (MRs) in ONoCs exposes them to vulnerabilities associated with hardware trojans (HTs). In response, we propose an innovative strategy that combines deep-learning-based HT attack prediction with a robust security defense mechanism to fortify the resilience of ONoCs. For HT attack prediction, we employ a multiple-inputs and multiple-outputs long short-term memory neural network model. This model serves to identify susceptible MRs by forecasting alterations in traffic patterns and detecting internal faults within optical routing nodes. On the defensive front, we introduce a fine-grained defense mechanism based on MR faults. This mechanism effectively thwarts HTs during the optical routing process, thereby optimizing node utilization in ONoCs while concurrently upholding security and reliability. Simulation outcomes underscore the efficacy of the proposed HT attack prediction mechanism, demonstrating high accuracy with a loss rate of less than 0.7%. The measured mean absolute error and root mean squared error stand at 0.045 and 0.07, respectively. Furthermore, when compared to conventional coarse-grained node-based defense algorithms, our solution achieves noteworthy reductions of up to 16.2%, 43.72%, and 44.86% in packet loss rate, insertion loss, and crosstalk noise, respectively.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"16 9","pages":"881-893"},"PeriodicalIF":4.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141807023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Introduction to the GLOBECOM 2023 Optical Networks and Systems Symposium Special Issue GLOBECOM 2023 光网络与系统研讨会特刊简介

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2024-08-21 DOI: 10.1364/JOCN.539472

Nicola Andriolli;Jerzy Domzal;Elaine Wong

引用次数: 0

Latitude- and time-zone-aware load balancing in optical satellite networks 光学卫星网络中的纬度和时区感知负载平衡

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2024-08-19 DOI: 10.1364/JOCN.525353

Kexin Gao;Wei Wang;Yongli Zhao;Yanran Xiao;Xin Zhang;Liyazhou Hu;Jie Zhang

引用次数: 0

PRODIGY+: a robust progressive upgrade approach for elastic optical networks PRODIGY+：弹性光网络的稳健渐进升级方法 [特邀]

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2024-08-16 DOI: 10.1364/JOCN.525392

Shrinivas Petale;Aleksandra Knapinska;Egemen Erbayat;Piotr Lechowicz;Krzysztof Walkowiak;Shih-Chun Lin;Motoharu Matsuura;Hiroshi Hasegawa;Suresh Subramaniam

{"title":"PRODIGY+: a robust progressive upgrade approach for elastic optical networks","authors":"Shrinivas Petale;Aleksandra Knapinska;Egemen Erbayat;Piotr Lechowicz;Krzysztof Walkowiak;Shih-Chun Lin;Motoharu Matsuura;Hiroshi Hasegawa;Suresh Subramaniam","doi":"10.1364/JOCN.525392","DOIUrl":"10.1364/JOCN.525392","url":null,"abstract":"Elastic optical networks (EONs) operating in the C-band have been widely deployed worldwide. However, two major technologies—multiband elastic optical networks (MB-EONs) and space division multiplexed elastic optical networks (SDM-EONs)—can significantly increase network capacity beyond traditional EONs. A one-time greenfield deployment of these flexible-grid technologies may not be practical, as existing investments in flexible-grid EONs need to be preserved and ongoing services must face minimal disruption. Therefore, we envision the coexistence of flexible-grid, multiband, and multicore technologies during the brownfield migration. Each technology represents a tradeoff between higher capacity and greater deployment overhead, directly impacting network performance. Moreover, as traffic demands continue rising, capacity exhaustion becomes inevitable. Considering the different characteristics of these technologies, we propose a robust network planning solution called Progressive Optics Deployment and Integration for Growing Yields (PRODIGY+) to gradually migrate current C-band EONs. PRODIGY+ employs proactive measures inspired by the Swiss Cheese Model, making the network robust to traffic peaks while meeting service level agreements. The upgrade strategy enables a gradual transition to minimize migration costs while continuously supporting increasing traffic demands. We provide a detailed comparison of our proposed PRODIGY+ strategy against baseline strategies, demonstrating its superior performance.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"16 9","pages":"E48-E60"},"PeriodicalIF":4.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141829895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DRL-based progressive recovery for quantum-key-distribution networks 基于 DRL 的量子密钥分发网络渐进恢复技术

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2024-08-15 DOI: 10.1364/JOCN.526014

Mengyao Li;Qiaolun Zhang;Alberto Gatto;Stefano Bregni;Giacomo Verticale;Massimo Tornatore

{"title":"DRL-based progressive recovery for quantum-key-distribution networks","authors":"Mengyao Li;Qiaolun Zhang;Alberto Gatto;Stefano Bregni;Giacomo Verticale;Massimo Tornatore","doi":"10.1364/JOCN.526014","DOIUrl":"10.1364/JOCN.526014","url":null,"abstract":"With progressive network recovery, operators restore network connectivity after massive failures along multiple stages, by identifying the optimal sequence of repair actions to maximize carried live traffic. Motivated by the initial deployments of quantum-key-distribution (QKD) over optical networks appearing in several locations worldwide, in this work we model and solve the progressive QKD network recovery (PQNR) problem in QKD networks to accelerate the recovery after failures. We formulate an integer linear programming (ILP) model to optimize the achievable accumulative key rates during recovery for four different QKD network architectures, considering different capabilities of using trusted relay and optical bypass. Due to the computational limitations of the ILP model, we propose a deep reinforcement learning (DRL) algorithm based on a twin delayed deep deterministic policy gradients (TD3) framework to solve the PQNR problem for large-scale topologies. Simulation results show that our proposed algorithm approaches well compared to the optimal solution and outperforms several baseline algorithms. Moreover, using optical bypass jointly with trusted relay can improve the performance in terms of the key rate by 14% and 18% compared to the cases where only optical bypass and only trusted relay are applied, respectively.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"16 9","pages":"E36-E47"},"PeriodicalIF":4.0,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141641668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0