{"title":"Coflow transmission optimization for satellite distributed computing: a joint strategy of delay-balanced routing and conflict-avoiding optical circuit switching scheduling","authors":"Zhao Li;Hui Yang;QiuYan Yao;Miao Hao;Yun Teng;Jie Zhang","doi":"10.1364/JOCN.581247","DOIUrl":"https://doi.org/10.1364/JOCN.581247","url":null,"abstract":"As the pressure on satellite on-orbit data processing and information backhaul increases, the demand for satellite computing continues to grow. Satellite optical networks must efficiently process the massive data flows generated by satellite distributed computing. However, satellite optical networks face unique challenges. Limited inter-satellite links (ISLs) lead to fierce link contention and significant queuing delays. The non-negligible long-distance propagation delay and optical circuit switch (OCS) reconstruction delay in multi-hop topology introduce significant multi-hop node delays. In addition, given the bandwidth exclusivity of the OCS, it is necessary to use intelligent optical circuit timing scheduling to achieve efficient concurrent transmission, thereby maximizing the utilization of idle links in the network while minimizing the overall reconstruction overhead. These complexities make it difficult for existing coflow scheduling schemes to be directly applied to satellite optical networks. To address these issues, this paper proposes an innovative joint routing and optical circuit scheduling for coflow. The scheme consists of two phases. First, a queue-aware Dijkstra coflow routing (QAD-CR) algorithm is proposed, achieving an effective trade-off between contention queuing delay and multi-hop node delay for coflow routing. Second, a bottleneck-aware graph theory is designed to optimize the optical circuit scheduling. By constructing an optical circuit conflict graph to model the scheduling constraints between flows, a greedy coflow matching algorithm based on maximum degree conflict first (MDCF) is proposed to heuristically find the maximum independent sets, thereby effectively resolving optical circuit conflicts. Simulation results demonstrate that the proposed joint optimization algorithm of coflow routing and optical circuit scheduling significantly reduces coflow completion time (CCT).","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"18 5","pages":"524-535"},"PeriodicalIF":4.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147796150","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}
Varsha Lohani;Raul Munoz;Ramon Casellas;Ioannis Tomkos;Dan M. Marom
{"title":"Dynamic routing and resource assignment for multi-granular optical node architectures with optical grooming","authors":"Varsha Lohani;Raul Munoz;Ramon Casellas;Ioannis Tomkos;Dan M. Marom","doi":"10.1364/JOCN.588602","DOIUrl":"https://doi.org/10.1364/JOCN.588602","url":null,"abstract":"As bandwidth demands continue to rise, wavelength-level granularity in wavelength division multiplexing (WDM)-based optical networks becomes a limiting factor, as scaling such networks places increasing load on the WDM nodes. This motivates a shift toward coarser switching granularities. Node architectures will thus evolve from wavelength switching to waveband-selective switching and eventually to fiber cross-connects as capacity requirements grow. Multi-granular optical node (MG-ON) architectures support this transition by integrating wavelength, waveband, and spatial switching. However, during dynamic routing and resource assignment, MG-ON architectures may suffer from inefficient utilization of wavelength, waveband, and spatial resources. This can lead to increased connection request blocking. To address this, we propose a dynamic routing and resource assignment algorithm combined with an augmented optical grooming strategy for MG-ON networks. We evaluate the proposed approach in terms of connection accommodation, switch count, and per-switch port requirements across multiple network configurations. Its performance is compared with baseline WDM networks and existing MG-ON grooming strategies.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"18 5","pages":"394-408"},"PeriodicalIF":4.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665532","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}
Yi An;Jie Zhang;Wei Wang;Zijun Li;Zhuangzhuang Ma;Chongzhu Huang;Yajie Li;Yongli Zhao
{"title":"Proactive connectivity handover in dynamic optical satellite networks","authors":"Yi An;Jie Zhang;Wei Wang;Zijun Li;Zhuangzhuang Ma;Chongzhu Huang;Yajie Li;Yongli Zhao","doi":"10.1364/JOCN.588595","DOIUrl":"https://doi.org/10.1364/JOCN.588595","url":null,"abstract":"The reduction in satellite launch costs has made the deployment of a large number of low Earth orbit (LEO) satellites possible. These satellites establish laser inter-satellite links (ISLs) to provide global coverage and high-speed data transmission. However, due to the mobility nature of satellite platforms, the wireless laser link is not as stable as the terrestrial fiber link. Laser ISLs are subject to predictable failures and random failures, both of which frequently cause connectivity handovers and transmission interruptions. To manage such challenges, this work tries to optimize the connectivity handover process with the aim of reducing the total interruption duration. We first define a dynamic satellite network model by introducing the time-to-disconnection risk for each ISL. Based on the network model, we design a proactive connectivity handover algorithm to determine the switching time and path for each handover operation, instead of waiting till the connectivity is interrupted. Simulation results demonstrate that the proposed proactive handover algorithm can effectively reduce the interruption rate by 41.37% and improve the maximum reliable transmission time by up to 31.89% compared to the baseline SP algorithm.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"18 5","pages":"512-523"},"PeriodicalIF":4.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147796153","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}
{"title":"Field trial of an LLM-powered AI agent for autonomous optical networks: a full-lifecycle demonstration","authors":"Xiaomin Liu;Yihao Zhang;Qizhi Qiu;Yuming Cheng;Weisheng Hu;Qunbi Zhuge","doi":"10.1364/JOCN.575402","DOIUrl":"https://doi.org/10.1364/JOCN.575402","url":null,"abstract":"Recent advancements in large language models (LLMs) have enabled the development of AI agents capable of complex problem-solving and autonomous operations. This work demonstrates the first, to our knowledge, field trial of an LLM-powered AI agent for autonomous optical networks (AONs). The AI agent addresses challenges in managing complex optical network lifecycles. Three operational modes—LLM-native, LLM-centric, and rule-centric—are proposed to enable the management of multiple typical events during the optical network lifecycle. Demonstrated on a 440 km field trial testbed, the AI agent shows advanced capabilities such as wavelength add/drop, soft/hard failure management, and optical power optimization. Comparative analysis highlights LLMs’ potential in advancing AON operations, showcasing their role in achieving intelligent, efficient, and autonomous optical network management.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"18 5","pages":"A179-A190"},"PeriodicalIF":4.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147696208","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}
{"title":"Generalizable fault-tracing framework for optical networks leveraging RDC-PSO-SNN on imbalanced alarm data","authors":"Yuxuan Gao;Bingli Guo;Cristina Rottondi;Andrea Bianco;Shanguo Huang","doi":"10.1364/JOCN.585416","DOIUrl":"https://doi.org/10.1364/JOCN.585416","url":null,"abstract":"The stable operation of optical networks is heavily reliant on efficient fault management. Data-driven intelligent methods have shown great promise for this task, yet their performance is severely hampered by the extreme imbalance inherent in real-world alarm data, where common faults produce abundant samples while rare faults yield few or even none. To address this critical challenge, we propose a fault-tracing scheme based on a repulsion-driven chaotic particle swarm optimization–Siamese neural network (RDC-PSO-SNN). At the data level, our approach leverages a Siamese neural network (SNN), which learns a similarity metric between alarm samples instead of direct input–output mappings. This design enables the model to effectively cluster and identify root alarms, even for fault types absent from the training data, thus directly tackling the data imbalance issue. At the model level, we introduce a RDC-PSO algorithm to automate and optimize the hyperparameter tuning of the SNN. By incorporating a particle collision strategy, RDC-PSO effectively prevents premature convergence to local optima, ensuring robust model performance. Evaluations on real operational data demonstrate the superiority of our scheme: the RDC-PSO-SNN model achieves an accuracy of up to 98.87% and maintains a high accuracy of 92.20% even when three fault types are completely unseen during training, significantly outperforming traditional artificial neural network (ANN) and convolutional neural network (CNN) models. Furthermore, the RDC-PSO algorithm reduced the computational complexity by approximately 17-fold and shortened the hyperparameter search time by nearly two orders of magnitude compared to the exhaustive method. The proposed scheme offers a highly accurate, generalizable, and efficient solution for fault tracing in practical optical networks plagued by extreme data imbalance.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"18 3","pages":"301-314"},"PeriodicalIF":4.3,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299752","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}
Bojun Zhang;Jiawei Zhang;Huitao Zhou;Xingyi Zhang;Zhiqun Gu;Yuanhang Shi;Yuefeng Ji
{"title":"Experimental demonstration of a collaborative centralized and distributed control plane for multi-granularity switching in an all-optical metro spine-leaf network","authors":"Bojun Zhang;Jiawei Zhang;Huitao Zhou;Xingyi Zhang;Zhiqun Gu;Yuanhang Shi;Yuefeng Ji","doi":"10.1364/JOCN.581084","DOIUrl":"https://doi.org/10.1364/JOCN.581084","url":null,"abstract":"With the rapid growth of “east-to-west” traffic, the future metro network can be viewed as a “hyperscale data center network.” Hybrid optical switching technology enables wavelength and sub-wavelength connectivity for metro-converged services, addressing diverse service requirements. However, the coexistence of such multi-granularity switching resources in the metro network poses new challenges to the network control plane, which is required to provide capabilities including unified management of heterogeneous resources for long-duration services and fast switching for burst services. In this paper, we propose and demonstrate a collaborative centralized and distributed control plane for multi-granularity switching in an all-optical metro spine-leaf network testbed based on an integrated FPGA and an intelligent management and control system. To achieve efficient and lossless fast optical time-slot switching, we propose an optical time-slot alignment mechanism and implement nanosecond-level time synchronization. We also integrate precise frequency synchronization, which serves to reduce the receiver overhead incurred by two consecutive time slots from different sources. Finally, experimental results demonstrate that the proposed control plane implements dynamic control of hybrid optical wavelength and optical time-slot switching, based on programmable centralized and distributed control packets.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"18 3","pages":"288-300"},"PeriodicalIF":4.3,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299699","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}
{"title":"Hybrid 10/100 Gbps laser inter-satellite link planning in optical satellite networks","authors":"Lihan Zhao;Yongli Zhao;Wei Wang;Kunpeng Zheng;Hua Wang;Zijian Cui;Jie Zhang","doi":"10.1364/JOCN.583119","DOIUrl":"https://doi.org/10.1364/JOCN.583119","url":null,"abstract":"With the continuously decreasing cost of launching satellites, low-Earth-orbit (LEO) optical satellite networks (OSNs) have emerged as an important research topic. By using laser communication, 10 Gbps laser inter-satellite links (LISLs) have been fully deployed, while 100 Gbps LISLs are rapidly advancing and are expected to become key components of future networks. With the expected growth in satellite-delivered service demand, OSNs will inevitably enter a hybrid stage in which 10 and 100 Gbps LISLs coexist. However, such coexistence may cause traffic bottlenecks of 10 Gbps LISLs and underutilization of 100 Gbps LISLs in LEO OSNs. From a network planning perspective, this paper focuses on developing efficient hybrid 10/100 Gbps LISL planning algorithms. We first propose a uniformly connected 100 Gbps LISL planning algorithm (UC-100GPA) to ensure the widespread deployment of 100 Gbps LISLs across the network. Based on this, a genetic algorithm for 100 Gbps LISL planning optimization (GA-100GPO) is proposed to further determine the sub-optimal deployment ratio of 100 Gbps LISLs in both the intra-orbit plane (intra-OP) and the inter-orbit plane (inter-OP). Simulation results show that UC-100GPA reduces the blocking ratio by 30.32% and 14.88% compared to deployments without 100 Gbps LISLs and with intra-OP 100 Gbps LISLs, respectively. When the traffic load is 800 Erlang, GA-100GPO achieves a blocking ratio of only 0.56% under a sub-optimal deployment ratio of 63.38% intra-OP and 36.62% inter-OP.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"18 3","pages":"263-276"},"PeriodicalIF":4.3,"publicationDate":"2026-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299730","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}
{"title":"Physical layer-aware deep reinforcement learning with advantage function stabilization for dynamic RMSA in elastic optical networks","authors":"Haojie Wang;Yixin Wang;Yongli Zhao;Jie Zhang","doi":"10.1364/JOCN.577029","DOIUrl":"https://doi.org/10.1364/JOCN.577029","url":null,"abstract":"Dynamic routing, modulation, and spectrum assignment (RMSA) in elastic optical networks (EONs) requires joint optimization considering complex physical layer impairments. While deep reinforcement learning (DRL) has shown promise for RMSA, existing methods face two fundamental limitations: (i) rigid distance-adaptive modulation rules that underutilize spectrum resources and (ii) value estimation bias in continuing tasks that prevents convergence to optimal policies. This paper proposes a physical layer-aware DRL framework that addresses both limitations. First, we incorporate reward centering to eliminate value estimation bias in continuing tasks, enabling the agent to distinguish fine-grained policy differences. Second, the framework enables autonomous joint optimization of routing and modulation selection, removing reliance on distance-based rules. Simulations on NSFNET and COST239 demonstrate two key results: (i) reward centering reduces service blocking probability by 16% compared to standard DRL under identical constraints, and (ii) autonomous modulation selection reduces blocking by up to 77% in high-load regimes where distance-adaptive methods saturate at approximately 16%. Physical layer analysis reveals that performance gains are achieved by operating closer to transmission limits, with the average GSNR margin reduced from 7.1 to 2.7 dB.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"18 3","pages":"250-262"},"PeriodicalIF":4.3,"publicationDate":"2026-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146223823","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}
{"title":"Network-calculus-based analytical model for deterministic TDM-PON","authors":"Lizhu Liu;Chen Su;Zhiqun Gu;Yuefeng Ji;Jiawei Zhang","doi":"10.1364/JOCN.572958","DOIUrl":"https://doi.org/10.1364/JOCN.572958","url":null,"abstract":"Time-division multiplexing passive optical networks (TDM-PONs) are emerging as one of the most promising access network technologies for the industrial Internet due to their advantages of high bandwidth, low cost, and strong resistance to electromagnetic interference. Various applications within the industrial Internet, such as mobile robots and safety emergency stop applications, require TDM-PON to possess deterministic transmission capabilities. In response, a series of solutions, such as cooperative DBA (Co-DBA) and deterministic DBA (det-DBA), were proposed to enhance the deterministic network transmission capacity of TDM-PON. However, they were limited by focusing on some customized optimization problems but lacked a comprehensive analytical model to evaluate the inherent absolute performance upper bound under worst-case conditions and the practically guaranteed performance upper bound under specific scheduling strategies, which is crucial for describing determinism. To the best of our knowledge, we are the first to apply network calculus in TDM-PON to theoretically evaluate its performance. Our analytical model considers two fundamental bounds: the adversarial transmission window scheduling (A-TWS) bound, which describes the inherent performance bound under the most unfavorable scheduling, and the strategy-specific transmission window scheduling (SS-TWS) bound, which provides achievable performance guarantees under a particular allocation strategy. Based on this, we first established the arrival curve models for traffic flows and the service curve models for three bandwidth allocation schemes. Subsequently, we conducted a performance analysis of the delay and buffer size. Our results quantitatively compare the A-TWS and SS-TWS bounds of each bandwidth allocation scheme, intuitively contrasting the gap between the theoretical worst-case scenario and the practically achievable performance, which contributes to the performance evaluation of TDM-PON.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"18 3","pages":"234-249"},"PeriodicalIF":4.3,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146223601","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}
Nicolas Jara;Hermann Pempelfort;Erick Viera;Patricia Morales;Gerardo Rubino;Alejandra Beghelli
{"title":"SPRINT: a fast planning engine for ZR+-enabled hop-by-hop IPoWDM networks","authors":"Nicolas Jara;Hermann Pempelfort;Erick Viera;Patricia Morales;Gerardo Rubino;Alejandra Beghelli","doi":"10.1364/JOCN.576513","DOIUrl":"https://doi.org/10.1364/JOCN.576513","url":null,"abstract":"ZR+ pluggables have the potential to transform the optical core landscape, paving the way for new, to our knowledge, network services enabled by a reconfigurable infrastructure. However, reconfigurability brings challenges. One of the challenges among them is the fast and accurate planning tools for networks with stochastic demands. In this paper, we introduce SPRINT: a fast and accurate planning engine for ZR+-enabled hop-by-hop IPoWDM networks. By leveraging a novel, to the best of our knowledge, recurrence-based approach, SPRINT can determine the location and number of ZR+ pluggables needed across an IPoWDM network to meet a target quality of service at a very low computational cost. We compared SPRINT to conventional simulation-based dimensioning techniques in real-world network topologies exhibiting different structural, spatial, and spectral features under different traffic loads. Results show SPRINT is up to four orders of magnitude faster while maintaining a high average accuracy of 90%. This speedup is critical when evaluating a number of envisaged scenarios, while accuracy is key to avoid the high cost of overprovisioning. SPRINT supports both uniform and non-uniform dimensioning strategies, providing flexibility in resource allocation and cost reductions in network planning. By addressing the lack of open fast dimensioning tools for hop-by-hop IPoWDM networks, this work contributes to the advancement of the design of next-generation ZR+-based optical networks.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"18 3","pages":"222-233"},"PeriodicalIF":4.3,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146176011","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}