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On the Need of Neuromorphic Twins to Detect Denial-of-Service Attacks on Communication Networks IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-03-14 Holger Boche, Rafael F. Schaefer, H. Vincent Poor, Frank H. P. Fitzek
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Asymptotically Optimal Coded Distributed Computing via Combinatorial Designs IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-03-07 Minquan Cheng, Youlong Wu, Xianxian Li, Dianhua Wu
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DynATOS$+$: A Network Telemetry System for Dynamic Traffic and Query Workloads IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-03-06 Chris Misa, Ramakrishnan Durairajan, Reza Rejaie, Walter Willinger
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Optimal Edge Caching For Individualized Demand Dynamics IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-03-04 Guocong Quan, Atilla Eryilmaz, Ness B. Shroff
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Gesture Recognition Using Visible Light on Mobile Devices IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-03-01 Zimo Liao, Zhicheng Luo, Qianyi Huang, Linfeng Zhang, Fan Wu, Qian Zhang, Guihai Chen
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Optimal Push and Pull-Based Edge Caching For Dynamic Content IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-28 Bahman Abolhassani, John Tadrous, Atilla Eryilmaz, Serdar Yüksel
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Parallel Placement of Virtualized Network Functions via Federated Deep Reinforcement Learning IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-28 Haojun Huang, Jialin Tian, Geyong Min, Hao Yin, Cheng Zeng, Yangming Zhao, Dapeng Oliver Wu
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Online Multicast Traffic Engineering for Multi-View Videos With View Synthesis in SDN IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-28 Sheng-Hao Chiang, Chih-Hang Wang, De-Nian Yang, Wanjiun Liao, Wen-Tsuen Chen
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Asynchronous Load Balancing and Auto-Scaling: Mean-Field Limit and Optimal Design IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-28 Jonatha Anselmi
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Parallelized In-Network Aggregation for Failure Repair in Erasure-Coded Storage Systems IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-26 Junxu Xia, Lailong Luo, Bowen Sun, Geyao Cheng, Deke Guo
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: High-Performance eBPF-Based Event-Driven, Shared-Memory Processing for Serverless Computing IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-22 Shixiong Qi, Leslie Monis, Ziteng Zeng, Ian-Chin Wang, K. K. Ramakrishnan
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Load Balancing With Multi-Level Signals for Lossless Datacenter Networks IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-22 Jinbin Hu, Chaoliang Zeng, Zilong Wang, Junxue Zhang, Kun Guo, Hong Xu, Jiawei Huang, Kai Chen
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Practical and Efficient Coded Transmission for Full-Duplex Relay Networks Without CSI IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-21 Chao Chen, Seung Jun Baek, Rui Yin, Shengtian Yang, Xiaohan Yu, Chuanhuang Li
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Incentive Mechanisms for Online Task Offloading With Privacy-Preserving in UAV-Assisted Mobile Edge Computing IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-20 Renli Zhang, Ruiting Zhou, Yufeng Wang, Haisheng Tan, Kun He
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Understanding Hidden Knowledge in Generic Graphs IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-20 Haodi Ping, Yongcai Wang, Yu Zhang, Deying Li, Lihua Xie
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Blockchain for Data Sharing at the Network Edge: Trade-Off Between Capability and Security IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-20 Yixin Li, Liang Liang, Yunjian Jia, Wanli Wen, Chaowei Tang, Zhengchuan Chen
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IEEE/ACM Transactions on Networking Publication Information IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-19
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IEEE/ACM Transactions on Networking Society Information IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-19
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IEEE/ACM Transactions on Networking Information for Authors IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-19
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IIsy: Hybrid In-Network Classification Using Programmable Switches IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-16 Changgang Zheng, Zhaoqi Xiong, Thanh T. Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
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Encrypted Data Caching and Learning Framework for Robust Federated Learning-Based Mobile Edge Computing IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-15 Chi-Hieu Nguyen, Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen, Van-Dinh Nguyen, Yong Xiao, Eryk Dutkiewicz
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Learning-Based Sketch for Adaptive and High-Performance Network Measurement IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-14 Fuliang Li, Yiming Lv, Yangsheng Yan, Chengxi Gao, Xingwei Wang, Jiannong Cao
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A Communication-Efficient Hierarchical Federated Learning Framework via Shaping Data Distribution at Edge IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-14 Yongheng Deng, Feng Lyu, Tengxi Xia, Yuezhi Zhou, Yaoxue Zhang, Ju Ren, Yuanyuan Yang
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Spectrum-Energy-Efficient Mode Selection and Resource Allocation for Heterogeneous V2X Networks: A Federated Multi-Agent Deep Reinforcement Learning Approach IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-14 Jinsong Gui, Liyan Lin, Xiaoheng Deng, Lin Cai
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Concurrent Charging With Wave Interference for Multiple Chargers IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-14 Tang Liu, Yuzhuo Ma, Meixuan Ren, Jin Yang, Jian Peng, Jilin Yang, Dié Wu
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FlowStar: Fast Convergence Per-Flow State Accurate Congestion Control for InfiniBand IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-14 Changyun Luo, Huaxi Gu, Lijing Zhu, Huixia Zhang
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Kirigami, the Verifiable Art of Network Cutting IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-12 Timothy Alberdingk Thijm, Ryan Beckett, Aarti Gupta, David Walker
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Traffic-Aware Configuration of All-Optical Data Center Networks Based on Hyper-FleX-LION IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-12 Hao Yang, Zuqing Zhu
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Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-09 Pihe Hu, Yu Chen, Ling Pan, Zhixuan Fang, Fu Xiao, Longbo Huang
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PACC: A Proactive CNP Generation Scheme for Datacenter Networks IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-08 Jiao Zhang, Yuqing Wang, Xiaolong Zhong, Mingxuan Yu, Haoyu Pan, Yali Zhang, Zixuan Guan, Biyao Che, Zirui Wan, Tian Pan, Tao Huang
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On the Benefits of Traffic “Reprofiling” the Single Hop Case IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-02-06 Jiayi Song, Jiaming Qiu, Roch Guérin, Henry Sariowan
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Outdoor-to-Indoor 28 GHz Wireless Measurements in Manhattan: Path Loss, Environmental Effects, and 90% Coverage IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-26 Manav Kohli, Abhishek Adhikari, Gulnur Avci, Sienna Brent, Aditya Dash, Jared Moser, Sabbir Hossain, Igor Kadota, Carson Garland, Shivan Mukherjee, Rodolfo Feick, Dmitry Chizhik, Jinfeng Du, Reinaldo A. Valenzuela, Gil Zussman
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One Shot for All: Quick and Accurate Data Aggregation for LPWANs IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-24 Ningning Hou, Xianjin Xia, Yifeng Wang, Yuanqing Zheng
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Graph Representation Learning for Contention and Interference Management in Wireless Networks IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-24 Zhouyou Gu, Branka Vucetic, Kishore Chikkam, Pasquale Aliberti, Wibowo Hardjawana
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DistMind: Efficient Resource Disaggregation for Deep Learning Workloads IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-24 Xin Jin, Zhihao Bai, Zhen Zhang, Yibo Zhu, Yinmin Zhong, Xuanzhe Liu
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Incentivizing Massive Unknown Workers for Budget-Limited Crowdsensing: From Off-Line and On-Line Perspectives IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-24 Feng Li, Yuqi Chai, Huan Yang, Pengfei Hu, Lingjie Duan
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Scheduling Coflows in Hybrid Optical-Circuit and Electrical-Packet Switches With Performance Guarantee IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-22 Xin Wang, Hong Shen, Hui Tian
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Relaying Vehicle Selection Protocol for a Road Intersection IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-22 Avishek Paul, Subhasish Dhal, Neenu Mary
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A Framework for the Evaluation of Network Reliability Under Periodic Demand IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-19 Ali Maatouk, Fadhel Ayed, Shi Biao, Wenjie Li, Harvey Bao, Enrico Zio
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GLAC: High-Precision Tracking of Mobile Objects With COTS RFID Systems IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-18 Wei Gong, Haoyu Wang, Siyi Li, Si Chen
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A Socially Optimal Data Marketplace With Differentially Private Federated Learning IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-17 Peng Sun, Guocheng Liao, Xu Chen, Jianwei Huang
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MTU-Adaptive In-Band Network-Wide Telemetry IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-15 Fuliang Li, Qianchen Yuan, Tian Pan, Xingwei Wang, Jiannong Cao
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Toward Optimal Live Video Streaming QoE: A Deep Feature-Fusion Approach IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-12 Huanhuan Zhang, Anfu Zhou, Guangping Wang, Chaoyue Li, Huadong Ma
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Programmable Filterless Optical Networks: Architecture, Design, and Resource Allocation IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-11 Ehsan Etezadi, Carlos Natalino, Christine Tremblay, Lena Wosinska, Marija Furdek
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Combining Regularization With Look-Ahead for Competitive Online Convex Optimization IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-11 Ming Shi, Xiaojun Lin, Lei Jiao
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PoPeC: PAoI-Centric Task Offloading With Priority Over Unreliable Channels IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-11 Nan Qiao, Sheng Yue, Yongmin Zhang, Ju Ren
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Distributed Network Telemetry With Resource Efficiency and Full Accuracy IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-09 Haifeng Sun, Qun Huang, Patrick P. C. Lee, Wei Bai, Feng Zhu, Yungang Bao
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Concurrent Entanglement Routing for Quantum Networks: Model and Designs IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-05 Shouqian Shi, Xiaoxue Zhang, Chen Qian
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A Novel Self-Supervised Framework Based on Masked Autoencoder for Traffic Classification IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-03 Ruijie Zhao, Mingwei Zhan, Xianwen Deng, Fangqi Li, Yanhao Wang, Yijun Wang, Guan Gui, Zhi Xue
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Maximizing Network Throughput in Heterogeneous UAV Networks IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2024-01-01 Shuyue Li, Jing Li, Chaocan Xiang, Wenzheng Xu, Jian Peng, Ziming Wang, Weifa Liang, Xinwei Yao, Xiaohua Jia, Sajal K. Das
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Prophet: Traffic Engineering-Centric Traffic Matrix Prediction IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2023-09-13 Yuntian Zhang, Ning Han, Tengteng Zhu, Junjie Zhang, Minghao Ye, Songshi Dou, Zehua Guo
Traffic Matrix (TM), which records traffic volumes among network nodes, is important for network operation and management. Due to cost and operation issues, TMs cannot be directly measured and collected in real time. Therefore, many studies work on predicting future TMs based on historical TMs. However, existing works are usually accuracy-centric prediction solutions that mainly focus on improving
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Toward Inference Delivery Networks: Distributing Machine Learning With Optimality Guarantees IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2023-08-31 Tareq Si Salem, Gabriele Castellano, Giovanni Neglia, Fabio Pianese, Andrea Araldo
An increasing number of applications rely on complex inference tasks that are based on machine learning (ML). Currently, there are two options to run such tasks: either they are served directly by the end device (e.g., smartphones, IoT equipment, smart vehicles), or offloaded to a remote cloud. Both options may be unsatisfactory for many applications: local models may have inadequate accuracy, while
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Detecting the Most Vital Articulation Points in Wireless Multi-Hop Networks IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2023-08-30 Vahid Khalilpour Akram, Onur Ugurlu
An articulation point is a node whose removal partitions the network into disconnected segments. The articulation points may affect the reliability and efficiency of wireless multi-hop networks from different aspects. Although all articulation points destroy the connectivity of the network, their negative impact on the network is not equal. Removing some articulation points may disconnect a large subset
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Preserving Privacy and Security in Federated Learning IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2023-08-25 Truc Nguyen, My T. Thai
Federated learning is known to be vulnerable to both security and privacy issues. Existing research has focused either on preventing poisoning attacks from users or on concealing the local model updates from the server, but not both. However, integrating these two lines of research remains a crucial challenge since they often conflict with one another with respect to the threat model. In this work
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Accelerating Federated Learning With Data and Model Parallelism in Edge Computing IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2023-08-24 Yunming Liao, Yang Xu, Hongli Xu, Zhiwei Yao, Lun Wang, Chunming Qiao
Recently, edge AI has been launched to mine and discover valuable knowledge at network edge. Federated Learning, as an emerging technique for edge AI, has been widely deployed to collaboratively train models on many end devices in data-parallel fashion. To alleviate the computation/communication burden on the resource-constrained workers (e.g., end devices) and protect user privacy, Spilt Federated
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A New Measure of Fault-Tolerance for Network Reliability: Double-Structure Connectivity IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2023-08-23 Guijuan Wang, Jiguo Yu, Yifei Zou, Jianxi Fan, Wei Cheng
Most data center services are finished by the cooperation among the connected servers. However, the malicious attackers always try to divide the network into disconnected components to start some attacks, such as the address resolution protocol (ARP) attack, the denial of service (DoS) attack, the botnet attack, and so on. The connectivity is an excellent indicator to measure the reliability and fault-tolerant
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Reward Maximization for Disaster Zone Monitoring With Heterogeneous UAVs IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2023-08-23 Wenzheng Xu, Chengxi Wang, Hongbin Xie, Weifa Liang, Haipeng Dai, Zichuan Xu, Ziming Wang, Bing Guo, Sajal K. Das
In this paper, we study the deployment of $K$ heterogeneous UAVs to monitor Points of Interest (PoIs) in a disaster zone, where a PoI may represent a school building or an office building, in which people are trapped. A UAV can take images/videos of PoIs and send its collected information back to a nearby rescue station for decision-making. Unlike most existing studies that focused on only homogeneous
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Revisiting Nakamoto Consensus in Asynchronous Networks: A Comprehensive Analysis of Bitcoin Safety and Chain Quality IEEE ACM Trans. Netw. (IF 3.7) Pub Date : 2023-08-21 Muhammad Saad, Afsah Anwar, Srivatsan Ravi, David Mohaisen
The Bitcoin blockchain safety relies on strong network synchrony. Therefore, violating the blockchain safety requires strong adversaries that control a mining pool with ≈51% hash rate. In this paper, we show that the network synchrony does not hold in the real world Bitcoin network which can be exploited to feasibly violate the blockchain safety and chain quality. Towards that, first we construct the