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  1. 1

    Contention-Free Configured Grant Scheduling for 5G URLLC Traffic by Zhang, Tianyu, Hu, Xiaobo Sharon, Han, Song

    Published: IEEE 09.07.2023
    “…5G networks are being designed to support ultra reliable and low latency communication (URLLC…”
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    Conference Proceeding
  2. 2

    Tropical: Enhancing SLO Attainment in Disaggregated LLM Serving via SLO-Aware Multiplexing by Ma, Jinming, Chen, Jiefei, Li, Xiuhong, Duan, Jiangfei, Duanmu, Haojie, Zhang, Xingcheng, Yang, Chao, Lin, Dahua

    Published: IEEE 22.06.2025
    “…To guarantee service quality in transformer based large language model (LLM) serving, it is essential to meet the latency constraints of both the prefill phase…”
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    Conference Proceeding
  3. 3

    NFVdeep: adaptive online service function chain deployment with deep reinforcement learning by Xiao, Yikai, Zhang, Qixia, Liu, Fangming, Wang, Jia, Zhao, Miao, Zhang, Zhongxing, Zhang, Jiaxing

    ISBN: 9781450367783, 145036778X
    Published: New York, NY, USA ACM 24.06.2019
    “…With the evolution of network function virtualization (NFV), diverse network services can be flexibly offered as service function chains (SFCs…”
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    Conference Proceeding
  4. 4

    Work or Sleep: Freshness-Aware Energy Scheduling for Wireless Powered Communication Networks with Interference Consideration by Lin, Ling, Ju, Lei, Xue, Chun Jason, Zhou, Mingliang, Zhang, Wei, Zhou, Zimeng

    Published: IEEE 09.07.2023
    “…This paper explores how to schedule energy to optimize the information freshness in wireless powered communication networks (WPCNs…”
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    Conference Proceeding
  5. 5

    Late Breaking Results: Parallelizing Net Routing with cGANs by Utyamishev, Dmitry, Partin-Vaisband, Inna

    Published: IEEE 05.12.2021
    “… The key idea is based on training a conditional generative adversarial network (cGAN) to interpret a routing task as a graphical bitmap and consequently map it to an optimal routing solution represented by another bitmap…”
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  6. 6

    LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies by Odema, Mohanad, Rashid, Nafiul, Demirel, Berken Utku, Faruque, Mohammad Abdullah Al

    Published: IEEE 05.12.2021
    “…Edge-Cloud hierarchical systems employing intelligence through Deep Neural Networks (DNNs…”
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    Conference Proceeding
  7. 7

    Framework for Integrating Machine Learning Methods for Path-Aware Source Routing by Al-Najjar, Anees, Paraiso, Domingos, Kiran, Mariam, Dominicini, Cristina, Borges, Everson, Guimaraes, Rafael, Martinello, Magnos, Newman, Harvey

    Published: IEEE 17.11.2024
    “…). Being one of the most complex challenges in networking, TE problems involve difficult decisions such as allocating flows, either via splitting them among multiple paths or by using a reservation…”
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  8. 8

    Fast Computation Flow Restoration with Path-Based Two-Stage Traffic Engineering by Li, Xiaotian, Liu, Yong

    ISSN: 2837-4827
    Published: ACM 06.12.2023
    “… In this paper, we propose a novel path-based two-stage traffic engineering scheme to trade-off between routing model complexity, network performance in the normal stage, and restoration efficiency upon failures…”
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    Conference Proceeding
  9. 9

    Fault Tolerance in Time-Sensitive Networking with Mixed-Critical Traffic by Ma, Wenhong, Xiao, Xiangzhen, Xie, Guoqi, Guan, Nan, Jiang, Yu, Chang, Wanli

    Published: IEEE 09.07.2023
    “…) has become a well-recognized promising in-vehicle network solution for increasingly automated automobiles…”
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  10. 10

    Placement Tomography-Based Routing Blockage Generation for DRV Hotspot Mitigation by Kahng, Andrew B., Kundu, Sayak, Yoon, Dooseok

    ISSN: 1558-2434
    Published: ACM 27.10.2024
    “…A fundamental goal in modern physical design is for the post-route layout to have a fixable number of remaining design rule violations (DRVs). We study how to…”
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    Conference Proceeding
  11. 11

    Proactive inter-datacenter multicast with realtime and bulk transfers by Dolati, Mahdi, Ghaderi, Majid, Khonsari, Ahmad

    ISBN: 9781450367783, 145036778X
    Published: New York, NY, USA ACM 24.06.2019
    “…In content distribution networks, a key objective is the efficient utilization of the network that interconnects geographically distributed datacenters…”
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  12. 12

    MUGNoC: A Software-Configured Multicast-Unicast-Gather NoC for Accelerating CNN Dataflows by Chen, Hui, Liu, Di, Li, Shiqing, Huai, Shuo, Luo, Xiangzhong, Liu, Weichen

    ISBN: 9781450397834, 1450397832
    ISSN: 2153-697X
    Published: New York, NY, USA ACM 16.01.2023
    “…Current communication infrastructures for convolutional neural networks (CNNs) only focus on specific transmission patterns, not applicable to benefit the whole system if the dataflow changes or different dataflows run in one system…”
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  13. 13

    A Study of a Deterministic Networking Framework for Latency Critical Large Scientific Data Transfers by Lakshminarayana, Vijeth Kumbarahally, Oguchi, Carolina Minami, Sim, Alex, Wu, Kesheng, Ghosal, Dipak

    Published: IEEE 17.11.2024
    “… To support these time-sensitive flows, the Energy Science Network (ESnet) has implemented on-demand circuits with packet priority, allowing the circuit to be utilized by other traffic when the deadline-sensitive flow is inactive…”
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  14. 14

    Data driven control based on Deep Q-Network algorithm for heading control and path following of a ship in calm water and waves by Sivaraj, Sivaraman, Rajendran, Suresh, Prasad, Lokukaluge Perera

    ISSN: 0029-8018, 1873-5258
    Published: Elsevier Ltd 01.09.2022
    Published in Ocean engineering (01.09.2022)
    “…A reinforcement learning algorithm based on Deep Q-Networks (DQN) is used for the path following and heading control of a ship in calm water and waves…”
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    Journal Article
  15. 15

    Bandwidth Steering in HPC Using Silicon Nanophotonics by Michelogiannakis, George, Shen, Yiwen, Teh, Min Yee, Meng, Xiang, Aivazi, Benjamin, Groves, Taylor, Shalf, John, Glick, Madeleine, Ghobadi, Manya, Dennison, Larry, Bergman, Keren

    ISSN: 2167-4337
    Published: ACM 17.11.2019
    “… In our simulations with a few thousand network endpoints, bandwidth steering reduces static power consumption per unit throughput by 36…”
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  16. 16

    Path Tracking Control of Field Information-Collecting Robot Based on Improved Convolutional Neural Network Algorithm by Gu, Yili, Li, Zhiqiang, Zhang, Zhen, Li, Jun, Chen, Liqing

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 31.01.2020
    Published in Sensors (Basel, Switzerland) (31.01.2020)
    “… Second, an improved convolutional neural network model is proposed for training and learning, and the driving path is fitted by detecting and identifying corn rhizomes…”
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    Journal Article
  17. 17

    Fast algorithms for optimal coalition formation in federated clouds by Khandelwal, Yash, Purini, Suresh, Reddy, Puduru V.

    ISBN: 1450346162, 9781450346160
    Published: New York, NY, USA ACM 06.12.2016
    “…]. Then we propose a fast polynomial time greedy algorithm to find a near optimal coalition. The profit generated by the federation obtained using the greedy algorithm is within a negligible…”
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  18. 18

    Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck by Ke, Yuzhen, Utkovski, Zoran, Heshmati, Mehdi, Simeone, Osvaldo, Dommel, Johannes, Stanczak, Slawomir

    Published: IEEE 30.07.2024
    “…An important use case of next-generation wireless systems is device-edge co-inference, where a semantic task is partitioned between a device and an edge…”
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  19. 19

    Examining the Viability of Row-Scale Disaggregation for Production Applications by Shorts, Curtis, Grant, Ryan E.

    Published: IEEE 17.11.2024
    “… from. This is a distinctly different architecture from rack-scaled CDI as the GPUs are accessed over a network rather than existing in the same PCIe domain as the CPUs…”
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  20. 20

    BASEL (buffer management specification language) by Kogan, Kirill, Menikkumbura, Danushka, Petri, Gustavo, Youngtae Noh, Nikolenko, Sergey, Eugster, Patrick

    Published: ACM 01.03.2016
    “…Buffering architectures and policies for their efficient management constitute one of the core ingredients of a network architecture…”
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