Search Results - "Networks Network algorithms"

Refine Results
  1. 1

    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
    “…As an Ethernet-based communication protocol with timing determinism, TSN (time-sensitive networking) has become a well-recognized promising in-vehicle network…”
    Get full text
    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…”
    Get full text
    Conference Proceeding
  3. 3

    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) services in many real-time industrial applications. The…”
    Get full text
    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) when considering channel…”
    Get full text
    Conference Proceeding
  5. 5

    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) endure the dilemma of workload distribution within them. Previous…”
    Get full text
    Conference Proceeding
  6. 6

    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) consisted of…”
    Get full text
    Conference Proceeding
  7. 7

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

    Published: IEEE 05.12.2021
    “…Obstacle-avoiding multiterminal net routing approach is proposed. The approach is inspired by deep learning image processing. The key idea is based on training…”
    Get full text
    Conference Proceeding
  8. 8

    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
    “…Since the advent of software-defined networking (SDN), Traffic Engineering (TE) has been highlighted as one of the key applications that can be achieved…”
    Get full text
    Conference Proceeding
  9. 9

    Local Higher-Order Graph Clustering by Yin, Hao, Benson, Austin R, Leskovec, Jure, Gleich, David F

    ISSN: 2154-817X
    Published: United States 01.08.2017
    “…Local graph clustering methods aim to find a cluster of nodes by exploring a small region of the graph. These methods are attractive because they enable…”
    Get more information
    Journal Article
  10. 10

    vSPACE: Supporting Parallel Network Packet Processing in Virtualized Environments through Dynamic Core Management by Park, Gyeongseo, Kim, Minho, Kang, Ki-Dong, Jeon, Yunhyeong, Kim, Sungju, Kim, Hyosang, Kim, Daehoon

    Published: ACM 13.10.2024
    “…Data centers face significant performance challenges with parallel processing for network I/O in virtualized environments, particularly for latency-critical…”
    Get full text
    Conference Proceeding
  11. 11

    ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems by Huai, Shuo, Zhang, Lei, Liu, Di, Liu, Weichen, Subramaniam, Ravi

    Published: IEEE 05.12.2021
    “…Edge devices have been widely adopted to bring deep learning applications onto low power embedded systems, mitigating the privacy and latency issues of…”
    Get full text
    Conference Proceeding
  12. 12

    ParGNN: A Scalable Graph Neural Network Training Framework on multi-GPUs by Gu, Junyu, Li, Shunde, Cao, Rongqiang, Wang, Jue, Wang, Zijian, Liang, Zhiqiang, Liu, Fang, Li, Shigang, Zhou, Chunbao, Wang, Yangang, Chi, Xuebin

    Published: IEEE 22.06.2025
    “…Full-batch Graph Neural Network (GNN) training is indispensable for interdisciplinary applications. Although fullbatch training has advantages in convergence…”
    Get full text
    Conference Proceeding
  13. 13

    DaRTree: deadline-aware multicast transfers in reconfigurable wide-area networks by Luo, Long, Foerster, Klaus-Tycho, Schmid, Stefan, Yu, Hongfang

    ISBN: 9781450367783, 145036778X
    Published: New York, NY, USA ACM 24.06.2019
    “…The increasing amount of data replication across datacenters introduces a need for efficient bulk data transfer protocols which meet QoS guarantees, notably…”
    Get full text
    Conference Proceeding
  14. 14

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

    ISSN: 2837-4827
    Published: ACM 06.12.2023
    “…The emerging edge networks are cloud-native. Flows with computation needs are processed in-flight by compute nodes inside the network. Routing with In-Network…”
    Get full text
    Conference Proceeding
  15. 15

    When to Pre-Train Graph Neural Networks? From Data Generation Perspective by Cao, Yuxuan, Xu, Jiarong, Yang, Carl, Wang, Jiaan, Zhang, Yunchao, Wang, Chunping, Chen, Lei, Yang, Yang

    ISSN: 2154-817X
    Published: United States 01.08.2023
    “…In recent years, graph pre-training has gained significant attention, focusing on acquiring transferable knowledge from unlabeled graph data to improve…”
    Get more information
    Journal Article
  16. 16

    Distilling Arbitration Logic from Traces using Machine Learning: A Case Study on NoC by Zhou, Yuan, Wang, Hanyu, Yin, Jieming, Zhang, Zhiru

    Published: IEEE 05.12.2021
    “…Arbitration logic is extensively used in modern computer architectures to dynamically determine how shared hardware resources are allocated or accessed. Recent…”
    Get full text
    Conference Proceeding
  17. 17

    Variety matters: a new model for the wireless data market under sponsored data plans by Zhao, Yi, Su, Hui, Zhang, Liang, Wang, Dan, Xu, Ke

    ISBN: 9781450367783, 145036778X
    Published: New York, NY, USA ACM 24.06.2019
    “…In this paper, we develop a new model to study the competition among Content Providers (CPs) under Sponsored Data Plans (SDPs). SDP is an emerging pricing…”
    Get full text
    Conference Proceeding
  18. 18

    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
    “…Scientific workflows often involve large data transfers, which increasingly require completion-time guarantees. To support these time-sensitive flows, the…”
    Get full text
    Conference Proceeding
  19. 19

    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…”
    Get full text
    Conference Proceeding
  20. 20

    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. This…”
    Get full text
    Conference Proceeding