Hot-Spot Traffic Pattern on Hierarchical 3D Mesh Network

被引:0
|
作者
Rahman, M. M. Hafizur [1 ]
Akhand, M. A. H. [4 ]
Miura, Yasuyuki [3 ]
Inoguchi, Yasushi [2 ]
机构
[1] IIUM, KICT, Dept Comp Sci, Kuala Lumpur 50728, Malaysia
[2] KUET, Dept Comp Sci & Engn, Khulna 9203, Bangladesh
[3] Shonan Inst Technol, Fujisawa, Kanagawa 2518511, Japan
[4] JAIST, Res Ctr Adv Comp Infrastruct, Nomi, Ishikawa 9231292, Japan
关键词
Interconnection network; H3DM network; Deadlock-free routing algorithm; Hot-spot traffic patterns; Dynamic communication performance;
D O I
10.1109/ACSAT.2014.17
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
A Hierarchical 3D-Mesh (H3DM) Network is a 2D-mesh network of multiple basic modules (BMs), in which the basic modules are 3D-torus networks that are hierarchically interconnected for higher-level networks. In this paper, we evaluate the dynamic communication performance of a H3DM network under hot-spot traffic pattern using a deadlock-free dimension order routing algorithm with minimum number of virtual channels. We have also evaluated the dynamic communication performance of the mesh and torus networks. It is shown that under most imbalance hot-spot traffic pattern H3DM network yields high throughput and low average transfer time than that of mesh and torus networks, providing better dynamic communication performance compared to those networks.
引用
收藏
页码:56 / 60
页数:5
相关论文
共 50 条
  • [41] A hierarchical framework for large 3D mesh streaming on mobile systems
    Jiro Park
    Haeyoung Lee
    Multimedia Tools and Applications, 2016, 75 : 1983 - 2004
  • [42] Plate network division - its effect on mantle convection and the two hot-spot domains
    Ricou, LE
    TERRA NOVA, 1998, 10 (04) : 201 - 205
  • [43] On Uniform Traffic Pattern of Symmetric Midimew Connected Mesh Network
    Hag, Ala Ahmed Yahya
    Rahman, M. M. Hafizur
    Nor, Rizal Mohd
    Sembok, Tengku Mohd Tengku
    BIG DATA, CLOUD AND COMPUTING CHALLENGES, 2015, 50 : 476 - 481
  • [44] HandAttNet: Attention 3D Hand Mesh Estimation Network
    Sun, Jintao
    Ding, Gangyi
    2023 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS, VRW, 2023, : 645 - 646
  • [45] MeshNet: Mesh Neural Network for 3D Shape Representation
    Feng, Yutong
    Feng, Yifan
    You, Haoxuan
    Zhao, Xibin
    Gao, Yue
    THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, : 8279 - 8286
  • [46] Modelling and evaluation of the 3G mobile networks with hot-spot WLANs
    Department of Electrical Engineering and Computer Science, University of Toledo, Toledo, OH 43606, United States
    Int. J. Wireless Mobile Comput., 2007, 4 (303-313):
  • [47] 3D Mesh Deformation Using Graph Convolution Network
    Wang, Zijie
    Chang, Huiyou
    2019 IEEE 4TH INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS (ICCCS 2019), 2019, : 375 - 378
  • [48] A Convolutional Vector Network for 3D Mesh Object Recognition
    Qiu Q.
    Zhao J.
    Chen Y.
    Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence, 2022, 35 (03): : 271 - 282
  • [49] TPN: TOPOLOGICAL PERCEPTION NETWORK FOR 3D MESH REPRESENTATION
    Ma, Bingtao
    Cong, Yang
    Liu, Hongsen
    Tang, Xu
    2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2020, : 2711 - 2715
  • [50] An on-line hot-spot detection scheme in DS-CDMA networks - Single traffic type
    Tang, YK
    Misic, J
    Zhu, H
    Chlamtac, I
    GLOBECOM '04: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-6, 2004, : 3911 - 3915