Single-class bounds of multi-class queuing networks

被引:0
|
作者
Dowdy, Lawrence W. [1 ]
Carlson, Brian M. [1 ]
Krantz, Alan T. [1 ]
Tripathi, Satish K. [1 ]
机构
[1] Vanderbilt Univ, Nashville, United States
来源
Journal of the ACM | 1992年 / 39卷 / 01期
关键词
Computer systems;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:188 / 213
相关论文
共 50 条
  • [1] SINGLE-CLASS BOUNDS OF MULTICLASS QUEUING-NETWORKS
    DOWDY, LW
    CARLSON, BM
    KRANTZ, AT
    TRIPATHI, SK
    JOURNAL OF THE ACM, 1992, 39 (01) : 188 - 213
  • [2] Learning Multi-Class Segmentations From Single-Class Datasets
    Dmitriev, Konstantin
    Kaufman, Arie E.
    2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 9493 - 9503
  • [3] Multi-Class 3D Object Detection with Single-Class Supervision
    Ye, Mao
    Liu, Chenxi
    Yao, Maoqing
    Wang, Weiyue
    Leng, Zhaoqi
    Qi, Charles R.
    Anguelov, Dragomir
    2022 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2022), 2022, : 5123 - 5130
  • [6] Analysis of manufacturing systems via single-class, semi-open queuing networks
    Heragu, Sunderesh S.
    Srinivasan, Mukund
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2011, 49 (02) : 295 - 319
  • [7] AGGREGATION APPROXIMATIONS FOR SENSITIVITY ANALYSIS OF MULTI-CLASS QUEUING-NETWORKS
    GLASSERMAN, P
    HO, YC
    PERFORMANCE EVALUATION, 1989, 10 (04) : 295 - 308
  • [8] Solving general multi-class closed queuing networks using parametric decomposition
    Satyam, Kumar
    Krishnamurthy, Ananth
    Kamath, Manjunath
    COMPUTERS & OPERATIONS RESEARCH, 2013, 40 (07) : 1777 - 1789
  • [9] Comparison of multi-class and fusion of multiple single-class SegNet model for mapping karst wetland vegetation using UAV images
    Deng, Tengfang
    Fu, Bolin
    Liu, Man
    He, Hongchang
    Fan, Donglin
    Li, Lilong
    Huang, Liangke
    Gao, Ertao
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [10] Multi-Class H-Consistency Bounds
    Awasthi, Pranjal
    Mao, Anqi
    Mohri, Mehryar
    Zhong, Yutao
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35, NEURIPS 2022, 2022,