Pricing multi-class network services using the Shapley Value

被引：0
|
作者：
Zhang, Fan [1 ]
Verma, Pramode K. [1 ]
机构：
[1] Univ Oklahoma, Sch Elect & Comp Engn, Tulsa, OK 74135 USA
来源：
NETNOMICS | 2011年 / 12卷 / 01期
关键词：
Pricing scheme; Class-based networks; Shapely Value;
D O I：
10.1007/s11066-011-9058-5
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This paper investigates pricing issues in class-based networks. Classes of packets having lower impatience and longer average delay receive monetary compensations. The inter-class price differential is determined by the inter-class compensations. The paper also presents rules for allocating network resource to each class. The corresponding payoff (disutility share) for each class is driven by the Shapley Value of the associated cooperative game.
引用
收藏
页码：61 / 75
页数：15
相关论文
共 50 条
  • [41] Bandwidth sharing network design for multi-class traffic
    Hajiaghayi, MohammadTaghi
    Li, Li
    Mirrokni, Vahab S.
    Thottan, Marina
    25TH IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS, VOLS 1-7, PROCEEDINGS IEEE INFOCOM 2006, 2006, : 2119 - 2130
  • [42] A Multi-Class Pedestrian Detection Network for Distorted Pedestrians
    Zhang, Jiao
    Xiao, Jiangjian
    Zhou, Chuanhong
    Peng, Chengbin
    PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018), 2018, : 1079 - 1083
  • [43] The optimal connection preemption algorithm in a multi-class network
    Jeon, SE
    Abler, RT
    Goulart, AE
    2002 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2002, : 2294 - 2298
  • [44] Edge overlay multicast to support comparable multi-class services
    Li, Suogang
    Xu, Ke
    Liu, Ying
    Wu, Hanping
    JOURNAL OF HIGH SPEED NETWORKS, 2008, 17 (01) : 13 - 36
  • [45] A Multi-Class Cost Sensitivity AdaBoost Algorithm Using Multi-Class Cost Exponential Loss Function
    Zhai X.
    Wang X.
    Li R.
    Jia Q.
    Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2017, 51 (08): : 33 - 39
  • [46] Multi-Class Imbalanced Graph Convolutional Network Learning
    Shi, Min
    Tang, Yufei
    Zhu, Xingquan
    Wilson, David
    Liu, Jianxun
    PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2020, : 2879 - 2885
  • [47] OPTIMAL SCHEDULING CONTROL IN A MULTI-CLASS FLUID NETWORK
    CHEN, H
    YAO, DD
    PROCEEDINGS OF THE 28TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-3, 1989, : 1105 - 1106
  • [48] Optimizing Neural Network Topology Using Shapley Value
    Leon, Florin
    2014 18TH INTERNATIONAL CONFERENCE SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2014, : 862 - 867
  • [49] Steganographic domain classification using multi-class
    Xu Bo
    Wang Jiazhen
    Liu Xiaqin
    Yang Sumin
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 1270 - 1273
  • [50] Detecting steganography using multi-class classification
    Rodriguez, Benjamin
    Peterson, Gilbert
    ADVANCES IN DIGITAL FORENSIC III, 2007, 242 : 193 - +
12345