A hybrid algorithm to combine redundancy and concurrency in virtual network resource pooling

被引:1
|
作者
Klapez, Martin [1 ]
Grazia, Carlo Augusto [1 ]
Casoni, Maurizio [1 ]
机构
[1] Univ Modena & Reggio Emilia, Dept Engn Enzo Ferrari, Via P Vivarelli,10,Dief,C-O Ed 26 Elecom Lab, I-41125 Modena, Italy
来源
INTERNET TECHNOLOGY LETTERS | 2018年 / 1卷 / 02期
关键词
collaborative networks; concurrency; emergency networks; multipath transmissions; resource pooling; SDN;
D O I
10.1002/itl2.18
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Emergency scenarios pose significant hurdles to wireless communications, especially when these are performed through terrestrial cellular networks. This is because network infrastructures can be damaged, or the sudden surge of network demand can cause unbearable network congestion. Unfortunately, public safety operators employ terrestrial cellular networks to perform data communications and are therefore at risk of being unable to effectively operate in critical situations. Virtual network resource pooling is a software-defined networking (SDN)-based network framework that allows collaborative hosts to pool together their network channels to provide connectivity despite the sudden unavailability of network paths or to compensate for high degrees of packet losses. once hosts, resources are pooled, a dispatching algorithm on the SDN controller is required to enforce a proper policy of packets distribution. This paper presents a dispatching algorithm that is designed to provide fast and reliable transmissions despite lossy and unreliable channels. It works by introducing the minimum amount of packet redundancy that is needed to obtain a packet delivery probability given as a parameter and by using the remaining network resources to augment transfer goodput. Emulation results confirm that with respect to policies that selectively aim to improve goodput or to introduce packet redundancy, this hybrid algorithm can compensate for high packet loss ratios and improve goodput at the same time.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Multi-scale Hybrid Pooling Convolutional Neural Network Algorithm
    Zhao, Nan
    Wang, Xin
    Li, Ying-na
    Wu, Sheng
    2018 INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL, AUTOMATION AND ROBOTICS (ECAR 2018), 2018, 307 : 339 - 342
  • [2] Virtual Computing Grid using Resource Pooling
    Rajan, Alpana
    Rawat, Anil
    Verma, Rajesh Kumar
    ICIT 2008: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, 2008, : 59 - 64
  • [3] A dynamic and resource sharing virtual network mapping algorithm
    Xiao, Xiancui
    Zheng, Xiangwei
    Bian, Ji
    Ji, Cun
    Cui, Xinchun
    DIGITAL COMMUNICATIONS AND NETWORKS, 2023, 9 (05) : 1101 - 1112
  • [4] A dynamic and resource sharing virtual network mapping algorithm
    Xiancui Xiao
    Xiangwei Zheng
    Ji Bian
    Cun Ji
    Xinchun Cui
    Digital Communications and Networks, 2023, 9 (05) : 1101 - 1112
  • [5] Hybrid Optimization Algorithm to Combine Neural Network for Rainfall-Runoff Modeling
    Wu, Jiansheng
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS, 2016, 15 (03)
  • [6] Efficient Provisioning of Hybrid Virtual Network with Stochastic Resource Demands
    Liao, Dan
    Sun, Gang
    Anand, Vishal
    Xiao, Kexiang
    IETE TECHNICAL REVIEW, 2014, 31 (05) : 342 - 352
  • [7] Virtual Network Embedding Algorithm Based on Resource Locality Index
    Wu, Bing
    Mao, Yuxing
    PROCEEDINGS OF THE 2016 2ND WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS, 2016, 81 : 1174 - 1181
  • [8] Redundancy performance of virtual network solutions
    Koch, Fabian
    Hansen, Kai T.
    2006 IEEE CONFERENCE ON EMERGING TECHNOLOGIES & FACTORY AUTOMATION, VOLS 1 -3, 2006, : 379 - +
  • [9] Resource pooling for frameless network architecture with adaptive resource allocation
    XiaoDong Xu
    Da Wang
    XiaoFeng Tao
    Tommy Svensson
    Science China Information Sciences, 2013, 56 : 1 - 12
  • [10] Resource pooling for frameless network architecture with adaptive resource allocation
    Xu XiaoDong
    Wang Da
    Tao XiaoFeng
    Svensson, Tommy
    SCIENCE CHINA-INFORMATION SCIENCES, 2013, 56 (02) : 83 - 94