Structural Vulnerability Analysis for Large-Scale Distributed System based on Multi-layer Topology Model

被引:0
|
作者
Kuang, Xiaohui [1 ]
Zhao, Gang [1 ]
Tang, Yong
Li, Jin [1 ]
机构
[1] Beijing Inst Syst Engn, Sci & Technol Lab Informat Syst Secur, Beijing 100101, Peoples R China
来源
PRZEGLAD ELEKTROTECHNICZNY | 2012年 / 88卷 / 3B期
关键词
large-scale distributed system (LSDS); structural vulnerability; topology module; fault tolerance; vulnerability analysis; NETWORKS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Vulnerability analysis of LSDS (Large-Scale distributed systems) has become a growing focus nowadays. A new multi-layer topology model is proposed to describe complex relations between LSDS entities, redundancy mechanism and failure tolerant mechanism in LSDS. Based on this model, a structural vulnerability analysis algorithm based on weight is proposed, which can discover and validate structural vulnerabilities by computing weight of every entity and link with by graph pruning. After that, a new multi-topology model structural vulnerability analysis algorithm is proposed, which can detect the critical entities on different layers of LSDS according to the interdependencies between them. In the end, the efficiency of the algorithms is verified by experiment.
引用
收藏
页码:78 / 83
页数:6
相关论文
共 50 条
  • [31] Multi-layer Embedding Neural Architecture with External Memory for Large-Scale Text Categorization
    Rafi, Robiul Hossain Md
    Tang, Bo
    Sharma, Suvash
    2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 2288 - 2294
  • [32] Learning multi-layer coarse-to-fine representations for large-scale image classification
    Zhang, Ji
    Mei, Kuizhi
    Zheng, Yu
    Fan, Jianping
    PATTERN RECOGNITION, 2019, 91 : 175 - 189
  • [33] Continuously large-scale preparation of multi-layer graphene grown on polycrystalline SiC microspheres
    Ma, Jun
    Li, Gong-yi
    Chu, Zeng-yong
    Hu, Tian-jiao
    Li, Yi-he
    Li, Xiao-dong
    Advance Materials Development and Applied Mechanics, 2014, 597 : 99 - 102
  • [34] A large-scale distributed control system on multi-vendor platform
    Kawata, K
    Yamashita, T
    Takahata, Y
    Ueda, M
    IEEE/PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXHIBITION 2002: ASIA PACIFIC, VOLS 1-3, CONFERENCE PROCEEDINGS: NEW WAVE OF T&D TECHNOLOGY FROM ASIA PACIFIC, 2002, : 37 - 42
  • [35] Networked Coordination-Based Distributed Model Predictive Control for Large-Scale System
    Zheng, Yi
    Li, Shaoyuan
    Qiu, Hai
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2013, 21 (03) : 991 - 998
  • [36] Large-Scale Optical Phased Array Based on a Multi-Layer Silicon-Nitride-on- Silicon Photonic Platform
    Lu, Liangjun
    Xu, Weihan
    Guo, Yuyao
    Liu, Chuxin
    Chen, Jianping
    Zhou, Linjie
    2024 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION, OFC, 2024,
  • [37] On-the-fly model reduction for large-scale structural topology optimization using principal components analysis
    Xiao, Manyu
    Lu, Dongcheng
    Breitkopf, Piotr
    Raghavan, Balaji
    Dutta, Subhrajit
    Zhang, Weihong
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2020, 62 (01) : 209 - 230
  • [38] Distributed Semidefinite Programming With Application to Large-Scale System Analysis
    Pakazad, Sina Khoshfetrat
    Hansson, Anders
    Andersen, Martin S.
    Rantzer, Anders
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2018, 63 (04) : 1045 - 1058
  • [39] On-the-fly model reduction for large-scale structural topology optimization using principal components analysis
    Manyu Xiao
    Dongcheng Lu
    Piotr Breitkopf
    Balaji Raghavan
    Subhrajit Dutta
    Weihong Zhang
    Structural and Multidisciplinary Optimization, 2020, 62 : 209 - 230
  • [40] Distributed structural analysis of large-scale structures on a cluster of personal computers
    Park, HS
    Sung, CW
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2002, 17 (06) : 409 - 422