Visualizing parallel simulations that execute in network computing environments

被引:1
|
作者
Carothers, CD
Topol, B
Fujimoto, RM
Stasko, JT
Sunderam, V
机构
[1] Rensselaer Polytech Inst, Dept Comp Sci, Troy, NY 12180 USA
[2] IBM Corp, Network Comp Software Div, Res Triangle Pk, NC 27709 USA
[3] Georgia Inst Technol, Coll Comp, Atlanta, GA 30332 USA
[4] Emory Univ, Dept Math & Comp Sci, Atlanta, GA 30322 USA
关键词
parallel discrete-event simulation; visualization; network computing; time warp;
D O I
10.1016/S0167-739X(98)00057-0
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Parallel discrete-event simulation systems (PDES) are used to simulate large-scale applications such as modeling telecommunication networks, transportation grids, and battlefield scenarios. While a large amount of PDES research has focused on employing multiprocessors and multicomputers, the use of networks of workstations interconnected through Ethernet or ATM has evolved into a popular effective platform for PDES. Nonetheless, the development of efficient PDES systems in network computing environments is not without obstacles that severely degrade simulator performance. To better understand how these factors degrade performance as well as develop new algorithms to mitigate them, we investigate the use of graphical visualization to provide insight into performance evaluation and simulator execution. We began with a general-purpose network computing visualization system, PVaniM, and used it to investigate the execution of an advanced version of Time Warp, called Georgia Tech Time Warp (GTW), which executes in network computing environments. Because PDES systems such as GTW are essentially middleware that support their own applications, we soon realized these systems require their own middleware-specific visualization support. To this end we have extended PVaniM into a new system, called PVaniM-GTW by adding middleware-specific views. Our experiences with PVaniM-GTW indicates that these enhancements enable one to better satisfy the needs of PDES middleware than general-purpose visualization systems while also not requiring the development of application-specific visualizations by the end-user. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:513 / 529
页数:17
相关论文
共 50 条
  • [31] TrustVis: visualizing trust toward attack identification in distributed computing environments
    Peng, Dichao
    Chen, Wei
    Peng, Qunsheng
    SECURITY AND COMMUNICATION NETWORKS, 2013, 6 (12) : 1445 - 1459
  • [32] A coordination model for network computing environments
    Xia, Shundong
    You, Jinyuan
    International Journal of Computers and Applications, 2002, 24 (03) : 153 - 159
  • [33] A NOTE ON COMPUTING ENVIRONMENTS AND NETWORK RELIABILITY
    PAGE, LB
    PERRY, JE
    MICROELECTRONICS AND RELIABILITY, 1991, 31 (01): : 185 - 186
  • [34] Special Issue on Network and Parallel Computing
    Vijayalakshmi Srinivasan
    Yunquan Zhang
    International Journal of Parallel Programming, 2017, 45 : 1 - 3
  • [35] Parallel computing under network of workstations
    Mo, Zeyao
    Li, Xiaomei
    Jisuanji Xuebao/Chinese Journal of Computers, 1997, 20 (06): : 510 - 517
  • [36] Special Issue on Network and Parallel Computing
    Srinivasan, Vijayalakshmi
    Zhang, Yunquan
    INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING, 2017, 45 (01) : 1 - 3
  • [37] PARALLEL IMPLEMENTATIONS OF NEURAL NETWORK SIMULATIONS
    PETROWSKI, A
    PERSONNAZ, L
    DREYFUS, G
    GIRAULT, C
    HYPERCUBE AND DISTRIBUTED COMPUTERS, 1989, : 205 - 218
  • [38] Towards an adaptable middleware for parallel computing in heterogeneous environments
    Saramago, Joao
    Mourao, Diogo
    Paulino, Herve
    Proceedings - 2012 IEEE International Conference on Cluster Computing Workshops, Cluster Workshops 2012, 2012, : 143 - 151
  • [39] Towards a Parallel Constraint Solver for Cloud Computing Environments
    Menouer, Tarek
    Sukhija, Nitin
    Darmon, Patrice
    2019 IEEE FIFTH INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING SERVICE AND APPLICATIONS (IEEE BIGDATASERVICE 2019), 2019, : 195 - 198
  • [40] Scheduling for Broadcast Operation in Heterogeneous Parallel Computing Environments
    Ooshita, F., 1600, John Wiley and Sons Inc. (35):