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
  • [1] Visualizing parallel simulations that execute in network computing environments
    Department of Computer Science, Rensselaer Polytech. I., Troy, NY 12180-3590, United States
    不详
    不详
    不详
    Future Gener Comput Syst, 4 (513-529):
  • [2] Visualizing parallel simulations in network computing environments: A case study
    Carothers, CD
    Topol, B
    Fujimoto, RM
    Stasko, JT
    Sunderam, V
    PROCEEDINGS OF THE 1997 WINTER SIMULATION CONFERENCE, 1997, : 110 - 117
  • [3] Optimistic Synchronization of Parallel Simulations in Cloud Computing Environments
    Malik, Asad Waqar
    Park, Alfred
    Fujimoto, Richard M.
    CLOUD: 2009 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, 2009, : 49 - +
  • [4] Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations
    Landge, Aaditya G.
    Levine, Joshua A.
    Isaacs, Katherine E.
    Bhatele, Abhinav
    Gamblin, Todd
    Schulz, Martin
    Langer, Steve H.
    Bremer, Peer-Timo
    Pascucci, Valerio
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2012, 18 (12) : 2467 - 2476
  • [5] Using MPI to execute a FuzzyCLIPS application in parallel in heterogeneous computing systems
    Wu, Chao-Chin
    Lai, Lien-Fu
    Chang, Yu-Shuo
    2008 IEEE 8TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY, VOLS 1 AND 2, 2008, : 279 - 284
  • [6] Parallel Computing Environments: A Review
    Mishra, Bhabani Shankar Prasad
    Dehuri, Satchidananda
    IETE TECHNICAL REVIEW, 2011, 28 (03) : 240 - 247
  • [7] Parallel computing environments and methods
    Fadlallah, G
    Lavoie, M
    Dessaint, LA
    INTERNATIONAL CONFERENCE ON PARALLEL COMPUTING IN ELECTRICAL ENGINEERING - PARELEC 2000, PROCEEDINGS, 2000, : 2 - 7
  • [8] Parallel Computing for Tire Simulations
    Surendranath, H.
    Dunbar, M.
    TIRE SCIENCE AND TECHNOLOGY, 2011, 39 (03) : 193 - 209
  • [9] Network and parallel computing
    Li, Keqiu
    Shen, Yanming
    Guo, Minyi
    COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2009, 24 (03): : 131 - 132
  • [10] Network and Parallel Computing
    Ching-Hsien Hsu
    Valentina Salapura
    International Journal of Parallel Programming, 2016, 44 : 1 - 4