A Flexible Tool for Scenario Analysis of Network Demand

被引:0
|
作者
O'Donnel, Jack E. [1 ]
George, Ayanah S. [2 ]
Wynn, Danielle M. [2 ]
Brett, Samuel W. [2 ]
Ridder, Jeffrey P. [2 ]
Signori, David T. [2 ]
Schoenborn, Heather W. [3 ]
机构
[1] Johns Hopkins Univ, Appl Phys Lab, 11100 Johns Hopkins Rd, Laurel, MD 20723 USA
[2] Evidence Based Res, Vienna, VA 22182 USA
[3] Off Secretary Def, Washington, DC 20301 USA
关键词
mission assurance; demand estimation; information exchange requirements; network modeling; agent based algorithms;
D O I
10.1117/12.918569
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This is another in a sequence of papers reporting on the development of innovative methods and tools for estimating demand requirements for network supply capabilities. An extension of the demand estimation methodology, this paper focuses on steps required to assess the adequacy of performance of candidate networks by means of an integrated tool. The steps include mapping units in a scenario to units in the associated database to determine their aggregate demand, developing an appropriate logical network with computational constraints dictated by the scenario, and calculating inter-unit demand of the units in the logical network. Because of the complexity of the end-to-end process, assuring repeatability while facilitating rapid exploration of issues is a challenge. Earlier tools implementing this process were fragmented and prone to error, requiring significant analyst effort to accomplish even the smallest changes. To address these limitations, the process has been implemented in an easy to use, integrated tool. This allows complete flexibility in manipulating data and promotes rapid, but repeatable analyses of tailored scenarios.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Flexible Multi-State Switch Application Scenario Analysis
    Su Menghan
    Huo Qunhai
    Wei Tongzhen
    Guo Xinming
    PROCEEDINGS OF THE 2019 14TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2019), 2019, : 1367 - 1372
  • [42] An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand
    Gupta, Saurabh
    Black-Schaffer, W. Stephen
    Crawford, James M.
    Gross, David
    Karcher, Donald S.
    Kaufman, Jill
    Knapman, Doug
    Prystowsky, Michael B.
    Wheeler, Thomas M.
    Bean, Sarah
    Kumar, Paramhans
    Sharma, Raghav
    Chamoli, Vaibhav
    Ghai, Vikrant
    Gogia, Vineet
    Weintraub, Sally
    Cohen, Michael B.
    Robboy, Stanley J.
    ACADEMIC PATHOLOGY, 2015, 2 (04):
  • [43] A scenario approach to demand forecasting
    Westcott, R
    EFFICIENT USE AND MANAGEMENT OF WATER FOR URBAN SUPPLY, 2004, 4 (03): : 45 - 55
  • [44] Broadband Demand Analysis for Network Building
    Motoi Iwashita
    Ken Nishimatsu
    Takeshi Kurosawa
    Shinsuke Shimogawa
    The Review of Socionetwork Strategies, 2010, 4 (1) : 17 - 28
  • [45] Broadband Demand Analysis for Network Building
    Iwashita, Motoi
    Nishimatsu, Ken
    Kurosawa, Takeshi
    Shimogawa, Shinsuke
    REVIEW OF SOCIONETWORK STRATEGIES, 2010, 4 (01): : 17 - 28
  • [46] Network-In-a-Box: A Survey About On-Demand Flexible Networks
    Pozza, Matteo
    Rao, Ashwin
    Flinck, Hannu
    Tarkoma, Sasu
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2018, 20 (03): : 2407 - 2428
  • [47] Network reliability framework integrating demand response and flexible OHL ratings
    Abogaleela, Mohamed
    Kopsidas, Konstantinos
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 13 (21) : 4809 - 4820
  • [48] The concept and impact analysis of a flexible mobility on demand system
    Atasoy, Bilge
    Ikeda, Takuro
    Song, Xiang
    Ben-Akiva, Moshe E.
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2015, 56 : 373 - 392
  • [49] Energy Demand Outlook and Scenario Analysis of Carbon Dioxide Emission of China
    Wang, Juan
    Yang, Haizhen
    Lu, Zhibo
    2010 THE SECOND CHINA ENERGY SCIENTIST FORUM, VOL 1-3, 2010, : 1280 - 1286
  • [50] Scenario analysis for the energy demand and carbon emissions in low carbon city
    ZHU Jing
    LIU Xue-min
    PANG Wei-hong
    Ecological Economy, 2015, 11 (02) : 130 - 138