SGER: Exploratory Research: Interactive Visualization and Control of Mobile Network Simulations

SGER：探索性研究：移动网络仿真的交互式可视化和控制

• 批准号: 0101866
• 负责人: Kalpathi Subramanian
• 金额: $ 5.2万
• 依托单位: University of North Carolina at Charlotte
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-03-15 至 2003-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0101866&HistoricalAwards=false
• 关键词: SGER; Exploratory; Research; Interactive; Visualization

The objective of this research is to explore information visualization schemes to interactively control, drive and analyze simulations of adaptive resource management protocols in mobile networks. The considerable number of system variables and metrics that characterize adaptive resource management protocols and the need to monitor them in real-time results in a data explosion, necessitating data visualization schemes for efficient analysis and optimization. Two ideas will be explored:1. Interactively steer simulations to optimize multi-layer adaptive protocols, via visualization interactions of appropriate simulation variables (system monitoring metrics, metric paramaters and simulation system parameters).2. Characterize and segment simulations in terms of their critical features (e.g., congestion, failure) under a variety of dynamic network conditions.Objective 1 is aimed at making the user central to the simulation environment, allowing simulations to be conrolled (stopped, backed up, variables/protocols changed) and directed towards certain predefined objectives. Dynamic visualizations of system variables and interactions among them are fundamental to this interactive exploration, and more important, the user's intuition and domain expertise helps explore (reduce) a large search space of these variables. Objective 2 is targeted at characterizing simulations by focusing on critical features of a simulaltion, such as normal, congestion, transient and steady state failure, and recovery conditions. A robust scheme to detect and track these features will permit large amounts of simulation data to be compactly represented, stored and searched. The goal is to evaluate the application of this approach to automating adaptive protocol design and optimization.The two proposed ideas will be evaluated for a specific problem instance that is being addressed by an ongoing NSF project on survivable wireless access networks. The problem is to develop a scaleable resource management scheme that integrates the use of adaptive admission control and adaptive multiple access control within hierarchical cellsite architectures of mobile networks. This multi-layer analysis and optimization problem presents a hugh search space of simulation scenarios, posing significant challenges to any type of comparative or systematic study. Earlier work has largely been restricted to individual components of such problems, at best. The approach is to cast this as a multi-variate data analysis problem, and explore several interactive multi-variate visualization methods. This should help in understanding the complex spatial and temporal relationships among the search space variables. Interactive steering is an efficient means to exploring this space and lead to desired objectives, while abstracting simulations by extracting and parameterizing critical features serves to facilitate automated evaluation of batch siumlation runs or network monitoring.Support by an SGER is being requested for two reasons. (1) The proposed application of information visualization to the mobile networking domain has not previously been attempted. The proposed work shows great promise to dramatically change/improve current approaches to development and simulation-based analysis of adaptive protocols. However, this work requires experimentation with new ideas in emerging research areas (interactive steering and feature characterization), and specific outcomes are not guaranteed. (2) Immediate support is needed since the proposed work is to be conducted in conjucntion with a newly-funded NSF project. It is expected that this will greatly enhance the progress achieved within both projects.

本研究的目的是探索信息可视化方案，以交互式控制，驱动和分析自适应资源管理协议在移动的网络的模拟。 自适应资源管理协议的系统变量和指标的数量相当多，需要实时监控它们，导致数据爆炸，需要数据可视化方案进行有效的分析和优化。 将探讨两个想法：1。通过适当的仿真变量（系统监控指标、指标参数和仿真系统参数）的可视化交互，交互式引导仿真以优化多层自适应协议。2.根据模拟的关键特征（例如，目标1旨在使用户成为模拟环境的中心，允许模拟被控制（停止、备份、变量/协议改变）并指向某些预定义的目标。 系统变量的动态可视化和它们之间的交互是这种交互式探索的基础，更重要的是，用户的直觉和领域专业知识有助于探索（减少）这些变量的大搜索空间。 目标2的目标是通过关注模拟的关键特征来表征模拟，例如正常、拥塞、瞬态和稳态故障以及恢复条件。 一个强大的计划来检测和跟踪这些功能，将允许大量的模拟数据被compatibility表示，存储和搜索。 我们的目标是评估这种方法的应用程序，自动化自适应协议的设计和optimization.The两个建议的想法将被评估的一个具体的问题，正在解决的一个正在进行的NSF项目生存的无线接入网络的实例。 这个问题是开发一个可扩展的资源管理方案，集成使用自适应准入控制和自适应多址接入控制分层蜂窝基站架构的移动的网络。 这种多层次的分析和优化问题提出了一个巨大的搜索空间的仿真场景，提出了重大挑战，任何类型的比较或系统的研究。 早期的工作大多局限于这些问题的个别组成部分，充其量。 该方法是铸造这是一个多变量的数据分析问题，并探讨了几个交互式多变量可视化方法。 这将有助于理解搜索空间变量之间复杂的空间和时间关系。 交互式操纵是探索这一空间并实现预期目标的有效手段，而通过提取和参数化关键特征来抽象模拟有助于自动评估批量模拟运行或网络监控。 (1)所提出的将信息可视化应用于移动的联网域之前还没有尝试过。 所提出的工作显示出极大的希望，显着改变/改善目前的方法来开发和基于仿真的自适应协议的分析。 然而，这项工作需要在新兴的研究领域（交互式转向和特征表征）进行新想法的实验，并且不能保证具体的结果。 (2)需要立即提供支持，因为拟议的工作将与新资助的NSF项目一起进行。 预计这将大大促进这两个项目取得的进展。