CAREER: Accessing Shared Objects and Routing in Distributed Environments

职业：在分布式环境中访问共享对象和路由

• 批准号: 9985284
• 负责人: Andrea Richa
• 金额: $ 20万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-06-15 至 2006-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9985284&HistoricalAwards=false
• 关键词: CAREER; Accessing; Shared; Objects; Routing

The research component of this project focuses on two fundamentaldistributed network problems. The first problem is that of devisingan efficient method for accessing shared information (objects) in adistributed scenario (Problem A); the second problem is probably themost fundamental problem that arises in any communication network,namely that of devising efficient point-to-point routing protocols(Problem B).More specifically, the PI proposes to accomplish the followingresearch items:- to deliver solutions to Problem A in fixed-connection networks, taking into account several important network parameters -- such as link congestion, dynamic link costs, and multiple representations of objects -- and in cellular and ad-hoc wireless mobile scenarios.- to deliver solutions to Problem B in conjunction with Problem A, with the aim of minimizing the cost of accessing an object.- to deliver solutions to Problem B on its own, in wireless mobile and fixed-connection scenarios. Not surprisingly, the problem of accessing shared objects and therouting problem in distributed environments are strongly related inmany ways. For example, they are directly related in dynamicscenarios. Therefore the PI anticipates that studying these twoproblems together in mobile scenarios will help devise bettersolutions for both problems.

该项目的研究部分重点关注两个基本的分布式网络问题。 第一个问题是设计一种在分布式场景中访问共享信息（对象）的有效方法（问题A）；第二个问题可能是任何通信网络中出现的最基本的问题，即设计有效的点对点路由协议（问题 B）。更具体地说，PI 建议完成以下研究项目：- 提供问题的解决方案A 在固定连接网络中，考虑几个重要的网络参数——例如链路拥塞、动态链路成本和对象的多种表示——以及在蜂窝和自组织无线移动场景中——提供问题 B 的解决方案结合问题A，目的是最大限度地降低访问对象的成本。- 在无线移动和固定连接场景中单独提供问题 B 的解决方案。毫不奇怪，访问共享对象的问题和分布式环境中的路由问题在很多方面都密切相关。例如，它们在动力学场景中直接相关。因此，PI 预计在移动场景中一起研究这两个问题将有助于为这两个问题设计出更好的解决方案。