摘要翻译:
图论是分析和设计计算机通信网络的主要工具。在过去的几十年里,图论被用来研究各种类型的网络,包括互联网、广域网、局域网以及网络协议,如边界网关协议、开放最短路径协议和网络。在本文中,我们提出了一些用来表示不同类型网络的关键图论概念。然后我们描述了如何对网络进行建模以研究与网络协议相关的问题。最后,我们介绍了一些用来生成表示实际网络的图形的工具。
---
英文标题:
《Graph Theory and Optimization Problems for Very Large Networks》
---
作者:
Kamal Ahmat
---
最新提交年份:
2009
---
分类信息:
一级分类:Computer Science 计算机科学
二级分类:Networking and Internet Architecture 网络和因特网体系结构
分类描述:Covers all aspects of computer communication networks, including network architecture and design, network protocols, and internetwork standards (like TCP/IP). Also includes topics, such as web caching, that are directly relevant to Internet architecture and performance. Roughly includes all of ACM Subject Class C.2 except C.2.4, which is more likely to have Distributed, Parallel, and Cluster Computing as the primary subject area.
涵盖计算机通信网络的所有方面,包括网络体系结构和设计、网络协议和网络间标准(如TCP/IP)。还包括与Internet体系结构和性能直接相关的主题,如web缓存。大致包括除C.2.4以外的所有ACM主题类C.2,后者更有可能将分布式、并行和集群计算作为主要主题领域。
--
一级分类:Computer Science 计算机科学
二级分类:Artificial Intelligence
人工智能
分类描述:Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域,除了视觉、机器人、机器学习、多智能体系统以及计算和语言(自然语言处理),这些领域有独立的学科领域。特别地,包括专家系统,定理证明(尽管这可能与计算机科学中的逻辑重叠),知识表示,规划,和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
--
---
英文摘要:
Graph theory provides a primary tool for analyzing and designing computer communication networks. In the past few decades, Graph theory has been used to study various types of networks, including the Internet, wide Area Networks, Local Area Networks, and networking protocols such as border Gateway Protocol, Open shortest Path Protocol, and Networking Networks. In this paper, we present some key graph theory concepts used to represent different types of networks. Then we describe how networks are modeled to investigate problems related to network protocols. Finally, we present some of the tools used to generate graph for representing practical networks.
---
PDF链接:
https://arxiv.org/pdf/0907.3099