NECO: Towards a theory of network evolution

NECO：迈向网络演化理论

• 批准号: 0831848
• 负责人: Constantinos Dovrolis
• 金额: $ 37万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0831848&HistoricalAwards=false
• 关键词: NECO; Towards; theory; network; evolution

As the evolution of living species is determined by few basic mechanisms, such as genetic heritage, genetic variation, and natural selection, it may be that the evolution of large-scale internetworks is similarly determined by simple, but still unknown, principles.The investigators aim to discover the fundamental character of network evolution, the laws that describe it, and ways in which networking researchers or innovators can effectively influence this process.This research can cause a paradigm shift in the way we understand the Internet and on how we attempt to introduce new features and correct its problems. The project also has a significant education component, including a new course that is cross-listed in the computer science and biology graduate programs of Georgia Tech. The first thread of this research focuses on the evolution of the Internet Autonomous System (AS) ecosystem. The goal is to better understand this complex and dynamic ecosystem, the behavior of entities that constitute it, and the nature of interactions between those entities. ASes attempt to optimize their utility or financial gains by dynamically changing the ASes they interact with, and thus by changing the organization of their ecosystem.In the second research thread, the focus is on the evolution of network design and architecture and on the laws and principles that determine the evolution of large-scale internetworks. The investigators will explore questions about the price of evolution in network design, the trade-offs between evolutionary and clean-slate architectures and the evolutionary implications of layered network organization. The objective is not only to understand the evolution of the Internet, but also to provide concrete guidelines for the design of evolvable architectures for the Future Internet.

由于活物种的进化是由很少的基本机制决定的，例如遗传遗产，遗传变异和自然选择，因此大型互联网工程的演变同样由简单但尚不清楚的原理确定。研究人员旨在发现网络进化的基本特征，这些法律描述了它的范围，并在研究中造成了这些方法，并有效地研究了这一方法，该方法有效地研究了这些方法。我们了解互联网以及如何尝试引入新功能并纠正其问题。该项目还具有重要的教育组成部分，其中包括佐治亚理工学院计算机科学和生物学研究生课程中的新课程。这项研究的第一个线程着重于互联网自治系统（AS）生态系统的演变。目标是更好地理解这个复杂而动态的生态系统，构成其实体的行为以及这些实体之间相互作用的性质。 ASE试图通过动态地改变与他们相互作用的ASE相互作用，从而改变其生态系统的组织来优化其实用性或财务收益。在第二个研究主题中，重点是网络设计和体系结构的演变以及决定大规模互联网的演变的法律和原则。调查人员将探讨有关网络设计进化价格的问题，进化和清洁式体系结构之间的权衡以及分层网络组织的进化含义。目的不仅是了解互联网的演变，而且还为为未来的互联网设计提供了具体的指南。