NECO: Towards a theory of network evolution

由于生物物种的进化是由几个基本机制决定的，如遗传遗传、遗传变异和自然选择，因此大规模互联网络的进化可能同样是由简单但仍未知的原则决定的。研究人员的目标是发现网络进化的基本特征，描述它的规律，以及网络研究人员或创新者可以有效影响这一过程的方式。这项研究可以导致我们理解互联网的方式以及我们如何尝试引入新功能和纠正其问题的范式转变。该项目也有一个重要的教育组成部分，包括一个新的课程，是交叉上市的计算机科学和生物学研究生课程的格鲁吉亚技术。本研究的第一个主题是互联网自治系统（AS）生态系统的演变。我们的目标是更好地了解这个复杂而动态的生态系统，组成它的实体的行为，以及这些实体之间交互的性质。AS试图通过动态地改变与之交互的AS，从而改变其生态系统的组织结构，来优化其效用或经济收益。第二个研究思路的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络演变的规律和原则。研究人员将探讨有关网络设计中进化的代价，进化和干净的石板架构之间的权衡以及分层网络组织的进化含义的问题。我们的目标不仅是了解互联网的演变，但也提供了具体的指导方针，为未来互联网的可进化架构的设计。

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.