COMPUTER SCIENCE: Biologically Inspired Networking

Biologically Inspired Networking

The development of computer networks has seen a paradigm shift from static, hierarchical network structures to highly distributed, autonomous systems without any form of centralized control. For networking nodes, the ability to self-adapt and self-organize in a changing environment has become a key issue. In conventional network structures, e.g., the Internet, there is usually a hierarchical or...

A taxonomy of biologically inspired research in computer networking

The natural world is enormous, dynamic, incredibly diverse, and highly complex. Despite the inherent challenges of surviving in such a world, biological organisms evolve, self-organize, self-repair, navigate, and flourish. Generally, they do so with only local knowledge and without any centralized control. Our computer networks are increasingly facing similar challenges as they grow larger in s...

Biologically Inspired Defenses Against Computer Viruses

Today's anti-virus technology, based largely on analysis of existing viruses by human experts, is just barely able to keep pace with the more than three new computer viruses that are written daily. In a few years, intelligent agents navigating through highly connected networks are likely to form an extremely fertile medium for a new breed of viruses. At I B M , we are developing novel, biologic...

Biologically Inspired Fault-Tolerant Computer Systems

Computer Science and Artificial Intelligence Laboratory Biologically-Inspired Robust Spatial Programming

Inspired by the robustness and flexibility of biological systems, we are developing linguistic and programming tools to allow us to program spatial systems populated by vast numbers of unreliable components interconnected in unknown, irregular, and time-varying ways. We organize our computations around geometry, making the fact that our system is made up of discrete individuals implicit. Geomet...