A Biologically Inspired Architecture for a Self Organizing Computing Network
Authors
Vasilieos Pappas, Dinesh Verma, Ananthram Swami, Brian Rivera, Yu-En Lu
Abstract
Abstract— Several usage scenarios in military and commercial domains require the need for self-organizing and self-configuring distributed systems. However, attaining self-organization in real computing systems has been an elusive goal thus far. In this paper, we examine how a biologically inspired model for computation can be used to develop practical examples of self-organizing networks. In our proposed model, elements of a computer network take on different roles depending on environmental factors, and follow a model for differentiation that is analogous to how cells differentiate in complex multi-cellular animals.
Publication Date
September, 2008
Venue
ACITA 2008
Published To
None
Publication Type
ITA Conference paper
ITA Area
Project 3, Technical area 1
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ACITA-SelfOrganization-v8.pdf
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