Title
A Self-Organization Model For Complex Computing And Communication Systems
Keywords
Distributed systems; DNA; Fault-tolerance; Genes; Resource management; Scalability; Self-organization
Abstract
We introduce a model of self-organizing systems inspired by biological and Physics metaphors. The motivation for the development of this model is twofold, it enables us to identify critical properties of a system and to understand the important metrics characterizing its qualitative and the quantitative behavior. It also enables us to develop a methodology to investigate these systems and to carry out comparative studies of alternative policies that govern system behavior. We illustrate the application of the model with a preliminary study of a system designed to encourage green computing and we present some preliminary simulation results of the model. © 2008 IEEE.
Publication Date
12-30-2008
Publication Title
Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008
Number of Pages
149-158
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/SASO.2008.25
Copyright Status
Unknown
Socpus ID
57949092361 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/57949092361
STARS Citation
Marinescu, Dan C.; Morrison, John P.; Yu, Chen; Norvik, Christoffer; and Siegel, Howard Jay, "A Self-Organization Model For Complex Computing And Communication Systems" (2008). Scopus Export 2000s. 9474.
https://stars.library.ucf.edu/scopus2000/9474