DocumentCode
1876927
Title
Mitigating systemic risks in future networks
Author
Manzalini, Antonio ; Crespi, Noel
Author_Institution
Strategy - Future Centre, Telecom Italia, Italy
fYear
2012
fDate
17-19 Sept. 2012
Firstpage
176
Lastpage
180
Abstract
This paper elaborates about the potential risks of systemic instabilities in future networks and proposes a methodology to control and mitigate them. The starting concept is modeling the network as a complex environment (e.g. ecosystem) of resources and associated controllers in a continuous and dynamic game of cooperation and competition. Key observation is that Internet might be viewed as “self-organizing” and that this is achieved through “constrained optimizations” (through protocols methods, algorithms, etc). The methodology foresees defining and associating utility functions to these controllers and elaborating a global utility function (as an aggregated function of local utilities) for the overall network. It is conjectured that the optimization of proper global utility functions ensures network optimization and stability at the same time.
Keywords
cloud computing; Internet; cloud computing; constrained optimization; continuous game; dynamic game; future network; global utility function; network optimization; network stability; systemic risk mitigation; Dynamic scheduling; Ecosystems; Optimization; Protocols; Routing; Software; Stability analysis; Cloud Computing; Network of Networks; Self-Governance; Self-Organization; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2012 IEEE 17th International Workshop on
Conference_Location
Barcelona
Print_ISBN
978-1-4673-3123-4
Electronic_ISBN
978-1-4673-3124-1
Type
conf
DOI
10.1109/CAMAD.2012.6335327
Filename
6335327
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