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
Link To Document :
بازگشت