DocumentCode :
2789430
Title :
Farewell to deterministic networks
Author :
Liotta, Antonio
Author_Institution :
Eindhoven Univ. of Technol., Eindhoven, Netherlands
fYear :
2012
fDate :
16-16 Nov. 2012
Firstpage :
1
Lastpage :
4
Abstract :
As communication networks become increasingly complex and dynamic, the three functions known as monitoring, control and management prove to be ineffective. It is increasingly difficult to operate large networks, perform diagnostics, prevent cascading failures, or deliver dependable services. I argue that this is because, although the Internet serves more terminals than there are neurons in the brain, we still handle our networks via deterministic protocols. We still try to capture the complex entangle of interconnections by creating deterministic models of the network, its traffic and control system. By the year 2020 the number of interconnected `things´ will grow by a factor of a thousand, and networks will be programmed to `learn´ how to detect new communication patterns and self-regulate, rather than acting deterministically. I introduce the anatomy of a smart network, discussing what more could be achieved with it.
Keywords :
Internet; Internet of Things; brain-computer interfaces; failure analysis; protocols; telecommunication terminals; Internet of Things; brain; cascading failure; communication network; communication pattern detection; communication terminal; control function; deterministic protocol; management function; monitoring function; network deterministic model; network interconnection; neuron; smart network; Communication networks; Internet; Monitoring; Protocols; Streaming media; Switches; Telecommunications; Internet of Things; Smart communication networks; future internet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Vehicular Technology in the Benelux (SCVT), 2012 IEEE 19th Symposium on
Conference_Location :
Eindhoven
Print_ISBN :
978-1-4673-2114-3
Electronic_ISBN :
978-1-4673-2113-6
Type :
conf
DOI :
10.1109/SCVT.2012.6399413
Filename :
6399413
Link To Document :
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