STAMINA
Statistical Mechanics Inspired Methods for Green AutonomousnNetworking
| Coordinatore | ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Organization address
address: CHARILAOU THERMI ROAD 6th Km contact info |
| Nazionalità Coordinatore | Greece [EL] |
| Totale costo | 2˙604˙915 € |
| EC contributo | 2˙004˙239 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2009-C |
| Funding Scheme | CP |
| Anno di inizio | 2011 |
| Periodo (anno-mese-giorno) | 2011-01-01 - 2014-04-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Organization address
address: CHARILAOU THERMI ROAD 6th Km contact info |
EL (THERMI THESSALONIKI) | coordinator | 0.00 |
| 2 |
ASTON UNIVERSITY
Organization address
address: ASTON TRIANGLE contact info |
UK (BIRMINGHAM) | participant | 0.00 |
| 3 |
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE
Organization address
address: RUE MICHEL -ANGE contact info |
FR (PARIS) | participant | 0.00 |
| 4 |
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Organization address
address: BATIMENT CE 3316 STATION 1 contact info |
CH (LAUSANNE) | participant | 0.00 |
| 5 |
POLITECNICO DI TORINO
Organization address
address: CORSO DUCA DEGLI ABRUZZI contact info |
IT (TORINO) | participant | 0.00 |
| 6 |
UNIVERSITE PARIS-SUD
Organization address
address: RUE GEORGES CLEMENCEAU contact info |
FR (ORSAY) | participant | 0.00 |
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Obiettivo del progetto (Objective)
STAMINA will leverage statistical physics inspired methods to deliver a novel foundational framework for managing complexity in information network mega-structures and for efficientlly solving large-scale network optimization problems that are intractable by classical methods.Recent success stories like the effective decoding of LDPC codes in information theory support the great promise of the approach.A cross-disciplinary work plan is proposed, at the interface of statistical physics, networking and computer science.A network optimization problem with given objective over a space of possible configurations is mapped to a statistical physics problem instance with probability distribution over possible configurations.Solving the optimization problem is equivalent to finding minimum energy configurations where probability distribution concentrates.Statistical mechanics theories from spin glass and disordered systems will establish fundamental connections among atomic micro-interactions, emergent network behaviour and phase transitions.Belief propagation message passing methods will be harnessed, that disassemble the hard centralized combinatorial problem to iterative lightweight local messaging, thus achieving autonomic network control at no cost for solution dissemination, and promoting green computing through ultra-low processing load.Flexibility and simplicity enable real-time adaptation at different time scales of variations through online construction of solutions.Three challenging case studies (energy-prudent control at device and network level, resource management regimes for optimal transport capacity and latency, and inference of hidden network states) serve as proof-of-concept for enabling novel, currently suppressed functionalities.A solid validation plan is laid, with large-scale simulation and test-bed experimentation. Notable achievements of members of our team make us optimistic about the potential of the methods and motivate our research agenda.