On Nash Equilibria in Non-Cooperative All-Optical Networks

Autor: Vittorio Bilò, Michele Flammini, Luca Moscardelli
Přispěvatelé: Bilo', Vittorio, Flammini, M, Moscardelli, L., Bilò, Vittorio, Flammini, M.
Jazyk: angličtina
Rok vydání: 2005
Předmět:
Mathematical optimization
Computer Science::Computer Science and Game Theory
lcsh:T55.4-60.8
Computer science
optical networks
0102 computer and information sciences
02 engineering and technology
selfish routing
Network topology
01 natural sciences
lcsh:QA75.5-76.95
Theoretical Computer Science
symbols.namesake
WDM
Complete information
0202 electrical engineering
electronic engineering
information engineering

Price of anarchy
lcsh:Industrial engineering. Management engineering
Price of stability
Numerical Analysis
price of anarchy
TheoryofComputation_GENERAL
algorithmic game theory
020206 networking & telecommunications
Function (mathematics)
Algorithmic game theory
Nash equilibria
Optical networks
Price of anarchy
Pricing of optical network services
Selfish routing
WDM

Computational Mathematics
nash equilibria
Computational Theory and Mathematics
010201 computation theory & mathematics
Nash equilibrium
Best response
pricing of optical network services
symbols
lcsh:Electronic computers. Computer science
Algorithmic game theory
Routing (electronic design automation)
Epsilon-equilibrium
Constant (mathematics)
Congestion game
Zdroj: STACS 2005 ISBN: 9783540249986
STACS
Algorithms, Vol 14, Iss 15, p 15 (2021)
Scopus-Elsevier
Algorithms
Volume 14
Issue 1
Popis: In this paper we investigate the problem in which an all-optical network provider must determine suitable payment functions for non-cooperative agents wishing to communicate so as to induce routings in Nash equilibrium using a low number of wavelengths. We assume three different information levels specifying the local knowledge that agents may exploit to compute their payments. While under complete information of all the agents and their routing strategies we show that functions can be determined that perform how centralized algorithms preserving their time complexity, knowing only the used wavelengths along connecting paths (minimal level) or along the edges (intermediate level) the most reasonable functions either do not admit equilibria or equilibria with a different color assigned to each agent, that is with the worst possible ratio between the Nash versus optimum performance, also called price of anarchy. However, by suitably restricting the network topology, a price of anarchy 25.72 has been obtained for chains and 51.44 for rings under the minimal level, and further reduced respectively to 3 and 6 under the intermediate level, up to additive factors converging to 0 as the load increases. Finally, again under the minimal level, a price of anarchy logarithmic in the number of agents has been determined also for trees.
Databáze: OpenAIRE