0000000000481972

AUTHOR

Giuseppe D'acquisto

showing 4 related works from this author

An Innovative Pricing Method for Telecommunication Services Pricing through American Options

2009

With the evolution of telecommunication networks and of their services the role of service provider is changed, so nowadays there is a coexistence of Network Operators and Virtual Operators. The difference between these players is not in the way they offer a service but primarily in their economic objectives and risk attitudes. Essentially, Network Operators own their infrastructures and typically have to sustain both fixed costs (CAPEX) and recurrent costs (OPEX), while Virtual Operators may have a simpler cost structure, mainly consisting of OPEX for the hire of network resources. Since these two operators can provide the same service in two different markets, their objectives differ subs…

Service (business)Operations researchComputer Networks and CommunicationsVariable pricingComputer scienceQuality of serviceTelecommunications serviceCongestion pricingService providerFixed costOperating expense
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Cross-entropy-based adaptive optimization of simulation parameters for Markovian-driven service systems

2005

Abstract Markov fluid models represent a general description of the process of service request arrivals to service systems. The solution of performance analysis problems incorporating them often calls for a simulation approach, for which a reference methodology is Importance Sampling. However, in this case the appropriate choice of the biasing conditions is a problem in itself. In this paper an iterative method based on the cross-entropy is proposed for this choice. The equations are given that allow to derive the biasing conditions from the simulation itself. The application of the proposed method to three different sample cases, referring to one transient scenario (finite time horizon and…

Mathematical optimizationImportance samplingMarkov chainIterative methodComputer scienceAdaptive optimizationSettore ING-INF/03 - TelecomunicazioniMarkov processSimulation techniquesCross-entropy; Importance sampling; Markov fluid models; Rare event simulation; Simulation techniquesMarkov fluid modelssymbols.namesakeRare event simulationCross entropyHardware and ArchitectureControl theoryModeling and SimulationPath (graph theory)symbolsTransient (computer programming)Cross-entropySoftwareImportance sampling
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American Options Based Service Pricing For Virtual Operators

2008

In the recent years, the role of service provider has split into two broad categories: Network Operators, offering services over their networks, and Virtual Operators, providing services over leased resources. What differentiates these players is to a minor extent a matter of enhanced service offer, and primarily a matter of economic objectives and risk attitudes. Essentially, Network Operators own their infrastructures and typically have to sustain both fixed costs (CAPEX) and recurrent costs (OPEX), while Virtual Operators may have a simpler cost structure, mainly consisting of OPEX for hiring the network. Correspondingly, the objectives of these players may differ profoundly: on one hand…

Service (business)Operations researchComputer scienceQuality of serviceService providerCongestion pricingOperating expenseComputer securitycomputer.software_genreFixed costEnhanced serviceVirtual networkcomputer
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A Quick Simulation Technique for a Fluid Information Storage Problem

2001

Summary In this paper we present an application of Importance Sampling (IS) for quick simulation of buffer overflow probability in a statistical multiplexer loaded with a number of independent Markov modulated fluid sources. Runtime improvement is deducible from NMCσ2(p) and NISσ2(p*) that characterize the trade-offs between sample size and variance of the estimators of buffer overflow probability experienced in Monte Carlo (MC) and Importance Sampling simulations. By assuming that the same precision is achieved for the two kinds of simulations if σ2(p)=σ2(p*), an approximate closed form expression for the ratio NIS/NMC is derived, and it is minimized with respect to the load of the multipl…

Mathematical optimizationMarkov chainComputer scienceSample size determinationMonte Carlo methodEstimatorElectrical and Electronic EngineeringClosed-form expressionMultiplexerAlgorithmImportance samplingBuffer overflowAEU - International Journal of Electronics and Communications
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