Now showing items 1-5 of 5

  • Bayesian Hierarchical Models for Uncertainty Quantification in Structural Dynamics 

    Ballesteros, G. C.; Angelikopoulos, P.; Papadimitriou, C.; Koumoutsakos, P. (2014)
    The Bayesian framework for hierarchical modeling is applied to quantify uncertainties, arising mainly due to manufacturing variability, for a group of identical structural components. Parameterized Gaussian models of ...
  • Dynamic overload balancing in server farms 

    Li, C. P.; Paschos, G. S.; Tassiulas, L.; Modiano, E. (2014)
    We consider the problem of optimal load balancing in a server farm under overload conditions. A convex penalty minimization problem is studied to optimize queue overflow rates at the servers. We introduce a new class of ...
  • Planning of dynamic mobile optical virtual network infrastructures supporting cloud services 

    Anastasopoulos, M. P.; Tzanakaki, A.; Rofoee, B.; Peng, S.; Zervas, G.; Simeonidou, D.; Landi, G.; Bernini, G.; Ciulli, N.; Riera, J. F.; Escalona, E.; Garcia-Espin, J. A.; Katsalis, K.; Korakis, T. (2014)
    This paper proposes a next generation ubiquitous converged infrastructure to support Cloud and mobile Cloud computing services. The proposed infrastructure facilitates interconnection of fixed and mobile end users with ...
  • Reliability sensitivity analysis of stochastic finite element models 

    Jensen, H. A.; Mayorga, F.; Papadimitriou, C. (2015)
    This contribution presents a scheme for integrating a model reduction technique into a simulation-based method for reliability sensitivity analysis of a class of medium/large nonlinear finite element models under stochastic ...
  • Uncertainty calibration of large-order models of bridges using ambient vibration measurements 

    Papadimitriou, C.; Argyris, C.; Papadioti, D. C.; Panetsos, P. (2014)
    A computational efficient Bayesian inference framework based on stochastic simulation algorithms is presented for calibrating the parameters of large-order linear finite element (FE) models of bridges. The effectiveness ...