PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Gribaudo, Marco"

Author of the publication

copydeleteadd this publication to your clipboard
Fluid models for large-scale wireless sensor networks.

, , , , , and . Perform. Eval., 64 (7-8): 715-736 (2007)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Marco Ströbel University of Stuttgart

Marco Testa University of Stuttgart

Marco Maier University of Stuttgart

Dr. Marco Spurk University of Stuttgart

Marco Dettling University of Stuttgart

 

Other publications of authors with the same name

ParSim: A Tool for Workload Modeling and Reproduction of Parallel Applications., , , , and . MASCOTS, page 494-497. IEEE Computer Society, (2014)Fluid models for large-scale wireless sensor networks., , , , , and . Perform. Eval., 64 (7-8): 715-736 (2007)Efficient steady-state analysis of second-order fluid stochastic Petri nets., and . Perform. Eval., 63 (9-10): 1032-1047 (2006)DrawNet++: A Flexible Framework for Building Dependability Models., , , , and . DSN, page 540. IEEE Computer Society, (2002)Hybrid Petri nets with general one-shot transitions., and . Perform. Eval., (2016)Three Layers Network Influence On Cloud Data Center Performances., , and . ECMS, page 621-627. European Council for Modeling and Simulation, (2016)Discretization of 3D Models Using Voxel Elements of Different Shapes., and . Computational Aesthetics, page 91-98. Eurographics Association, (2010)An Efficient Algorithm for the Transient Analysis of a Class of Deterministic Stochastic Petri Nets., and . DSN, page 835-844. IEEE Computer Society, (2004)Multi-Class Queuing Networks Models for Energy Optimization., , , , and . EAI Endorsed Trans. Energy Web, 2 (6): e4 (2015)Analytical modeling of swarm intelligence in wireless sensor networks through Markovian agents., , , , and . VALUETOOLS, page 52. ICST/ACM, (2009)