|
Title:
|
AN APPROACH FOR SECURE CLOUD COMPUTING FOR FEM SIMULATION |
|
Author(s):
|
Jörg Frochte, Christof Kaufmann, Patrick Bouillon |
|
ISBN:
|
978-989-8533-25-8 |
|
Editors:
|
Hans Weghorn |
|
Year:
|
2014 |
|
Edition:
|
Single |
|
Keywords:
|
Cloud Computing, Safety & Security, Simulation Data Mining, Machine Learning, Assistant systems, FEM |
|
Type:
|
Short Paper |
|
First Page:
|
234 |
|
Last Page:
|
238 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
This paper deals with the challenge to make cloud computing an acceptable way for finite element method (FEM) simulations. This is of special interest for small and mid-size engineering companies (SMEs), for whom it makes no sense to provide a computation cluster for a few big simulations per year. The approach we propose makes use of the specific properties of the FEM and with these it enables the user to simulate in the cloud without risking sensitive information. The opportunity to split the simulation on different providers increases the security of the method but leads to a quite big set of parameters for the user to choose. To make the approach attractive for end-users we integrate simulation data mining based assistance systems. |
|
|
|
|
|
|
