Design and implementation of a cloud computing service for finite element analysis

Authors:  Ismail Ari, Nitel Muhtaroglu

Abstract: 
This paper presents an end-to-end discussion on the technical issues related to the design and implementation of a new cloud computing service for finite element analysis (FEA). The focus is specifically on performance characterization of linear and nonlinear mechanical structural analysis workloads over multi-core and multi-node computing resources. We first analyze and observe that accurate job characterization, tuning of multi-threading parameters and effective multi-core/node scheduling are critical for service performance. We design a ‘‘smart’’ scheduler that can dynamically select some of the required parameters, partition the load and schedule it in a resource-aware manner. We can achieve up to 7.53 performance improvement over an aggressive scheduler using mixed FEA loads. We also discuss critical issues related to the data privacy, security, accounting, and portability of the cloud service. 

Keywords:
Cloud computing
Finite element analysis
Structural mechanics
Task scheduling
Multi-core
SPOOLES

Published in: Advances Engineering Software (Volume 60-61, june-july, 2013)

Publisher: Elsevier

ISSN Information: 0965-9978

Design and implementation of a cloud computing service for finite element analysis

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