Author
Arı, İsmail, Muhtaroğlu, Nitel
Publication Date
2013-06
Publication Place
-
Elsevier
Subject
Cloud computing, Finite element analysis, Structural mechanics, Task scheduling, Multi-core, SPOOLES
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
0965-9978
Record ID
035f02b5-336f-458a-86d1-db5fbcc01f52
Library Location
Computer Science
Date
2013-06
Notes
European Commission ; IBM Shared University Research (SUR) program ; TÜBİTAK ; IBM PhD Fellowship award
Sample Text
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.
DOI
10.1016/j.advengsoft.2012.10.003
Cilt
60-61
