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

Name: Design and implementation of a cloud computing service for finite element analysis
Author: Arı, İsmail, Muhtaroğlu, Nitel

İsim	Design and implementation of a cloud computing service for finite element analysis
Yazar	Arı, İsmail, Muhtaroğlu, Nitel
Basım Tarihi:	2013-06
Basım Yeri	- Elsevier
Konu	Cloud computing, Finite element analysis, Structural mechanics, Task scheduling, Multi-core, SPOOLES
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0965-9978
Kayıt Numarası	035f02b5-336f-458a-86d1-db5fbcc01f52
Lokasyon	Computer Science
Tarih	2013-06
Notlar	European Commission ; IBM Shared University Research (SUR) program ; TÜBİTAK ; IBM PhD Fellowship award
Örnek Metin	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

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

Yazar Arı, İsmail, Muhtaroğlu, Nitel

Basım Tarihi 2013-06

Basım Yeri - Elsevier

Konu Cloud computing, Finite element analysis, Structural mechanics, Task scheduling, Multi-core, SPOOLES

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0965-9978

Kayıt Numarası 035f02b5-336f-458a-86d1-db5fbcc01f52

Lokasyon Computer Science

Tarih 2013-06

Notlar European Commission ; IBM Shared University Research (SUR) program ; TÜBİTAK ; IBM PhD Fellowship award

Örnek Metin 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