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Parameterised architectural patterns for providing cloud service fault tolerance with accurate costings
RMIT University, Melbourne, Australia .
RMIT University, Melbourne, Australia . (IS (Embedded Systems))ORCID iD: 0000-0001-6278-4793
2013 (English)In: CBSE 2013 - Proceedings of the 16th ACM SIGSOFT Symposium on Component Based Software Engineering, 2013, 121-130 p.Conference paper, Published paper (Refereed)
Abstract [en]

Abstract Cloud computing presents a unique opportunity for science and engineering with benefits compared to traditional high-performance computing, especially for smaller compute jobs and entry-level users to parallel computing. However, doubts remain for production high-performance computing in the cloud, the so-called science cloud, as predictable performance, reliability and therefore costs remain elusive for many applications.

Place, publisher, year, edition, pages
2013. 121-130 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-23641DOI: 10.1145/2465449.2465467Scopus ID: 2-s2.0-84880552561ISBN: 9781450321228 (print)OAI: oai:DiVA.org:mdh-23641DiVA: diva2:680097
Conference
16th ACM SIGSOFT Symposium on Component Based Software Engineering, CBSE 2013; Vancouver, BC; Canada; 17 June 2013 through 21 June 2013
Available from: 2013-12-17 Created: 2013-12-16 Last updated: 2013-12-19Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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