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The CACTOS Vision of Context-Aware Cloud Topology Optimization and Simulation
Umeå University, Faculty of Science and Technology, Department of Computing Science.
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2014 (English)In: 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, 2014, p. 26-31Conference paper, Published paper (Refereed)
Abstract [en]

Recent advances in hardware development coupled with the rapid adoption and broad applicability of cloud computing have introduced widespread heterogeneity in data centers, significantly complicating the management of cloud applications and data center resources. This paper presents the CACTOS approach to cloud infrastructure automation and optimization, which addresses heterogeneity through a combination of in-depth analysis of application behavior with insights from commercial cloud providers. The aim of the approach is threefold: to model applications and data center resources, to simulate applications and resources for planning and operation, and to optimize application deployment and resource use in an autonomic manner. The approach is based on case studies from the areas of business analytics, enterprise applications, and scientific computing.

Place, publisher, year, edition, pages
2014. p. 26-31
Series
International Conference on Cloud Computing Technology and Science, ISSN 2330-2194
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-135841DOI: 10.1109/CloudCom.2014.62ISI: 000392947000004ISBN: 978-1-4799-4093-6 (electronic)OAI: oai:DiVA.org:umu-135841DiVA, id: diva2:1106440
Conference
6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom), DEC 15-18, 2014, Singapore, SINGAPORE
Available from: 2017-06-07 Created: 2017-06-07 Last updated: 2018-06-09Bibliographically approved

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Östberg, Per-OlovKrzywda, JakubAli-Eldin, AhmedTordsson, JohanElmroth, Erik

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Östberg, Per-OlovKrzywda, JakubAli-Eldin, AhmedTordsson, JohanElmroth, Erik
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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  • en-US
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  • nn-NO
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  • Other locale
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Output format
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