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The CACTOS Vision of Context-Aware Cloud Topology Optimization and Simulation

Östberg, Per-Olov, 1973- (author)
Umeå universitet,Institutionen för datavetenskap
Groenda, Henning (author)
Wesner, Stefan (author)
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Byrne, James (author)
Nikolopoulos, Dimitris S. (author)
Sheridan, Craig (author)
Krzywda, Jakub (author)
Umeå universitet,Institutionen för datavetenskap
Ali-Eldin, Ahmed (author)
Umeå universitet,Institutionen för datavetenskap
Tordsson, Johan (author)
Umeå universitet,Institutionen för datavetenskap
Elmroth, Erik (author)
Umeå universitet,Institutionen för datavetenskap
Stier, Christian (author)
Krogmann, Klaus (author)
Domaschka, Jörg (author)
Hauser, Christopher B. (author)
Byrne, PJ (author)
Svorobej, Sergej (author)
McCollum, Barry (author)
Papazachos, Zafeiros (author)
Whigham, Darren (author)
Rüth, Stefan (author)
Paurevic, Dragana (author)
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 (creator_code:org_t)
2014
2014
English.
In: 2014 IEEE 6th International Conference on Cloud Computing Technology and Science. - 9781479940936 ; , s. 26-31
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

datalogi
Computer Science

Publication and Content Type

ref (subject category)
kon (subject category)

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