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

Per Olov Ostberg, Henning Groenda, Stefan Wesner, James Byrne, Dimitrios S. Nikolopoulos, Craig Sheridan, Jakub Krzywda, Ahmed Ali-Eldin, Johan Tordsson, Erik Elmroth, Christian Stier, Klaus Krogmann, Joerg Domaschka, Christopher B. Hauser, PJ Byrne, Sergej Svorobej, Barry McCollum, Zafeirios Papazachos, Darren Whigham, Stephan RuethDragana Paurevic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)
358 Downloads (Pure)


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.
Original languageEnglish
Title of host publication2014 IEEE 6th International Conference on Cloud Computing Technology and Science (CloudCom)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)978-1-4799-4093-6
Publication statusPublished - Dec 2014


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