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

Authors :
Östberg, Per-Olov
Groenda, Henning
Wesner, Stefan
Byrne, James
Nikolopoulos, Dimitris S.
Sheridan, Craig
Krzywda, Jakub
Ali-Eldin, Ahmed
Tordsson, Johan
Elmroth, Erik
Stier, Christian
Krogmann, Klaus
Domaschka, Jörg
Hauser, Christopher B.
Byrne, PJ
Svorobej, Sergej
McCollum, Barry
Papazachos, Zafeiros
Whigham, Darren
Rüth, Stefan
Paurevic, Dragana
Östberg, Per-Olov
Groenda, Henning
Wesner, Stefan
Byrne, James
Nikolopoulos, Dimitris S.
Sheridan, Craig
Krzywda, Jakub
Ali-Eldin, Ahmed
Tordsson, Johan
Elmroth, Erik
Stier, Christian
Krogmann, Klaus
Domaschka, Jörg
Hauser, Christopher B.
Byrne, PJ
Svorobej, Sergej
McCollum, Barry
Papazachos, Zafeiros
Whigham, Darren
Rüth, Stefan
Paurevic, Dragana
Publication Year :
2014

Abstract

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.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1234395574
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1109.CloudCom.2014.62