Per-Olov Östberg, Henning Groenda, S. Wesner, James Byrne, Dimitrios S. Nikolopoulos, Craig Sheridan, Jakub Krzywda, A. Ali-Eldin, Johan Tordsson, E. Elmroth, Christian Stier, K. Krogmann, Jörg Domaschka, Christopher B. Hauser, P. J. Byrne, Sergej Svorobej, B. McCollum, Zafeirios C. Papazachos, D. Whigham, S. Ruth, Dragana Paurevic
{"title":"The CACTOS Vision of Context-Aware Cloud Topology Optimization and Simulation","authors":"Per-Olov Östberg, Henning Groenda, S. Wesner, James Byrne, Dimitrios S. Nikolopoulos, Craig Sheridan, Jakub Krzywda, A. Ali-Eldin, Johan Tordsson, E. Elmroth, Christian Stier, K. Krogmann, Jörg Domaschka, Christopher B. Hauser, P. J. Byrne, Sergej Svorobej, B. McCollum, Zafeirios C. Papazachos, D. Whigham, S. Ruth, Dragana Paurevic","doi":"10.1109/CloudCom.2014.62","DOIUrl":null,"url":null,"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.","PeriodicalId":249306,"journal":{"name":"2014 IEEE 6th International Conference on Cloud Computing Technology and Science","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 6th International Conference on Cloud Computing Technology and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CloudCom.2014.62","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30
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.
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