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

Author

Ostberg, Per-Olov ; Groenda, Henning ; Wesner, Stefan ; Byrne, James ; Nikolopoulos, Dimitrios S. ; Sheridan, Craig ; Krzywda, Jakub ; Ali-Eldin, Ahmed ; Tordsson, Johan ; Elmroth, Erik ; Stier, Christian ; Krogmann, Klaus ; Domaschka, Jorg ; Hauser, Chri

Author_Institution

Dept. of Comput. Sci., Umea Univ., Umea, Sweden

fYear

2014

fDate

15-18 Dec. 2014

Firstpage

26

Lastpage

31

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.

Keywords

cloud computing; computer centres; optimisation; resource allocation; ubiquitous computing; CACTOS vision; cloud computing; context-aware cloud topology optimization; data center resource; Computational modeling; Data models; Hardware; Monitoring; Optimization; Topology; Virtual machining; Cloud infrastructure optimization; autonomic computing; cloud modelling; cloud monitoring; cloud simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on

Conference_Location

Singapore

Type

conf

DOI

10.1109/CloudCom.2014.62

Filename

7037644