A Decomposition Approach to Hierarchical Management of Cloud Data Center Services

Combining centralized and distributed management within hierarchical management system of cloud data center allows to ensure the scalability and to determine the global system state. The authors apply the hierarchy theory by decomposing a cloud data center into an infrastructure, a platform and appl...

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Bibliographic Details
Published in2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT) Vol. 1; pp. 42 - 47
Main Authors Zharikov, Eduard, Rolik, Oleksandr, Telenyk, Sergii
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2018
Subjects
Cloud computing
cloud data center
Computational modeling
Data centers
hierarchical management
Information services
IT infrastructure
Nonhomogeneous media
Quality of service
quality of services
resource management
Software
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Summary:Combining centralized and distributed management within hierarchical management system of cloud data center allows to ensure the scalability and to determine the global system state. The authors apply the hierarchy theory by decomposing a cloud data center into an infrastructure, a platform and application layers each consisted of processes that can be managed separately while taking into account different objectives. The authors propose the architecture of a multilayer hierarchical management system for the complex object such as cloud data center. The proposed architecture combines traditional resource management techniques with templates and configuration management on higher layers of the hierarchical model. It allows controlling information services of a cloud data center on the criterion of minimizing costs and minimizing the deviation of the quality of service parameters from the given ones. The proposed model can also be used to assess the effectiveness of the service management by the quality of provided services, by the cost of using data center resources and by the cost of SLA violation penalty.
DOI:10.1109/STC-CSIT.2018.8526764