Separation of concerns in heterogeneous cloud environments

Dapeng Dong, Huanhuan Xiong, John P. Morrison

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

The majority of existing cloud service management frameworks implement tools, APIs, and strategies for managing the lifecycle of cloud applications and/or resources. They are provided as a self-service interface to cloud consumers. This self-service approach implicitly allows cloud consumers to have full control over the management of applications as well as the underlying resources such as virtual machines and containers. This subsequently narrows down the opportunities for Cloud Service Providers to improve resource utilization, power efficiency and potentially the quality of services. This work introduces a service management framework centred around the notion of Separation of Concerns. The proposed service framework addresses the potential conflicts between cloud service management and cloud resource managment while maximizing user experience and cloud efficiency on each side. This is particularly useful as the current homogeneous cloud is evolving to include heterogeneous resources.

Original languageEnglish
Title of host publicationCLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science
EditorsDonald Ferguson, Victor Mendez Munoz, Jorge Cardoso, Jorge Cardoso, Markus Helfert, Claus Pahl
PublisherSciTePress
Pages747-752
Number of pages6
ISBN (Electronic)9789897582431
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event7th International Conference on Cloud Computing and Services Science, CLOSER 2017 - Porto, Portugal
Duration: 24 Apr 201726 Apr 2017

Publication series

NameCLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science

Conference

Conference7th International Conference on Cloud Computing and Services Science, CLOSER 2017
Country/TerritoryPortugal
CityPorto
Period24/04/1726/04/17

Keywords

  • Cloud
  • HPC
  • Resource management
  • Service management

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