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Toward holistic performance management in clouds: taxonomy, challenges and opportunities

Authors
  • Fareghzadeh, Nafiseh
  • Seyyedi, Mir Ali
  • Mohsenzadeh, Mehran
Type
Published Article
Journal
The Journal of Supercomputing
Publisher
Springer US
Publication Date
Nov 10, 2018
Volume
75
Issue
1
Pages
272–313
Identifiers
DOI: 10.1007/s11227-018-2679-9
Source
Springer Nature
Keywords
License
Yellow

Abstract

Cloud computing is an evolving paradigm with tremendous momentum. Performance is a major challenge in providing cloud services, and performance management is prerequisite to meet quality objectives in clouds. Although many researches have studied this issue, there is a lack of analysis on management dimensions, challenges and opportunities. As an attempt toward compensating the shortage, this work first gives a review on performance management dimensions in clouds. Moreover, a taxonomic scheme has devised to classify the recent literature, help to standardize the problem and highlight commonalities and deviations. Afterward, an autonomic and integrated performance management framework has been proposed. The proposed framework enables cloud providers to realize optimization schemes without major changes. Practicality and effectiveness of the proposed framework has been demonstrated by prototype implementation on top of the CloudSim. Experiments present promising results, in terms of the performance improvement and management. Finally, open issues, opportunities and suggestions have been presented.

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