A Framework for User Feedback Based Cloud Service Monitoring
The increasing popularity of the cloud computing paradigm and the emerging concept of federated cloud computing have motivated research efforts towards intelligent cloud service selection aimed at developing techniques for enabling the cloud users to gain maximum benefit from cloud computing by sele...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
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Institute of Electrical and Electronics Engineers ( IEEE )
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/34475 |
| _version_ | 1848754232899928064 |
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| author | Hussain, Omar Rehman, Zia Parvin, Sazia Hussain, Farookh |
| author2 | Not Stated |
| author_facet | Not Stated Hussain, Omar Rehman, Zia Parvin, Sazia Hussain, Farookh |
| author_sort | Hussain, Omar |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The increasing popularity of the cloud computing paradigm and the emerging concept of federated cloud computing have motivated research efforts towards intelligent cloud service selection aimed at developing techniques for enabling the cloud users to gain maximum benefit from cloud computing by selecting services which provide optimal performance at lowest possible cost. Given the intricate and heterogeneous nature of current clouds, the cloud service selection process is, in effect, a multi criteria optimization or decision-making problem. The possible criteria for this process are related to both functional and nonfunctional attributes of cloud services. In this context, the two major issues are: (1) choice of a criteria-set and (2) mechanisms for the assessment of cloud services against each criterion for thorough continuous cloud service monitoring. In this paper, we focus on the issue of cloud service monitoring wherein the existing monitoring and assessment mechanisms are entirely dependent on various benchmark tests which, however, are unable to accurately determine or reliably predict the performance of actual cloud applications under a real workload. We discuss the recent research aimed at achieving this objective and propose a novel user-feedback-based approach which can monitor cloud performance more reliably and accurately as compared with the existing mechanisms. |
| first_indexed | 2025-11-14T08:37:09Z |
| format | Conference Paper |
| id | curtin-20.500.11937-34475 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:37:09Z |
| publishDate | 2012 |
| publisher | Institute of Electrical and Electronics Engineers ( IEEE ) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-344752017-09-13T15:56:35Z A Framework for User Feedback Based Cloud Service Monitoring Hussain, Omar Rehman, Zia Parvin, Sazia Hussain, Farookh Not Stated User Feedback Service Selection Cloud Monitoring Cloud Computing Cloud Services The increasing popularity of the cloud computing paradigm and the emerging concept of federated cloud computing have motivated research efforts towards intelligent cloud service selection aimed at developing techniques for enabling the cloud users to gain maximum benefit from cloud computing by selecting services which provide optimal performance at lowest possible cost. Given the intricate and heterogeneous nature of current clouds, the cloud service selection process is, in effect, a multi criteria optimization or decision-making problem. The possible criteria for this process are related to both functional and nonfunctional attributes of cloud services. In this context, the two major issues are: (1) choice of a criteria-set and (2) mechanisms for the assessment of cloud services against each criterion for thorough continuous cloud service monitoring. In this paper, we focus on the issue of cloud service monitoring wherein the existing monitoring and assessment mechanisms are entirely dependent on various benchmark tests which, however, are unable to accurately determine or reliably predict the performance of actual cloud applications under a real workload. We discuss the recent research aimed at achieving this objective and propose a novel user-feedback-based approach which can monitor cloud performance more reliably and accurately as compared with the existing mechanisms. 2012 Conference Paper http://hdl.handle.net/20.500.11937/34475 10.1109/CISIS.2012.157 Institute of Electrical and Electronics Engineers ( IEEE ) restricted |
| spellingShingle | User Feedback Service Selection Cloud Monitoring Cloud Computing Cloud Services Hussain, Omar Rehman, Zia Parvin, Sazia Hussain, Farookh A Framework for User Feedback Based Cloud Service Monitoring |
| title | A Framework for User Feedback Based Cloud Service Monitoring |
| title_full | A Framework for User Feedback Based Cloud Service Monitoring |
| title_fullStr | A Framework for User Feedback Based Cloud Service Monitoring |
| title_full_unstemmed | A Framework for User Feedback Based Cloud Service Monitoring |
| title_short | A Framework for User Feedback Based Cloud Service Monitoring |
| title_sort | framework for user feedback based cloud service monitoring |
| topic | User Feedback Service Selection Cloud Monitoring Cloud Computing Cloud Services |
| url | http://hdl.handle.net/20.500.11937/34475 |