Semantic Similarity Model for Risk Assessment in Forming Cloud Computing SLAs
Cloud computing has enabled users to access various resources and applications as a service and in return pay the provider only for the time for which they are used. Service Level Agreements (SLA) are formed between the user and provider to ensure that the required services and applications are deli...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Book Chapter |
| Published: |
Springer
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/28292 |
| _version_ | 1848752496891133952 |
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| author | Hussain, Omar Dong, Hai Singh, Jaipal |
| author2 | Robert Meersman |
| author_facet | Robert Meersman Hussain, Omar Dong, Hai Singh, Jaipal |
| author_sort | Hussain, Omar |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Cloud computing has enabled users to access various resources and applications as a service and in return pay the provider only for the time for which they are used. Service Level Agreements (SLA) are formed between the user and provider to ensure that the required services and applications are delivered as expected. With the increase of public cloud providers, challenges such as availability, reliability, security, privacy and transactional risk demand detail assessment while forming SLAs. This paper focuses on one sub-category of transactional risk while forming SLAs; namely performance risk. We argue that performance risk assessment should be done by the user before entering into a SLA with a service provider. We propose to measure performance risk according to the specific context and assessment criteria with the aid of a semantic similarity model for the SLA requirement being negotiated in a cloud computing environment. We show through simulations that the performance risk analysis is more accurate using semantic similarity matching compared with risk analysis without semantic similarity matching. |
| first_indexed | 2025-11-14T08:09:33Z |
| format | Book Chapter |
| id | curtin-20.500.11937-28292 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:09:33Z |
| publishDate | 2010 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-282922023-01-13T07:56:32Z Semantic Similarity Model for Risk Assessment in Forming Cloud Computing SLAs Hussain, Omar Dong, Hai Singh, Jaipal Robert Meersman Tharam Dillon Pilar Herrero Context Assessment Criteria Cloud Computing Semantic Similarity Model Service Level Agreement Performance Risk Cloud computing has enabled users to access various resources and applications as a service and in return pay the provider only for the time for which they are used. Service Level Agreements (SLA) are formed between the user and provider to ensure that the required services and applications are delivered as expected. With the increase of public cloud providers, challenges such as availability, reliability, security, privacy and transactional risk demand detail assessment while forming SLAs. This paper focuses on one sub-category of transactional risk while forming SLAs; namely performance risk. We argue that performance risk assessment should be done by the user before entering into a SLA with a service provider. We propose to measure performance risk according to the specific context and assessment criteria with the aid of a semantic similarity model for the SLA requirement being negotiated in a cloud computing environment. We show through simulations that the performance risk analysis is more accurate using semantic similarity matching compared with risk analysis without semantic similarity matching. 2010 Book Chapter http://hdl.handle.net/20.500.11937/28292 Springer restricted |
| spellingShingle | Context Assessment Criteria Cloud Computing Semantic Similarity Model Service Level Agreement Performance Risk Hussain, Omar Dong, Hai Singh, Jaipal Semantic Similarity Model for Risk Assessment in Forming Cloud Computing SLAs |
| title | Semantic Similarity Model for Risk Assessment in Forming Cloud Computing SLAs |
| title_full | Semantic Similarity Model for Risk Assessment in Forming Cloud Computing SLAs |
| title_fullStr | Semantic Similarity Model for Risk Assessment in Forming Cloud Computing SLAs |
| title_full_unstemmed | Semantic Similarity Model for Risk Assessment in Forming Cloud Computing SLAs |
| title_short | Semantic Similarity Model for Risk Assessment in Forming Cloud Computing SLAs |
| title_sort | semantic similarity model for risk assessment in forming cloud computing slas |
| topic | Context Assessment Criteria Cloud Computing Semantic Similarity Model Service Level Agreement Performance Risk |
| url | http://hdl.handle.net/20.500.11937/28292 |