Cloud service selection: State-of-the-art and future research directions
Cloud technology connects a network of virtualized computers that are dynamically provisioned as computing resources, based on negotiated agreements between service providers and users. It delivers information technology resources in diverse forms of service, and the explosion of Cloud services on t...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Academic Press
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/36308 |
| _version_ | 1848754732806438912 |
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| author | Sun, L. Dong, Hai Hussain, F. Hussain, O. Chang, E. |
| author_facet | Sun, L. Dong, Hai Hussain, F. Hussain, O. Chang, E. |
| author_sort | Sun, L. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Cloud technology connects a network of virtualized computers that are dynamically provisioned as computing resources, based on negotiated agreements between service providers and users. It delivers information technology resources in diverse forms of service, and the explosion of Cloud services on the Internet brings new challenges in Cloud service discovery and selection. To address these challenges, a range of studies has been carried out to develop advanced techniques that will assist service users to choose appropriate services. In this paper, we survey state-of-the-art Cloud service selection approaches, which are analyzed from the following five perspectives: decision-making techniques; data representation models; parameters and characteristics of Cloud services; contexts, purposes. After comparing and summarizing the reviewed approaches from these five perspectives, we identify the primary research issues in contemporary Cloud service selection. This survey is expected to bring benefits to both researchers and business agents. © 2014 Elsevier Ltd. |
| first_indexed | 2025-11-14T08:45:05Z |
| format | Journal Article |
| id | curtin-20.500.11937-36308 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:45:05Z |
| publishDate | 2014 |
| publisher | Academic Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-363082017-09-13T15:24:46Z Cloud service selection: State-of-the-art and future research directions Sun, L. Dong, Hai Hussain, F. Hussain, O. Chang, E. Cloud technology connects a network of virtualized computers that are dynamically provisioned as computing resources, based on negotiated agreements between service providers and users. It delivers information technology resources in diverse forms of service, and the explosion of Cloud services on the Internet brings new challenges in Cloud service discovery and selection. To address these challenges, a range of studies has been carried out to develop advanced techniques that will assist service users to choose appropriate services. In this paper, we survey state-of-the-art Cloud service selection approaches, which are analyzed from the following five perspectives: decision-making techniques; data representation models; parameters and characteristics of Cloud services; contexts, purposes. After comparing and summarizing the reviewed approaches from these five perspectives, we identify the primary research issues in contemporary Cloud service selection. This survey is expected to bring benefits to both researchers and business agents. © 2014 Elsevier Ltd. 2014 Journal Article http://hdl.handle.net/20.500.11937/36308 10.1016/j.jnca.2014.07.019 Academic Press restricted |
| spellingShingle | Sun, L. Dong, Hai Hussain, F. Hussain, O. Chang, E. Cloud service selection: State-of-the-art and future research directions |
| title | Cloud service selection: State-of-the-art and future research directions |
| title_full | Cloud service selection: State-of-the-art and future research directions |
| title_fullStr | Cloud service selection: State-of-the-art and future research directions |
| title_full_unstemmed | Cloud service selection: State-of-the-art and future research directions |
| title_short | Cloud service selection: State-of-the-art and future research directions |
| title_sort | cloud service selection: state-of-the-art and future research directions |
| url | http://hdl.handle.net/20.500.11937/36308 |