Cloud Service Selection Using Multicriteria Decision Analysis
Cloud computing (CC) has recently been receiving tremendous attention from the IT industry and academic researchers. CC leverages its unique services to cloud customers in a pay-as-you-go, anytime, anywhere manner. Cloud services provide dynamically scalable services through the Internet on demand....
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/459375 |
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| _version_ | 1832561715668058112 |
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| author | Md Whaiduzzaman Abdullah Gani Nor Badrul Anuar Muhammad Shiraz Mohammad Nazmul Haque Israat Tanzeena Haque |
| author_facet | Md Whaiduzzaman Abdullah Gani Nor Badrul Anuar Muhammad Shiraz Mohammad Nazmul Haque Israat Tanzeena Haque |
| author_sort | Md Whaiduzzaman |
| collection | DOAJ |
| description | Cloud computing (CC) has recently been receiving tremendous attention from the IT industry and academic researchers. CC leverages its unique services to cloud customers in a pay-as-you-go, anytime, anywhere manner. Cloud services provide dynamically scalable services through the Internet on demand. Therefore, service provisioning plays a key role in CC. The cloud customer must be able to select appropriate services according to his or her needs. Several approaches have been proposed to solve the service selection problem, including multicriteria decision analysis (MCDA). MCDA enables the user to choose from among a number of available choices. In this paper, we analyze the application of MCDA to service selection in CC. We identify and synthesize several MCDA techniques and provide a comprehensive analysis of this technology for general readers. In addition, we present a taxonomy derived from a survey of the current literature. Finally, we highlight several state-of-the-art practical aspects of MCDA implementation in cloud computing service selection. The contributions of this study are four-fold: (a) focusing on the state-of-the-art MCDA techniques, (b) highlighting the comparative analysis and suitability of several MCDA methods, (c) presenting a taxonomy through extensive literature review, and (d) analyzing and summarizing the cloud computing service selections in different scenarios. |
| format | Article |
| id | doaj-art-876f2ffc64c54816a0316551b531bcd5 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-876f2ffc64c54816a0316551b531bcd52025-02-03T01:24:23ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/459375459375Cloud Service Selection Using Multicriteria Decision AnalysisMd Whaiduzzaman0Abdullah Gani1Nor Badrul Anuar2Muhammad Shiraz3Mohammad Nazmul Haque4Israat Tanzeena Haque5Faculty of Computer Science & Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaFaculty of Computer Science & Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaFaculty of Computer Science & Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaFaculty of Computer Science & Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaSchool of Electrical Engineering and Computer Science, The University of Newcastle, Callaghan, NSW 2308, AustraliaDepartment of Computing Science, University of Alberta, Edmonton, AB, P6G 2M7, CanadaCloud computing (CC) has recently been receiving tremendous attention from the IT industry and academic researchers. CC leverages its unique services to cloud customers in a pay-as-you-go, anytime, anywhere manner. Cloud services provide dynamically scalable services through the Internet on demand. Therefore, service provisioning plays a key role in CC. The cloud customer must be able to select appropriate services according to his or her needs. Several approaches have been proposed to solve the service selection problem, including multicriteria decision analysis (MCDA). MCDA enables the user to choose from among a number of available choices. In this paper, we analyze the application of MCDA to service selection in CC. We identify and synthesize several MCDA techniques and provide a comprehensive analysis of this technology for general readers. In addition, we present a taxonomy derived from a survey of the current literature. Finally, we highlight several state-of-the-art practical aspects of MCDA implementation in cloud computing service selection. The contributions of this study are four-fold: (a) focusing on the state-of-the-art MCDA techniques, (b) highlighting the comparative analysis and suitability of several MCDA methods, (c) presenting a taxonomy through extensive literature review, and (d) analyzing and summarizing the cloud computing service selections in different scenarios.http://dx.doi.org/10.1155/2014/459375 |
| spellingShingle | Md Whaiduzzaman Abdullah Gani Nor Badrul Anuar Muhammad Shiraz Mohammad Nazmul Haque Israat Tanzeena Haque Cloud Service Selection Using Multicriteria Decision Analysis The Scientific World Journal |
| title | Cloud Service Selection Using Multicriteria Decision Analysis |
| title_full | Cloud Service Selection Using Multicriteria Decision Analysis |
| title_fullStr | Cloud Service Selection Using Multicriteria Decision Analysis |
| title_full_unstemmed | Cloud Service Selection Using Multicriteria Decision Analysis |
| title_short | Cloud Service Selection Using Multicriteria Decision Analysis |
| title_sort | cloud service selection using multicriteria decision analysis |
| url | http://dx.doi.org/10.1155/2014/459375 |
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