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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Karim, R. Chen Ding Miri, A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci., Ryerson Univ., Toronto, ON, Canada (Karim, R.; Chen Ding; Miri, A.) |
| Abstract | In order to select and rank the best services in a cloud computing environment, the end-to-end quality of service (QoS) values of cloud services have to be computed. For a new SaaS provider, the deployment of its software application in the cloud is a challenging job. It has to find a hosting service (IaaS) that hosts its service. The primary goal of the SaaS provider is to make its service at the top of the ranked list of cloud services returned to end users through satisfying their QoS requirements. In this paper, we propose a mechanism to map the users' QoS requirements of cloud services to the right QoS specifications of SaaS then map them to best IaaS service that offers the optimal QoS guarantees. Then together SaaS and IaaS services can provide the best service offer to end users. As a result of the mapping, the end-to-end QoS values can be calculated. We propose a set of rules to perform the mapping process. We hierarchically model the QoS specifications of cloud services using the Analytic Hierarchy Process (AHP) method. The AHP based model helps to facilitate the mapping process across the cloud layers, and to rank the candidate cloud services for end users. We use a case study to illustrate and validate our solution approach. |
| Starting Page | 341 |
| Ending Page | 348 |
| File Size | 212592 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9780769550244 |
| DOI | 10.1109/SERVICES.2013.71 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Measurement Cloud computing SaaS; IaaS; QoS mapping; QoS-based web Service Selection; Cloud Computing; Analytic Hierarchy Process Software as a service Quality of service Reliability Security Usability |
| Content Type | Text |
| Resource Type | Article |
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