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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhang, M. Ranjan, R. Haller, A. Georgakopoulos, D. Strazdins, P. |
| Copyright Year | 2012 |
| Description | Author affiliation: Research School of Computer Science, ANU (Strazdins, P.) || Information Engineering Laboratory, CSIRO ICT Centre (Zhang, M.; Ranjan, R.; Haller, A.; Georgakopoulos, D.) |
| Abstract | The compass of Cloud infrastructure services advances steadily leaving users in the agony of choice. To be able to select the best mix of service offering from an abundance of possibilities, users must consider complex dependencies and heterogeneous sets of criteria. Therefore, we present a PhD thesis proposal on investigating an intelligent decision support system for selecting Cloud-based infrastructure services (e.g. storage, network, CPU). The outcomes of this will be decision support tools and techniques, which will automate and map users' specified application requirements to Cloud service configurations. |
| Starting Page | 759 |
| Ending Page | 764 |
| File Size | 676942 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467345118 |
| e-ISBN | 9781467345101 |
| e-ISBN | 9781467345095 |
| DOI | 10.1109/CloudCom.2012.6427501 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-12-03 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cloud computing Conferences Software as a service Semantics Service computing Quality of service Operation research Optimization Genetic algorithms Semantic technology |
| Content Type | Text |
| Resource Type | Article |
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