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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bosse, S. Splieth, M. Turowski, K. |
| Copyright Year | 2015 |
| Description | Author affiliation: Fac. of Comput. Sci., Otto von Guericke Univ., Magdeburg, Germany (Bosse, S.; Splieth, M.; Turowski, K.) |
| Abstract | Meeting the availability service level objective while minimizing the costs of the IT service provision is a major challenge for IT service designers. In order to optimize component choices and redundancy mechanisms, the redundancy allocation problem (RAP) was defined. RAP solution algorithms support decision makers with (sub)optimal design configurations that trade-off availability and costs. However, the existing RAP definitions are not suitable for IT service design since they do not include inter-component dependencies such as common mode failures. Therefore, a RAP definition is provided in this paper in which the characteristics of modern IT systems such as standby mechanisms, performance degradation and generic dependencies are integrated. The RAP definition and an adapted genetic algorithm are applied to optimize the costs of an excerpt of an application service provider's IT system landscape. The results demonstrate that the developed approach is applicable and suitable to minimize IT service costs while fulfilling the availability guarantees that are documented in service level agreements. |
| Starting Page | 20 |
| Ending Page | 29 |
| File Size | 227541 |
| Page Count | 10 |
| File Format | |
| e-ISBN | 9781467365901 |
| DOI | 10.1109/ARES.2015.11 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-24 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computational modeling Redundancy Sociology Estimation IT Service Management Availability Management Redundancy Allocation Problem Statistics Optimization Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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