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Optimization of Data Center Fault Tolerance Design

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Part of the Service Science: Research and Innovations in the Service Economy book series (SSRI)

Abstract

Balancing costs and quality of offered IT service is a challenging task for data center providers. In the case of availability, fault tolerance can be applied by introducing redundancy mechanisms into the service design. Redundancy allocation problems can be defined as combinatorial optimization problems to identify cost-effective redundancy configurations in which availability objectives are met. However, these approaches should be flexible to trade-off effort and benefit in a specific scenario. Therefore, a redundancy allocation problem is proposed in this chapter that is capable of modeling the specific characteristics of the IT system to be analyzed. In order to identify suitable design configurations, a generic Petri net simulation model is combined with a genetic algorithm. By defining the solution algorithm adaptively to the complexity of the considered problem definition, users are able to reduce modeling as well as computational effort. The suitability of the approach is demonstrated in the use-case of an international application service provider.

Keywords

Availability management Redundancy allocation Fault tolerance Design optimization 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Magdeburg Research and Competence Cluster for Very Large Business Applications, Faculty of Computer ScienceOtto-von-Guericke University MagdeburgMagdeburgGermany

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