Abstract
The Data storage system is an important part of any information system. All the necessary data that must be available for the successful operation of the information system are stored here. Therefore, it is advisable to think about the reliability of such a data storage system. As part of reliability engineering, it is possible to perform a reliability analysis of any system. Therefore, the data storage system can be analyzed as well. As part of the reliability analysis, it is necessary to select the mathematical representation of the analyzed system. One such form is the structure function. A structure function is a mathematical representation of the analyzed system that maps the state of a system based on the state of its components. Main advantage is that the structure function can be used to describe a system of any complexity. However, if we have components of the same type in the system, the survival signature may be used as well. The structure function as well as the survival signature permits the use of multiple mathematical approaches such as logic differential calculus. Logic differential calculus can be used to detect situations where a change in the number of working components affects a change in the state of the system. This is useful in importance analysis, which is a part of the reliability analysis. In this paper, a reliability analysis will be performed for data storage in which multiple types of hard disk drives can be used as well as multiple methods of storing data on multiple disks using redundant array of independent disks.
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Acknowledgements
This work is co-financed by the Polish National Agency for Academic Exchange and by the Slovak Research and Development Agency under the grant “Application of MSS Reliability Analysis for Electrical Low-Voltage Systems” (AMRA, reg. no. SK-PL-21-0003).
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Rusnak, P., Sedlacek, P., Czapp, S. (2023). Reliability Analysis of Data Storage Using Survival Signature and Logic Differential Calculus. In: van Gulijk, C., Zaitseva, E., Kvassay, M. (eds) Reliability Engineering and Computational Intelligence for Complex Systems. Studies in Systems, Decision and Control, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-031-40997-4_2
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