Preventive maintenance policies for a big data system with throughput rate

Ji Zhang (), Hongshuang Feng () and Xiaohui Chen ()
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Ji Zhang: Chongqing University
Hongshuang Feng: Nanjing University of Aeronautics and Astronautics
Xiaohui Chen: Chongqing University

Annals of Operations Research, 2025, vol. 348, issue 1, No 18, 444 pages

Abstract: Abstract This paper proposes the generalized maintenance policies for a big data system when the system throughput rate is modelled by the decreasing deterministic function. When failures occur, the big data system experiences one of two types of failures: type I failure (minor failure) that can be removed by a minimal repair or type II failure (catastrophic failure) that must be maintained perfectly. We firstly take up the standard maintenance models in which the big data system is maintained preventively at periodic time T or times of completion for data processing N, respectively. Secondly, we consider that the big data system is maintained before failure at periodic time T or times of completion for data processing N, whichever occurs first/last. Furthermore, we compare all of the maintenance models analytically to find which policy should be selected for the big data system under specific conditions. All theoretical discussions in this paper are made analytically, and finally, numerical examples are illustrated.

Keywords: Big data system; Throughput rate; Standard maintenance; Maintenance first; Maintenance last (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10479-023-05284-8

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