Data center maintenance: applications and future research directions

Abstract

Purpose One of the most critical infrastructures is a data center (DC) because of it having many servers, computers and other equipment. DCs provide online services for various companies in the information technology (IT) industry. DC facilities should provide reliable online services while addressing the required quality and performance level considering maximum reliability and availability. The purpose of this study is to represent and classify the main findings in this area and to identify the main research gaps and shortcomings from the perspective of research. Design/methodology/approach This paper provides an organized and systematic literature review focusing on topics regarding the operation and maintenance (O&M) management of DCs. Findings Although there are several studies on O&M management systems for industrial systems and facilities, a limited number of studies with few methods and models have focused on DCs so far and these facilities require more attention. This paper identifies the issues and challenges for DC buildings and facilities and provides a conclusion of the findings to highlight the main research limitations for discovering new potential methods as future research opportunities. Research limitations/implications The paper has highlighted the main practical issues of DCs in terms of maintenance management. Several research works have been discussed specifically for DC’s maintenance, which makes this paper a credible source for researchers, maintenance managers and companies involved in the area of DC. Because several of the reviewed literature were based on real case studies, decision-makers in the DC maintenance sector can take advantage of new research on maintenance scheduling to reduce the costs of maintenance. Originality/value The paper has presented a comprehensive list of frequent keywords in recent publications related to O&M management for DCs. It has provided a categorized list of publications based on by their topic, methodology and case study. Because this paper has discussed research works specifically for DC’s maintenance, it is a credible source for researchers, maintenance managers and companies involved in the area of DCs.

Identifying Required Data for Power Generation O&M Investment Plan Decision Making

“…In the field of Generation Planning, a gradual transition from the 'Bottom Up' strategy (based on what is easily feasible) to the 'Top Down' approach is required (based on the desired level of performance) (The World Bank, 2009). Abadi et al (2020) have classified the main studies in O&M management and used surveys to describe their findings and to represent future research opportunities in this field. Their study revealed the most frequently used terms in articles on O&M management in the Engineering Village -Elsevier database.…”

IoT Sensor Data Analysis and Fusion

“…A self-healing data center is a data center that is capable of autonomously detecting potential component/module/hardware/software failures before they occur and adjust its configuration in order to achieve optimal function at all times [6]. The concept of detecting malfunctions and data center failures before they happen is called condition-based maintenance (CBM) or predictive maintenance (PdM) [7]. The approach requires a combination of historical, simulation, real-time information, expert heuristics, Fig.…”