Wiboonrat, Montri
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Item type:Publication, Human Factors Psychology of Data Center Operations and Maintenance(2020-03-01)The human factor psychology are phenomenally adjust at identifying biases, errors, failures, defects, and deficiencies in how other people in the team think. The Institute Abnormal Incident Reports (AIRs) database reveals that approximately 70 percent of the reported data center outages are directly involved with human error. This paper has been investigated on 2 case studies, the case of data center failure of British Airways in May 2017, and data center assessment of two commercial banks in Bangkok Thailand. Data center outage according to operations and maintenance had been investigated subject to human factors much related to data center outages rather than systems failure. This paper proposes a personal certificated standard, an umbrella team structure, and data center infrastructure management (DCIM) to eliminate human error from data center operations and maintenance. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Condition Based Maintenance for Data Center Operations Management(2019-07-01)Power distribution system (PDS) of data center has designed for high reliability and fault tolerance by deploying a redundant topology. Optimal data center reliability requires 4 principals which consist of topology design by standard; reliable components or mean time between failures (MTBF); real-Time monitoring by data center infrastructure management (DCIM); and preventive maintenance through data center operations. However, data center needs more proper operations and maintenance approach to avoid planned and unplanned downtime. The best practice for data center operations management should be applied predictive maintenance or condition-based maintenance (CBM) to monitoring of critical components and systems. These processes will ensure that the system parameters will perform on their functions, and estimate remaining useful life of components for critical mission. Time-based maintenance (TBM) (preventive maintenance) has been applies for supplementary PDS components that define as not mission critical systems. This research proposes a model of preventive and predictive maintenance (PPM) for PDS of data center, which has been verified to improve maintenance efficiency and reduce operating costs of repair time and inventory. How to identify potential problems in early state before component and system failures are the key to prevent planed and unplanned downtime. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Energy Management in Data Centers from Design to Operations and Maintenance(2020-10-20)Data centers are the information factories of the digital evolution. Creating, storing, processing, distributing, and analyzing data all need energy. Therefore, data center industry consumes energy more than 2 percent of the global electricity consumption. Energy efficiency need to discuss at the outset of data center design. The root cause of oversizing data center design is the research question because this will affect investment or CAPEX and long-term operating costs or OPEX of data center as long as data center life cycle (DCLC). Data center measurement in power usage effectiveness (PUE) unit helps data center owners and consultants realized on relationship between oversizing data center design and total cost of ownership (TCO). The research results propose modular data center as a solution to handle uncertainty demand of IT equipment, scalability for growth as your need, flexibility in any size of infrastructure, fast deployment because of prefabricated design, and more efficiency by applying energy management platform called data center infrastructure management (DCIM).