Aziz, Saiful and Soetomo, Moh. A. Amin and Lim, Charles (2021) Towards Data Center Operational Resiliency by Evaluating Existing Operation and Maintenance Program Based on EPI-DCOS. Masters thesis, Swiss German University.

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Abstract

The data center storage capacity from 2015 to 2020 are increased 10 times in the last five years. To meet these rapid growth and customer demand, billions of dollars have been invested on highly redundant data center facility and infrastructure. Up to now, organizations who providing data center services have focused on developing highly resilient facilities with varying levels of redundancy in compliance with standards such as ANSI/TIA-942, ANSI/BICSI-002, UTI-TST and others. Many organizations, however, have realized that without proper operation processes and maintenance plans, availability levels would be severely impacted, eroding the data center facility’s investment. Therefore, regardless of how well the data center facility and infrastructure are planned and built, it can’t withstand the interruption of an insufficient operation and maintenance program. The aim of this thesis is to provide a guideline on how to improve data center operation resiliency by evaluating and analyzing the existing data center operation and maintenance program, perform self-assessment, gap analysis and propose the future recommendation.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Data Center Operation Self-Assessment, Analysis and Evaluation of Data Center Operation, Data Center Operation Standardization
Subjects:	Q Science > QA Mathematics > QA76 Computer software > QA76.585 Cloud computing Q Science > QA Mathematics > QA76 Computer software > > QA76.91 Data mining T Technology > T Technology (General) > T58.5 Information technology
Divisions:	Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User:	Faisal Ifzaldi
Date Deposited:	06 Jan 2022 08:07
Last Modified:	06 Jan 2022 08:07
URI:	http://repository.sgu.ac.id/id/eprint/2301

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