Enhanced model to minimize future downtime : case study of Malaysia cloud providers towards near-zero downtime

In providing tremendous access to data and computing power of thousands of commodity servers, large-scale cloud systems must address a new challenge: they must detect and recover from a growing number of failures, in both hardware and software components. The growing complexity of technology scaling...

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Main Author:	Clement, Clarissa Terry
Format:	Thesis
Language:	English English
Published:	2015
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utem.edu.my/id/eprint/15880/1/ENHANCED%20MODEL%20TO%20MINIMIZE%20FUTURE%20DOWNTIME%20CASE%20STUDY%20OF%20MALAYSIA%20CLOUD%20PROVIDERS%20TOWARDS%20NEAR%20ZERO%20DOWNTIME%20%2824%20pgs%29.pdf http://eprints.utem.edu.my/id/eprint/15880/2/Enhanced%20model%20to%20minimize%20future%20downtime%20%20case%20study%20of%20Malaysia%20cloud%20providers%20towards%20near-zero%20downtime.pdf
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id	my-utem-ep.15880
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Md Salleh, Norhaziah
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Clement, Clarissa Terry Enhanced model to minimize future downtime : case study of Malaysia cloud providers towards near-zero downtime
description	In providing tremendous access to data and computing power of thousands of commodity servers, large-scale cloud systems must address a new challenge: they must detect and recover from a growing number of failures, in both hardware and software components. The growing complexity of technology scaling, manufacturing, design logic, usage, and operating environment increases the occurrence of failures. Unfortunately, downtime handling has proven to be problematic in today’s cloud systems. The downtime recovery path is often complex, under-specified, and tested less frequently than the normal path. As indicated by recent cloud outage incidents, existing large-scale cloud systems are still fragile and error-prone. The purpose of this study to identify the issues causing cloud downtime, to investigate the recovery ability of the database during cloud downtime and to propose enhanced model that can be used to minimize the future downtime.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Clement, Clarissa Terry
author_facet	Clement, Clarissa Terry
author_sort	Clement, Clarissa Terry
title	Enhanced model to minimize future downtime : case study of Malaysia cloud providers towards near-zero downtime
title_short	Enhanced model to minimize future downtime : case study of Malaysia cloud providers towards near-zero downtime
title_full	Enhanced model to minimize future downtime : case study of Malaysia cloud providers towards near-zero downtime
title_fullStr	Enhanced model to minimize future downtime : case study of Malaysia cloud providers towards near-zero downtime
title_full_unstemmed	Enhanced model to minimize future downtime : case study of Malaysia cloud providers towards near-zero downtime
title_sort	enhanced model to minimize future downtime : case study of malaysia cloud providers towards near-zero downtime
granting_institution	Universiti Teknikal Melaka Malaysia
granting_department	Faculty of Information and Communication Technology
publishDate	2015
url	http://eprints.utem.edu.my/id/eprint/15880/1/ENHANCED%20MODEL%20TO%20MINIMIZE%20FUTURE%20DOWNTIME%20CASE%20STUDY%20OF%20MALAYSIA%20CLOUD%20PROVIDERS%20TOWARDS%20NEAR%20ZERO%20DOWNTIME%20%2824%20pgs%29.pdf http://eprints.utem.edu.my/id/eprint/15880/2/Enhanced%20model%20to%20minimize%20future%20downtime%20%20case%20study%20of%20Malaysia%20cloud%20providers%20towards%20near-zero%20downtime.pdf
_version_	1776103096287494144
spelling	my-utem-ep.158802023-05-26T10:04:24Z Enhanced model to minimize future downtime : case study of Malaysia cloud providers towards near-zero downtime 2015 Clement, Clarissa Terry TK Electrical engineering. Electronics Nuclear engineering In providing tremendous access to data and computing power of thousands of commodity servers, large-scale cloud systems must address a new challenge: they must detect and recover from a growing number of failures, in both hardware and software components. The growing complexity of technology scaling, manufacturing, design logic, usage, and operating environment increases the occurrence of failures. Unfortunately, downtime handling has proven to be problematic in today’s cloud systems. The downtime recovery path is often complex, under-specified, and tested less frequently than the normal path. As indicated by recent cloud outage incidents, existing large-scale cloud systems are still fragile and error-prone. The purpose of this study to identify the issues causing cloud downtime, to investigate the recovery ability of the database during cloud downtime and to propose enhanced model that can be used to minimize the future downtime. 2015 Thesis http://eprints.utem.edu.my/id/eprint/15880/ http://eprints.utem.edu.my/id/eprint/15880/1/ENHANCED%20MODEL%20TO%20MINIMIZE%20FUTURE%20DOWNTIME%20CASE%20STUDY%20OF%20MALAYSIA%20CLOUD%20PROVIDERS%20TOWARDS%20NEAR%20ZERO%20DOWNTIME%20%2824%20pgs%29.pdf text en public http://eprints.utem.edu.my/id/eprint/15880/2/Enhanced%20model%20to%20minimize%20future%20downtime%20%20case%20study%20of%20Malaysia%20cloud%20providers%20towards%20near-zero%20downtime.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=96208 mphil masters Universiti Teknikal Melaka Malaysia Faculty of Information and Communication Technology Md Salleh, Norhaziah 1. Kumar, “Malaysian cloud investment could touch US$900m by 2020,” 2013. [Online]. 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ACM SIGPLAN Notices, 46(7), p.111. 28. Wang, G. & Ng, T.S.E., INFOCOM10-ec2-The impact of virtualization on network performance of Amazon EC2 data center.pdf. 29. Wood, T., 2011. PipeCloud: Using Causality to Overcome Speed-of-Light Delays in Cloud- Based Disaster Recovery. Computing, 40, p.17. Available at: http://dl.acm.org/citation.cfm?id=2038933. 30. Ye, K., Xiaohong Jiang, Dawei Huang, Jianhai Chen & Bei Wang, 2011. Live Migration of Multiple Virtual Machines with Resource Reservation in Cloud Computing Environments. 2011 IEEE 4th International Conference on Cloud Computing, pp.267–274. 31. V. Krishna Reddy, B. Thirumal Rao, Dr. L.S.S. Reddy, P.Sai Kiran “Research Issues in Cloud Computing “Global Journal of Computer Science and Technology, Volume 11, Issue 11, July 2011. 32. W. Guohui, and T. S. E. NG. The Impact of Virtualization on Network Performance of Amazon EC2 Data Center. INFOCOM, 2010 Proceedings IEEE. 33. White Paper, 2013. Database Security in the Cloud. 34. 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Enhanced model to minimize future downtime : case study of Malaysia cloud providers towards near-zero downtime

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