Improving reliability of cloud-based applications

Tran, HT; Feuerlicht, G

Improving reliability of cloud-based applications

Tran, HT

Feuerlicht, G

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, 9846 LNCS pp. 235 - 247
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Tran, HT https://orcid.org/0000-0002-6883-9553	en_US
dc.contributor.author	Feuerlicht, G	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, 9846 LNCS pp. 235 - 247	en_US
dc.identifier.isbn	9783319444819	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/98495
dc.description.abstract	© IFIP International Federation for Information Processing 2016. With the increasing availability of various types of cloud services many organizations are becoming reliant on providers of cloud services to maintain the operation of their enterprise applications. Different types of reliability strategies designed to improve the availability of cloud services have been proposed and implemented. In this paper we have estimated the theoretical improvements in service availability that can be achieved using the Retry Fault Tolerance, Recovery Block Fault Tolerance and Dynamic Sequential Fault Tolerance strategies, and we have compared these estimates to experimentally obtained results. The experimental results obtained using our prototype Service Consumer Framework are consistent with the theoretical predictions, and indicate significant improvements in service availability when compared to invoking cloud services directly.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-319-44482-6_15	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Improving reliability of cloud-based applications	en_US
dc.type	Conference Proceeding
utslib.citation.volume	9846 LNCS	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	080309 Software Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	9846 LNCS	en_US

Abstract:

© IFIP International Federation for Information Processing 2016. With the increasing availability of various types of cloud services many organizations are becoming reliant on providers of cloud services to maintain the operation of their enterprise applications. Different types of reliability strategies designed to improve the availability of cloud services have been proposed and implemented. In this paper we have estimated the theoretical improvements in service availability that can be achieved using the Retry Fault Tolerance, Recovery Block Fault Tolerance and Dynamic Sequential Fault Tolerance strategies, and we have compared these estimates to experimentally obtained results. The experimental results obtained using our prototype Service Consumer Framework are consistent with the theoretical predictions, and indicate significant improvements in service availability when compared to invoking cloud services directly.

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http://hdl.handle.net/10453/98495