Data driven business rule generation based on fog computing

Zhang, Y; Cai, H; Xu, B; Vasilakos, AT; Huang, C

Data driven business rule generation based on fog computing

Zhang, Y Cai, H Xu, B Vasilakos, AT Huang, C

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Future Generation Computer Systems, 2018, 89, pp. 494-505
Issue Date:: 2018-12-01

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Field	Value	Language
dc.contributor.author	Zhang, Y
dc.contributor.author	Cai, H
dc.contributor.author	Xu, B
dc.contributor.author	Vasilakos, AT
dc.contributor.author	Huang, C
dc.date.accessioned	2022-08-29T20:05:11Z
dc.date.available	2022-08-29T20:05:11Z
dc.date.issued	2018-12-01
dc.identifier.citation	Future Generation Computer Systems, 2018, 89, pp. 494-505
dc.identifier.issn	0167-739X
dc.identifier.issn	1872-7115
dc.identifier.uri	http://hdl.handle.net/10453/161050
dc.description.abstract	With the rapid development of information technology, the growing number of software products lead to the high demand for software testing, which brings greater pressure and challenge to the software tester. At the same time, huge volumes of test case data which have been accumulated in enterprise information system are not completely used. In order to make full use of these historical test cases, the following three problems need to be solved: (1) data heterogeneity exists in test cases, (2) data fragmentation for certain function module, (3) network bandwidth pressure. A framework is purposed, which contains five models and a fog computing architecture with multi-layer fusion technology. Standard models are purposed to standardize test cases. The multilevel fusion method are used to deal with scattered data. And using fog computing method can reduce the pressure of server computing and network bandwidth. A test case system is developed to verify the effectiveness of our architecture. The result shows that our system can reduce bandwidth and latency, and help case testers write test cases as well.
dc.language	English
dc.publisher	ELSEVIER
dc.relation.ispartof	Future Generation Computer Systems
dc.relation.isbasedon	10.1016/j.future.2018.07.003
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0803 Computer Software, 0805 Distributed Computing, 0806 Information Systems
dc.subject.classification	Distributed Computing
dc.title	Data driven business rule generation based on fog computing
dc.type	Journal Article
utslib.citation.volume	89
utslib.for	0803 Computer Software
utslib.for	0805 Distributed Computing
utslib.for	0806 Information Systems
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/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-29T20:05:09Z
pubs.publication-status	Published
pubs.volume	89

Abstract:

With the rapid development of information technology, the growing number of software products lead to the high demand for software testing, which brings greater pressure and challenge to the software tester. At the same time, huge volumes of test case data which have been accumulated in enterprise information system are not completely used. In order to make full use of these historical test cases, the following three problems need to be solved: (1) data heterogeneity exists in test cases, (2) data fragmentation for certain function module, (3) network bandwidth pressure. A framework is purposed, which contains five models and a fog computing architecture with multi-layer fusion technology. Standard models are purposed to standardize test cases. The multilevel fusion method are used to deal with scattered data. And using fog computing method can reduce the pressure of server computing and network bandwidth. A test case system is developed to verify the effectiveness of our architecture. The result shows that our system can reduce bandwidth and latency, and help case testers write test cases as well.

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http://hdl.handle.net/10453/161050