{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T05:53:51Z","timestamp":1668146031666},"reference-count":26,"publisher":"World Scientific Pub Co Pte Ltd","issue":"07","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Soft. Eng. Knowl. Eng."],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p>The deployment change of SaaS (Software as a Service) software will influence its response time, which is an important performance metric. Therefore, studying the impact of deployment change on the response time of SaaS software could contribute to performance improvement of the software. However, there are few performance analysis methods which can directly analyze the relationship between deployment change and response time of SaaS software. In this paper, we propose an approach which provides the impact analysis of specific deployment change operations on response time of SaaS software explicitly. Specifically, we present an evaluation method for the response time of SaaS software in specific deployment scheme by leveraging queueing theory. With mathematical derivation based on the proposed evaluation method, we qualitatively analyze the variation trend of response time with respect to deployment change. Furthermore, we study the relationship between two specific types of deployment change operations and response time variation of SaaS software, which is used to propose a response time improvement method based on deployment change. Finally, the effectiveness of the analysis conclusions and the proposed method in this paper is validated by practical cases, which indicates that adjusting deployment scheme according to the conclusions obtained in this paper can be helpful in improving the response time of SaaS software.<\/jats:p>","DOI":"10.1142\/s0218194020500266","type":"journal-article","created":{"date-parts":[[2020,8,27]],"date-time":"2020-08-27T10:05:44Z","timestamp":1598522744000},"page":"977-1004","source":"Crossref","is-referenced-by-count":1,"title":["Impact Analysis About Response Time Considering Deployment Change of SaaS Software"],"prefix":"10.1142","volume":"30","author":[{"given":"Bo","family":"Dong","sequence":"first","affiliation":[{"name":"School of Computer Science, Wuhan University, Wuhan, Hubei 430072, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shi","family":"Ying","sequence":"additional","affiliation":[{"name":"School of Computer Science, Wuhan University, Wuhan, Hubei 430072, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, Wuhan University, Wuhan, Hubei 430072, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Luo","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Technology, School of Science, RMIT University, Melbourne, VIC 3000, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhe","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Wuhan University, Wuhan, Hubei 430072, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2020,8,26]]},"reference":[{"key":"S0218194020500266BIB001","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-013-5050-z"},{"key":"S0218194020500266BIB002","doi-asserted-by":"publisher","DOI":"10.1007\/s10922-014-9307-7"},{"key":"S0218194020500266BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2017.06.123"},{"key":"S0218194020500266BIB005","volume-title":"Stochastic Petri Net and System Performance Evaluation","author":"Lin C.","year":"2005","edition":"2"},{"key":"S0218194020500266BIB006","doi-asserted-by":"publisher","DOI":"10.3724\/SP.J.1016.2011.02435"},{"key":"S0218194020500266BIB007","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2006.69"},{"key":"S0218194020500266BIB008","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-3975(00)00305-4"},{"key":"S0218194020500266BIB009","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-8176-8421-1"},{"key":"S0218194020500266BIB010","volume-title":"Performance Evaluation of Computer Networks and Computer Systems","author":"Lin C.","year":"2001","edition":"1"},{"key":"S0218194020500266BIB011","series-title":"LNCS","first-page":"37","volume-title":"FMICS 2008: Formal Methods for Industrial Critical Systems","volume":"5596","author":"Pel\u00e1nek R.","year":"2008"},{"key":"S0218194020500266BIB012","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-014-1177-y"},{"key":"S0218194020500266BIB013","doi-asserted-by":"publisher","DOI":"10.1109\/ICPP.2011.17"},{"key":"S0218194020500266BIB014","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13621-4"},{"key":"S0218194020500266BIB015","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9781139226424","volume-title":"Performance Modeling and Design of Computer Systems: Queueing Theory in Action","author":"Harchol-Balter M.","year":"2013"},{"key":"S0218194020500266BIB016","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2012.10.929"},{"key":"S0218194020500266BIB017","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772739"},{"key":"S0218194020500266BIB018","doi-asserted-by":"publisher","DOI":"10.1002\/spe.1032"},{"key":"S0218194020500266BIB019","volume-title":"Performance by Design: Computer Capacity Planning by Example","author":"Menasce D. 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