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The key contributions of this work are the substitution of each sub-model by a single M\/G\/8 station and the automation of the decomposition process using model transformation techniques. The main conclusion is that the reduction approach provides exact results for the global mean number of clients and mean residence time at the whole network.<\/jats:p>","DOI":"10.4018\/jitr.2017040101","type":"journal-article","created":{"date-parts":[[2017,3,8]],"date-time":"2017-03-08T11:17:06Z","timestamp":1488971826000},"page":"1-18","source":"Crossref","is-referenced-by-count":2,"title":["A Model Driven Engineering Approach to Reduce Large Queueing Networks"],"prefix":"10.4018","volume":"10","author":[{"given":"Ahlem","family":"Nasri","sequence":"first","affiliation":[{"name":"RELA(CS)2 Laboratory, University of Oum El Bouaghi, Oum El Bouaghi, Algeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdelhabib","family":"Bourouis","sequence":"additional","affiliation":[{"name":"RELA(CS)2 Laboratory, University of Oum El Bouaghi, Oum El Bouaghi, Algeria"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"JITR.2017040101-0","doi-asserted-by":"crossref","unstructured":"Bard, Y. 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