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The main aim of the research work is finding the optimum number of input server connections while minimizing the number of rejected requests according to a specific maximum number of expected calls in a specific time-interval, i.e. at peak-hour. With the results obtained we wish to model and optimize the planning and the dimensioning of the processing server as well as reduce the costs of this, since hiring an input line actually presents quite a substantial cost. Therefore it is necessary to first determine how many input connections are needed to serve a certain quota of users at a specific moment by using the methods of statistical modeling. On the basis of obtained results we can then assess whether a certain segment has too many or not enough input connections. The objective of the presented multiple-input and multiple-output (MIMO) simulator is to raise the level and the quality of service and at the same time lower the costs of hiring input connections. This paper presents the key segments composing the call and server system (ordinary, lamer and dummy caller model, statistical Gaussian curve of calls distribution, mechanisms of accepting and rejecting calls, management of input connections capacity, random call triggering, etc.). The above-mentioned segments represent the models and the sub-models of the simulator. They have been derived using the methods of statistical modeling. The optimum solution can be found manually or automatically using the method of automation of simulation runs and incrementing\/decrementing the parameter of the number of input connections into the system. Searching the optimum number of input connections manually is an entirely empirical method, where the user manually changes the mentioned parameter, and is looking for a scenario in which the result of the simulator regarding the number of rejected calls is minimal. With an automatic search the simulator automatically generates the number of runs with incrementing and decrementing the mentioned parameter in each, and thus automatically finds the optimum solution. This paper also presents an automatic analysis of simulation runs and a statistical final report, which includes a conclusion on the results obtained in different scenarios.<\/jats:p>","DOI":"10.1177\/0037549710392936","type":"journal-article","created":{"date-parts":[[2011,3,1]],"date-time":"2011-03-01T16:28:54Z","timestamp":1298996934000},"page":"423-436","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["MIMO simulator of call server input lines occupancy"],"prefix":"10.1177","volume":"87","author":[{"given":"Sa\u0161a","family":"Klampfer","sequence":"first","affiliation":[{"name":"Margento R&D d.o.o., Maribor, Slovenia,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bojan","family":"Kotnik","sequence":"additional","affiliation":[{"name":"Ultra d.o.o., Zagorje ob Savi, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Janja","family":"Sve\u010dko","sequence":"additional","affiliation":[{"name":"Ultra d.o.o., Zagorje ob Savi, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zdenko","family":"Mezgec","sequence":"additional","affiliation":[{"name":"Margento R&D d.o.o., Maribor, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jo\u017ee","family":"Mohorko","sequence":"additional","affiliation":[{"name":"University of Maribor, Faculty of Electrical Engineering and Computer, Science, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amor","family":"Chowdhury","sequence":"additional","affiliation":[{"name":"Margento R&D d.o.o., Maribor, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2011,2,28]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1029\/WR024i009p01431"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-2607(03)00080-4"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1016\/S0965-8564(98)00033-0"},{"key":"atypb4","doi-asserted-by":"publisher","DOI":"10.1016\/j.trd.2007.10.002"},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-2607(00)00131-0"},{"key":"atypb6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2008.10.003"},{"key":"atypb7","first-page":"223","author":"Klampfer S.","year":"2008","journal-title":"Zbornik radova"},{"key":"atypb8","volume-title":"OPNET Modeler User Guide and Documentation","year":"2010"},{"key":"atypb9","volume-title":"Networks simulation in OPNET Modeler","author":"Klampfer S.","year":"2007"},{"key":"atypb10","volume-title":"Expert system for automatic analysis of tactical radio network properties","author":"Klampfer S.","year":"2009"},{"key":"atypb11","author":"Matja\u017e F.","year":"2010","journal-title":"Simulation Simulation: Transactions of The Society for Modeling and Simulation International"},{"key":"atypb12","volume-title":"OMNeT++ simmulation tool, users manual","year":"2010"},{"issue":"1","key":"atypb13","author":"Lobbers M.","year":"2007","journal-title":"Users Manual"},{"key":"atypb14","volume-title":"Proceedings of the 2nd International Conference on Simulation Tools and Techniques","author":"Minkenberg C."},{"key":"atypb15","volume-title":"Proceedings of the 4th ACM workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks","author":"Colesanti UM"},{"key":"atypb16","volume-title":"Normal distribution function","year":"2010"},{"key":"atypb17","volume-title":"Varieties of Normal Distribution Simulation","author":"David Lane","year":"2010"},{"key":"atypb18","volume-title":"Simulation from specific distributions - especially the normal distribution","author":"Institut for Matematik FAG - Aalborg University","year":"2005"},{"key":"atypb19","volume-title":"Uniform Distribution","author":"Wikipedia","year":"2010"},{"key":"atypb20","volume-title":"Pareto Distribution","author":"James W. 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