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Conference Object Performance Modelling of the Computational Hardware: a Statistical Approach(int Assoc Engineers-iaeng, 2007) Akman, Ibrahim; Yesilcay, YasarThis paper proposes and uses multivariate methods as a tool to evaluate performances of the hardware of microcomputers using their performance data, speed and price. The evaluation is done by classifying the PCs into different categories in terms of their performances. In order to form these categories, the cluster analysis and discriminant analysis methods are used in sequence. The former groups the PCs into "equivalent" classes and the later constructs a function for classification, called discriminant function, based on "equivalent" classes. Elementary statistical mesasures are also associated to extract some descriptive results as a part of the analyses. The performance of proposed method is demonstrated with data from 173 models of different PC brands. The discriminant function obtained is shown to classify PCs according to their performances with high probability of correct classification, namely 94.8%. http://www.iaeng.org/publication/WCE2007/WCE2007_pp936-939.pdfConference Object An Experimental Study for Simulation Based Assessment of Information System Design Performance(int Assoc Engineers-iaeng, 2007) Ayyildiz, Bulent; Akman, Ibrahim; Arifoglu, AliThis paper presents an experimental study for evaluating the decision support value of queueing network (QN) based simulation models for information system design performance. For illustration, queueing network simulation models have been extracted corressponding to three annotated design alternatives of a selected case study. The design alternatives are produced using logical requirements of the selected system. The performance of each alternative is then predicted using quantifiable parameters considering the dynamics of the system such as service time, waiting time and number of entities waiting in the system. In particular, results have shown that the first alternative performs better than the other two in terms of the selected parameters. In general, the case study revealed that QN-based simulation models are capable to distinguish the performance of design alternatives in terms of selected parameters and under given assumptions. This also means that the use of simulation may lead to better designed information systems.
