Evaluation and selection of active queue management methods based on integrated ahp, topsis and fuzzy topsis
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Date
2019
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UMT.Lahore
Abstract
The Evaluation and selection of Active Queue Management (AQM) methods is complicated and challenging task. Improper AQM method can cause up-mark and network malfunctioning. To achieve satisfactory performance, various evaluation criteria need to be considered. In order to find the limitations of how the criteria are determined, there is a need to find out how their procedures change according to evaluation and benchmarking process of AQM. This thesis focuses on evaluation and benchmarking of Active Queue Management methods using Multi Criteria Decision Making (MCDM) techniques. MCDM uses different techniques to figure out best alternative from multi criteria and multi alternative conditions. Analytic Hierarchy Process (AHP) is multi criteria decision making technique that is used to assign weights to criteria. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used for ranking and selection of different alternatives by using distance measures. Whereas, FUZZY TOPSIS is used for criteria weightage and alternatives rating. MCDM calculation is performed on AQM methods and it is tried to discuss all these techniques. MCDM uses performance, overhead and configuration criteria to evaluate and select best AQM method that helps to determine solutions for future directions. The results show that Random Early Detection (RED) method got higher ranking score records as compared to other AQM methods.
Keywords: Active Queue Management; Multi-Criteria Decision Making; AQM evaluation and benchmarking.