Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/24323
Title: Investigating the Performance of ASYCUDA System Based on RMI and REST Technology
Other Titles: التحقق من آداء نظام الاسيكودا بناءاً على تقنيتي "RMI" و "REST"
Authors: Ahmed, Mohammed Ashraf Ibrahim
Supervisor, - Nisreen Beshir Osman
Keywords: Computer Science
RMI and REST Technology
Performance of ASYCUDA
Issue Date: 10-Dec-2018
Publisher: Sudan University of Science and Technology
Citation: Ahmed, Mohammed Ashraf Ibrahim . Investigating the Performance of ASYCUDA System Based on RMI and REST Technology / Mohammed Ashraf Ibrahim Ahmed ; Nisreen Beshir Osman .- Khartoum:Sudan University of Science & Technology,College of Computer Science and Information Technology,2018.-41p.:ill.;28cm.-M.Sc
Abstract: Sudan Customs uses “ASYCUDA” [2] software for customs clearance, it follows the architecture of n-tier, the application is split into three separate units in a make server and the user's PC share their messages through the web by using RMI technology, this leading the investigate on how can we enhance the current Sudan Customs System “ASYCUDA” performance through reduce it’s time response by using a new framework different to RMI. Related works shows that a REST Json based web service could be the best alternative choice for RMI replacement, it indicates that REST Json-base web service are more faster because of that, this research investigate exactly on time response comparison between RMI which represents the current framework that ASYCUDA based on it, two experimental models were designed, the first model represents the use of RMI technology and the second model represents the use of REST JSON based web service technology. Models consist of two parts, server application and client application. Results of those two models showed that RMI still better than REST in time response. We searched again for scientific justification; we explained it at the end of this research.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/24323
Appears in Collections:Masters Dissertations : Computer Science and Information Technology

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