Performance Evaluation Model of Thin Client Technology For Latency Sensitive Applications In Higher Institutions Of Learning

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Date
2023-11
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Kampala International University
Abstract
Thin-client technology gained popularity in higher institutions of learning due to its costeffectiveness, scalability, and ease of management. However, it faces significant performance challenges, particularly in latency-sensitive applications such as streaming multimedia, motion graphics, and animations. This study, conducted at KIU, aimed to address these issues by designing a performance evaluation model of thin-client technologies for latency sensitive applications. The research objectives included identifying factors influencing thin-client performance, evaluating thin-client performance at KIU, and designing an efficient model for implementation.A controlled experiment procedure was conducted basing on ISO and IEEE standards. Exact measurements were collected and recorded in continuous numerals and a statistical analysis was done. Also, subjective test with questionnaire were employed and quantitative data collected for the same. The developed model, based on a 100MBS switch and CAT5 network media, revealed a logarithmic relationship between the number of clients and system latency. Initially, latency increases slowly as clients are added, but this escalation becomes more pronounced beyond a certain threshold of approximately five clients. This finding highlights the importance of optimizing network capacity and resources to minimize latency and enhance system performance. This study provided valuable insights for institutions like KIU to enhance the performance of thin-client technologies in latency-sensitive applications, ultimately benefiting both teaching and student activities.
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A dissertation submitted to the directorate of higher degrees and research (dhdr) in partial fulfillment of the requirements for the award of a master of science in information technology of kampala international university.
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