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Optimization Based Multimedia Performance to Enhance Blended Learning Experience in Constrained Low Bandwidth Environment

机译：基于优化的多媒体性能可在受限的低带宽环境中增强混合学习体验

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摘要

The efficient transmission of multimedia applications and time sensiti-tive applications in particular, over the heterogeneous networks is a challenging research problem that requires investigation. This paper focuses on an experimental testbed designed to verify the theoretical concept; performance of multimedia content can be improved by optimizing both network and application. User-driven parameter 'latency' was used to achieve the objective, during transmission of multimedia files (video, audio, graphics, and text) over a wireless network. Results indicated that latency factor was reduced significantly, when optimization technique was applied on both network and multimedia content as compared to applying on each component individually. This work falls within the scope of "Optimization Technique for Implementation of Blended Learning in Constrained Low Bandwidth Environment" [1].
机译：多媒体应用尤其是时间敏感应用在异类网络上的有效传输是一个充满挑战的研究问题，需要进行研究。本文关注于旨在验证理论概念的实验性试验台。通过同时优化网络和应用，可以提高多媒体内容的性能。在无线网络上传输多媒体文件（视频，音频，图形和文本）期间，使用用户驱动的参数“延迟”来实现该目标。结果表明，与分别应用于每个组件的优化技术相比，将优化技术应用于网络和多媒体内容时，延迟因子显着降低。这项工作属于“在受限的低带宽环境中实现混合学习的优化技术”的范围[1]。

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