GENIUS:交互式用户媒体会话的生成器

C. Costa, C. Ramos, I. Cunha, J. Almeida
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引用次数: 10

摘要

生成真实的交互式合成流媒体工作负载对于有效评估替代媒体分发技术具有重要意义。本文填补了先前研究留下的空白,提出了一个层次模型,该模型捕捉了媒体用户行为和工作负载的关键方面,特别是交互性和异质性。它还介绍了GENIUS,这是一个高度灵活和现实的流媒体工作负载生成器,它实现了所提出的模型,并通过对丰富的真实媒体工作负载的广泛表征得出了参数化结果。初步实验表明,我们的生成器准确地捕获了对系统性能有关键影响的工作负载方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GENIUS: a generator of interactive user media sessions
The generation of realistic interactive synthetic streaming media workloads is of great importance for the effective evaluation of alternative media distribution techniques. This paper fills a gap left by previous studies and proposes a hierarchical model that captures key aspects of media user behavior and workloads, in particular, interactivity and heterogeneity. It also introduces GENIUS, a highly flexible and realistic streaming media workload generator that implements the proposed model and is parameterized with results from an extensive characterization of a rich set of real media workloads. Preliminary experiments show that our generator accurately captures workload aspects of key impact to system performance.
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