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Abstract:
In contrast to pure video servers, advanced multimedia applications such as
digital libraries or teleteaching exhibit a mixed workload with massive access
to conventional, discrete data such as text documents, images and indexes as
well as requests for continuous data, like video and audio data. In addition to
the service quality guarantees for continuous data requests, quality-conscious
applications require that the response time of the discrete data requests stay
below some user-tolerance threshold. In this paper, we study the impact of
different disk scheduling policies on the service quality for both continuous
and discrete data. We provide a framework for describing various policies in
terms of few parameters, and we develop a novel policy that is experimentally
shown to outperform all other policies.
