Tracing multimedia benchmarks with five degrees of validation

In this paper we have extended our methodology, presented earlier in [1], for generating and validating representative traces. Our novel technique was applied to a relatively realistic and difficult multimedia benchmark suite called MediaMark. We have also introduced a new metric called the K-metric ( K halid - metric) that was used for validation. The aim of our present research was to demonstrate that the proposed methodology can be successful even for complex and challenging benchmarks like multimedia benchmarks. Earlier our methodology was shown to be the most successful one as compared to the popular contemporary techniques for tracing relatively simple and primitive suite of applications contained within SPEC™95 benchmark suite [1]. Experimental results in this article demonstrate that our methodology works in the worst case scenarios.