SIST: A Similarity Index for Storage Traffic
Lu Pang, Krishna Kant, Jie Wu · 2022
In this paper, we address the characterization of similarity between two storage traces and define a three-part measure called SIST (Similarity Index for Storage Traffic). Such a measure is essential for identifying traces that are most appropriate for storage system evaluations. We compare SIST against several other similarity measures in the literature on both the object storage and block storage systems, and show the superiority of SIST in terms of its behavior for known perturbations.