Effects of Storage Heterogeneity in Distributed Cache Systems
Kota Srinivas Reddy, Sharayu Moharir, Nikhil Karamchandani

TL;DR
This paper investigates how non-uniform storage capacities in distributed cache systems affect performance, revealing that content popularity profiles significantly influence the impact of storage heterogeneity.
Contribution
It provides an analytical and simulation-based analysis of storage heterogeneity effects, highlighting the role of content popularity profiles in system performance.
Findings
Heterogeneity effects depend on content popularity profiles.
Lopsided popularity profiles are more tolerant to storage heterogeneity.
Simulation results validate the theoretical analysis.
Abstract
In this work, we focus on distributed cache systems with non-uniform storage capacity across caches. We compare the performance of our system with the performance of a system with the same cumulative storage distributed evenly across the caches. We characterize the extent to which the performance of the distributed cache system deteriorates due to storage heterogeneity. The key takeaway from this work is that the effects of heterogeneity in the storage capabilities depend heavily on the popularity profile of the contents being cached and delivered. We analytically show that compared to the case where contents popularity is comparable across contents, lopsided popularity profiles are more tolerant to heterogeneity in storage capabilities. We validate our theoretical results via simulations.
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