CacheSim: A cache simulation framework for evaluating caching algorithms on resource-constrained edge devices

Abstract

The rapid proliferation of Internet of Things (IoT) devices has dramatically increased the demand for efficient data processing, making caching a critical solution for achieving high-performance and cost-effective storage in edge environments. However, small-scale edge devices often suffer from severe resource constraints. Furthermore, there is a scarcity of academic analyses addressing how various caching algorithms perform in such environments. To bridge this knowledge gap, we have proposed a cache simulation framework, CacheSim, as an open-source software solution for caching evaluation. CacheSim provides comprehensive metrics, including hit rate, performance, CPU usage, and power consumption, offering researchers valuable insights into the efficiency of different caching strategies. Through this platform, we aim to stimulate innovation in caching algorithms, encouraging the development of techniques optimized for the unique challenges posed by edge devices.