Cache Overloading

Cache overloading, the phenomenon where a cache's capacity is exceeded, is a significant challenge across diverse systems, from large language models (LLMs) to storage systems. Current research focuses on developing intelligent cache management strategies, including novel eviction policies that leverage semantic information in LLMs or learning-based approaches that dynamically adjust cache bandwidth in storage systems. These advancements aim to improve system performance, reduce operational costs (e.g., by minimizing token usage in LLMs), and enhance overall efficiency by mitigating the negative impacts of cache overload. The resulting improvements have significant implications for the performance and scalability of various applications.