Sieve: Cache eviction can be simple, effective, and scalable

Researchers have introduced a new cache eviction algorithm called SIEVE, aiming to simplify the process while maintaining efficiency and scalability. Traditional algorithms like LRU are effective but leave room for improvement. SIEVE focuses on lazy promotion and quick demotion to enhance cache performance. It utilizes a single FIFO list and a pointer to track objects for eviction, distinguishing itself from other algorithms like FIFO-Reinsertion. By implementing SIEVE and other algorithms on various datasets, researchers found that SIEVE outperformed LRU in terms of efficiency. The study highlights the importance of optimizing cache eviction strategies, especially in modern web cache workloads where objects often exhibit skewed popularity distributions. SIEVE's design and operations offer a promising approach to balancing simplicity with effectiveness in cache management, addressing the challenges posed by evolving data access patterns and the need for efficient cache utilization.