This presentation discusses the "cold node problem" that occurs when a node restarts in a Cassandra cluster. When a node restarts, it loses its cached data and becomes a bottleneck. The presentation proposes a "heat weighted load balancing" solution where the cluster tracks each node's cache hit ratio and redistributes requests based on this ratio after a restart. Testing shows this solution significantly improves throughput after a node restart by distributing requests more evenly across nodes based on their "heat" or cache contents.