Project Lilliput 如何降低 JVM 内存开销？

1. Project Lilliput aims to reduce JVM memory overhead by compressing object headers, potentially saving 10% to 20% of memory in production environments and optimizing Java application performance. 2. The introduction of compressed class pointers in JDK 24 has allowed for the compression of 64-bit references to 32-bit array indexes, improving JVM efficiency. 3. The new lightweight locking feature in JDK 24 aims to enhance lock efficiency by assuming no conflicts, but it faces challenges related to unlock order and escape analysis complexity. 4. The core task of the new lightweight locking mechanism is to establish a mapping between Java objects and Java threads to determine if the current lock is held by the executing thread. 5. The new heavyweight lock mapping mechanism in JDK 24 utilizes a global concurrent hash table, which introduces additional memory overhead and synchronization requirements, potentially impacting lock efficiency. 6. The query cost for the new heavyweight lock mapping mechanism is h