缓存cache服务器
-
Updated
Apr 10, 2025 - Java
缓存cache服务器
🚀 推出 SivanCacheFramework!一款轻量级、高效的 缓存框架,让 缓存操作 变得不再复杂,提升数据处理速度,为开发者节约宝贵时间。
Set of concurrent wrappers around fastutil primitive maps
A collection of lockless, concurrent queues
Concurrent simulation of Pacman game
A concurrent hash map implementation in C++
Java Collections
Coroutine-friendly Kotlin in-memory cache with TTL expiry, bounded capacity, periodic cleanup, and eviction callbacks.
A console-based multi-client chat application built with Java Sockets and multithreading, enabling real-time communication over localhost with thread-safe user management and concurrent message handling.
A quick class to provide a lightweight cache wrapper on top of the ConcurrentHashMap class
Extract the points that are not dominated by any other points
Imlementation of Concurrent HashMaps in simulated B-Tree indexes to handle load contention in sales databases
Experience streamlined account management with this Java-based system. From creating and managing accounts to facilitating secure transactions, it boasts a robust testing framework ensuring reliability and thread-safe operations, all encapsulated within a single package.
Thread-safe Parking Lot System in Java using Singleton with double-checked locking, Strategy pattern for fee and payment logic, and Factory pattern for vehicle creation. AtomicBoolean and synchronized spot-level locking handle concurrent races via a TOCTOU-safe retry loop. Fluent Builder for lot configuration and UUID-based ticket generation.
A concurrent job queue system built in Java w/ Spring Boot, retry logic, configurable worker pools, RESTful API endpoints. Designed as a learning project to explore idiomatic Java concurrency (ExecutorService) and the Producer–Consumer model. Inspired by real job queue systems such as Celery. This is a Java remake of my GoQueue project
Hashtable、HashMap、ConcurrentHashMap三种数据结构的官方译文。【未完成】
Add a description, image, and links to the concurrenthashmap topic page so that developers can more easily learn about it.
To associate your repository with the concurrenthashmap topic, visit your repo's landing page and select "manage topics."