Abstract: Applications of distributed systems in high-performance scenarios are becoming increasingly widespread.However,their reliance on traditional caching frameworks faces bottlenecks such as high overhead in complex object transmission,high synchronization latency across nodes,and inefficient data access and storage.To address these issues,this paper proposes MMCache,a high-performance cluster caching framework whose core innovations include:a memory-mapped mirroring data transfer and access mechanism,which leverages virtual address fixation to achieve cross-process zero-copy access and structure-level high-efficiency reads;a cooling pool-driven lock-free cache unit update mechanism,which ensures runtime state atomic visibility and rapid reclamation without blocking business access;and a generic memory allocation management framework for address space,which integrates TCMalloc with generic adapters to enable efficient allocation,reclamation,and fragmentation suppression of mirrored memory.Experimental results show that under multi-scenario workloads involving 3 million keys,MMCache maintains a controllable cooling pool occupancy ratio,achieves a transaction success rate above 99%,and sustains stable response times.Compared with Redis and Memcached,MMCache demonstrates significant advantages in high-frequency read/write operations,complex object storage,and cluster synchronization performance.The technology has been deployed in the back-end system for aviation fare transactions,showcasing high performance,low latency,and strong consistency,and has broad potential for application in high-performance data processing scenarios such as e-commerce and big data analytics.

Key words: Memory-mapped mirroring, Distributed cluster caching, Zero-copy access, Complex object storage, Lock-free update mechanism, Colling pool, Generic memory allocator, High-performance caching framework