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In-memory caching systems are fundamental building blocks in cloud services.However, due to the coupled CPU and memory on monolithic servers, existingcaching systems cannot elastically adjust resources in a resource-efficient andagile manner. To achieve better elasticity, we propose to port in-memorycaching systems to the disaggregated memory (DM) architecture, where computeand memory resources are decoupled and can be allocated flexibly. However,constructing an elastic caching system on DM is challenging since accessingcached objects with CPU-bypass remote memory accesses hinders the execution ofcaching algorithms. Moreover, the elastic changes of compute and memoryresources on DM affect the access patterns of cached data, compromising the hitrates of caching algorithms. We design Ditto, the first caching system on DM,to address these challenges. Ditto first proposes a client-centric cachingframework to efficiently execute various caching algorithms in the compute poolof DM, relying only on remote memory accesses. Then, Ditto employs adistributed adaptive caching scheme that adaptively switches to the best-fitcaching algorithm in real-time based on the performance of multiple cachingalgorithms to improve cache hit rates. Our experiments show that Dittoeffectively adapts to the changing resources on DM and outperforms thestate-of-the-art caching systems by up to 3.6x in real-world workloads and 9xin YCSB

Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System