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Caching function is a promising way to mitigate coldstart overhead in serverless computing. However, as caching also increases the resource cost significantly, how to make caching decisions is still challenging. We find that the prior "local cache control" designs are insufficient to achieve high cache efficiency due to the workload skewness across servers.

In this paper, inspired by the idea of software defined network management, we propose Flame, an efficient cache system to manage cached functions with a "centralized cache control" design. By decoupling the cache control plane from local servers and setting up a separate centralized controller, Flame is able to make caching decisions considering a global view of cluster status, enabling the optimized cache-hit ratio and resource efficiency. We evaluate Flame with real-world workloads and the evaluation results show that it can reduce the cache resource …