Caching Aided Multi-Tenant Serverless Computing
<|reference_start|>Caching Aided Multi-Tenant Serverless Computing: One key to enabling high-performance serverless computing is to mitigate cold-starts. Current solutions utilize a warm pool to keep function alive: a warm-start can be analogous to a CPU cache-hit. However, modern cache has multiple hierarchies and the last-level cache is shared among cores, whereas the warm pool is limited to a single tenant for security concerns. Also, the warm pool keep-alive policy can be further optimized using cache replacement algorithms. In this paper, we borrow practical optimizations from caching, and design FaasCamp, a caching-aided multi-tenant serverless computing framework. FaasCamp extends the single-tier warm pool into multi-tiers, with a reclaim pool introduced enabling secure function instance sharing among tenants. Also, FaasCamp leverages machine learning to approximate the optimal cache replacement policy to improve the warm rate. We have implemented a prototype and conducted extensive experiments under multiple scenarios. The results show that FaasCamp can outperform existing platforms with minimal overhead.<|reference_end|>
@article{qiao2024caching,
    title={Caching Aided Multi-Tenant Serverless Computing},
    author={Chu Qiao, Cong Wang, Zhenkai Zhang, Yuede Ji, Xing Gao},
    journal={arXiv preprint arXiv:2408.00957},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.00957},
    primaryClass={cs.DC}
}