Abstract
Stateful serverless work!ows consist of multiple serverless functions that access state on a remote database. Developers sometimes add a cache layer between the serverless runtime and the database to improve I/O latency. However, in a serverless environment, functions in the same work!ow may be scheduled to di"erent nodes with di"erent caches, which can cause non-intuitive anomalies. This paper presents CausalMesh, a novel approach to causally consistent caching in serverless computing. CausalMesh is the #rst cache system that supports coordination-free and abort-free read- /write operations and read transactions when clients roam among multiple servers. CausalMesh also supports read-write transactional causal consistency in the presence of client roaming, but at the cost of abort-freedom. Our evaluation shows that CausalMesh has lower latency and higher throughput than existing proposals.
| Original language | English |
|---|---|
| Pages (from-to) | 4599-4613 |
| Number of pages | 15 |
| Journal | Proceedings of the VLDB Endowment |
| Volume | 17 |
| Issue number | 13 |
| DOIs | |
| State | Published - 2024 |
| Event | 51st International Conference on Very Large Data Bases, VLDB 2025 - London, United Kingdom Duration: Sep 1 2025 → Sep 5 2025 |
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