Parallel and Distributed Systems Group

Computer Science Department of Telecom SudParis

Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing

Reading group: Mohamed Iyed El Baouab will present "Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing" (Usenix ATC'20) at 1A312 (visio link) the 9/12/2022 at 10h30.


Serverless computing is an excellent fit for big data processing because it can scale quickly and cheaply to thousands of parallel functions. Existing serverless platforms isolate  functions in ephemeral, stateless containers, preventing them from directly sharing memory. This forces users to duplicate and serialise data repeatedly, adding unnecessary performance and resource costs. We believe that a new lightweight isolation approach is needed, which supports sharing memory directly between functions and reduces resource overheads.

We introduce Faaslets, a new isolation abstraction for highperformance serverless computing. Faaslets isolate the memory of executed functions using software-fault isolation (SFI), as provided by WebAssembly, while allowing memory regions to be shared between functions in the same address space. Faaslets can thus avoid expensive data movement
when functions are co-located on the same machine. Our runtime for Faaslets, FAASM, isolates other resources, e.g. CPU and network, using standard Linux cgroups, and provides a low-level POSIX host interface for networking, file system access and dynamic loading. To reduce initialisation times, FAASM restores Faaslets from already-initialised snapshots.

We compare FAASM to a standard container-based platform and show that, when training a machine learning model, it achieves a 2× speed-up with 10× less memory; for serving
machine learning inference, FAASM doubles the throughput and reduces tail latency by 90%.