Benchmarking, Analysis, and Optimization of Serverless Function Snapshots

TL;DR

This paper introduces vHive, an open-source framework for serverless experimentation, and proposes REAP, a memory prefetching mechanism that significantly reduces cold-start latency in snapshot-based serverless functions.

Contribution

The paper presents vHive for comprehensive serverless research and introduces REAP, a novel prefetching method that improves cold-start times by leveraging stable memory access patterns.

Findings

Snapshot startup time is 95% higher than memory-resident execution.

Functions access a stable working set of pages across invocations.

REAP reduces cold-start delays by 3.7 times on average.

Abstract

Serverless computing has seen rapid adoption due to its high scalability and flexible, pay-as-you-go billing model. In serverless, developers structure their services as a collection of functions, sporadically invoked by various events like clicks. High inter-arrival time variability of function invocations motivates the providers to start new function instances upon each invocation, leading to significant cold-start delays that degrade user experience. To reduce cold-start latency, the industry has turned to snapshotting, whereby an image of a fully-booted function is stored on disk, enabling a faster invocation compared to booting a function from scratch. This work introduces vHive, an open-source framework for serverless experimentation with the goal of enabling researchers to study and innovate across the entire serverless stack. Using vHive, we characterize a state-of-the-art snapshot-based serverless infrastructure, based on industry-leading Containerd orchestration framework and Firecracker hypervisor technologies. We find that the execution time of a function started from a snapshot is 95% higher, on average, than when the same function is memory-resident. We show that the high latency is attributable to frequent page faults as the function's state is brought from disk into guest memory one page at a time. Our analysis further reveals that functions access the same stable working set of pages across different invocations of the same function. By leveraging this insight, we build REAP, a light-weight software mechanism for serverless hosts that records functions' stable working set of guest memory pages and proactively prefetches it from disk into memory. Compared to baseline snapshotting, REAP slashes the cold-start delays by 3.7x, on average.