Firecracker: Lightweight Virtualization for Serverless Applications
Alexandru Agache, Marc Brooker, Alexandra Iordache, Anthony Liguori, Rolf Neugebauer, Phil Piwonka, Diana-Maria Popa
摘要
Serverless containers and functions are widely used for deploying and managing software in the cloud. Their popularity is due to reduced cost of operations, improved utilization of hardware, and faster scaling than traditional deployment methods. The economics and scale of serverless applications demand that workloads from multiple customers run on the same hardware with minimal overhead, while preserving strong security and performance isolation. The traditional view is that there is a choice between virtualization with strong security and high overhead, and container technologies with weaker security and minimal overhead. This tradeoff is unacceptable to public infrastructure providers, who need both strong security and minimal overhead. To meet this need, we developed Firecracker, a new open source Virtual Machine Monitor (VMM) specialized for serverless workloads, but generally useful for containers, functions and other compute workloads within a reasonable set of constraints. We have deployed Firecracker in two publically-available serverless compute services at Amazon Web Services (Lambda and Fargate), where it supports millions of production workloads, and trillions of requests per month. We describe how specializing for serverless informed the design of Firecracker, and what we learned from seamlessly migrating Lambda customers to Firecracker.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了最后一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper90
- Pond: CXL-Based Memory Pooling Systems for Cloud PlatformsHuaicheng Li, Daniel S. Berger, Lisa Hsu, Daniel Ernst 等ASPLOS 2023 · 被引用 328 次
- FaasCache: keeping serverless computing alive with greedy-dual cachingAlexander Fuerst, Prateek SharmaASPLOS 2021 · 被引用 223 次
- Benchmarking, analysis, and optimization of serverless function snapshotsDmitrii Ustiugov, Plamen Petrov, Marios Kogias, Edouard Bugnion 等ASPLOS 2021 · 被引用 162 次
- IceBreaker: warming serverless functions better with heterogeneityRohan Basu Roy, Tirthak Patel, Devesh TiwariASPLOS 2022 · 被引用 151 次
- Faastlane: Accelerating Function-as-a-Service WorkflowsSwaroop Kotni, Ajay Nayak, Vinod Ganapathy, Arkaprava BasuUSENIX ATC 2021 · 被引用 142 次
它引用的顶会 Paper7
- Spectre Attacks: Exploiting Speculative ExecutionPaul Kocher, Jann Horn, Anders Fogh, Daniel Genkin 等S&P 2019 · 被引用 2,435 次
- Meltdown: Reading Kernel Memory from User SpaceMoritz Lipp, Michael Schwarz, Daniel Gruss, Thomas Prescher 等USENIX Security 2018 · 被引用 1,456 次
- ZombieLoad: Cross-Privilege-Boundary Data SamplingMichael Schwarz, Moritz Lipp, Daniel Moghimi, Jo Van Bulck 等CCS 2019 · 被引用 464 次
- A Systematic Evaluation of Transient Execution Attacks and DefensesClaudio Canella, Jo Van Bulck, Michael Schwarz, Moritz Lipp 等USENIX Security 2019 · 被引用 442 次
- ret2spec: Speculative Execution Using Return Stack BuffersGiorgi Maisuradze, Christian RossowCCS 2018 · 被引用 282 次
相关 Paper
- KASLR in the age of MicroVMsBenjamin Holmes, Jason Waterman, Dan WilliamsEuroSys 2022 · 被引用 5 次
- Fireworks: a fast, efficient, and safe serverless framework using VM-level post-JIT snapshotWonseok Shin, Wook-Hee Kim, Changwoo MinEuroSys 2022 · 被引用 20 次
- Serverless Functions Made Confidential and Efficient with Split ContainersJiacheng Shi, Jinyu Gu, Yubin Xia, Haibo ChenUSENIX Security 2025
- Unifying serverless and microservice workloads with SigmaOSAriel Szekely, Adam Belay, Robert Morris, M. Frans KaashoekSOSP 2024 · 被引用 11 次
- Growlithe: A Developer-Centric Compliance Tool for Serverless ApplicationsPraveen Gupta, Arshia Moghimi, Devam Sisodraker, Mohammad Shahrad 等S&P 2025
