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apta
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#  Fault-tolerant object-granular CXL.mem for FaaS # What is Āpta? Āpta is a fault-tolerant CXL-based, shared disaggregated memory system that is specialized as an object-store to improve performance of function-as-a-service (FaaS) applications. The full system design and specifications are available in our [DSN 2023 paper](https://users.cs.utah.edu/~vijay/papers/dsn23.pdf). This repository contains all artifacts used to experimentally evaluate Āpta # Features and properties of Āpta ### What does it provide? - Higher performance than Amazon S3, Amazon ElastiCache, RDMA-based in-memory object store. - Highest compute-server fault-tolerance, similar to as Amazon S3 - Strongly consistent object store and strict recovery semantics - Flexible, dynamic schedulability of individual functions - Lowers tail latency for function executions ### How does it achieve it? - Uses CXL 3.0 shared disaggregated memory to hold shared FaaS objects in a memory server - Builds over the CXL.mem protocol to create object granularity read/write semantics and allow object caching in compute servers - Transforms the CXL.mem protocol into a high-available one using lazy (asynchronous) invalidations and coherence-aware scheduling - Architects data place controllers on the memory and compute servers - Designs the control-plane software components # Repository contents 1. gem5 based implementation of CXL disaggregated memory (forked from [VANDAL/SynchroTrace-gem5](https://github.com/VANDAL/SynchroTrace-gem5))\ This repo contains architecture implementations of - cxl-uncached: disable caching of all disaggregated memory data (no coherence required) - cxl-baseline: 2 state (Valid/Invalida) coherence protocol - lazy-invalidation (Āpta protocol): cxl-baseline protocol with sharer invalidation out-of-the-critical path 2. serverless benchmarks to run within the simulator\ This repo contains refactored, shared memory implementations of serverless workflow benchmarks with - python functions with object sharing using shared memory - python converted to C code using cython - generated C code annotated with get / compute / put phases of execution - traces generated with compiled C code using [VANDAL/Prism](https://github.com/adarshpatil/prism/tree/3a12d62cf622ac3918ff62f4265ce3457b48f7a4) 3. Coherence protocol [specification](https://github.com/adarshpatil/apta/blob/main/Apta-DSN23-appendix.pdf) in table format. 4. [Murphi model](https://github.com/adarshpatil/apta/tree/main/murphi-model) for the Āpta protocol (generated using [ProtoGen](https://github.com/icsa-caps/ProtoGen)) # Additional Material - FAQ, pdf, slides - https://adar.sh/apta # Referencing our work If you are using Āpta for your work, please cite: ``` @inproceedings{apta-dsn23, author = {Patil, Adarsh and Nagarajan, Vijay and Nikoleris, Nikos and Oswald, Nicolai}, title = {Apta: Fault-tolerant object-granular CXL disaggregated memory for accelerating FaaS}, year = {2023}, publisher = {}, booktitle = {Proceedings of the IEEE/IFIP 53rd Annual International Conference on Dependable Systems and Networks}, pages = {}, numpages = {15}, keywords = {}, series = {DSN '23} } ``` # Trivia The name of the project - "Āpta" - is derived from the Sankrit word (आप्त) which means "trustworthy" or "reliable", referring here to the enhanced reliability provided by our system.
