Lightweight, Secure and Stateful Serverless Computing with PSL
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866914992238886912 |
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| author | Thomas, Alexander Mishra, Shubham Chen, Kaiyuan Kubiatowicz, John |
| author_facet | Thomas, Alexander Mishra, Shubham Chen, Kaiyuan Kubiatowicz, John |
| contents | We present PSL, a lightweight, secure and stateful Function-as-a-Serivce (FaaS) framework for Trusted Execution Environments (TEEs). The framework provides rich programming language support on heterogeneous TEE hardware for statically compiled binaries and/or WebAssembly (WASM) bytecodes, with a familiar Key-Value Store (KVS) interface to secure, performant, network-embedded storage. It achieves near-native execution speeds by utilizing the dynamic memory mapping capabilities of Intel SGX2 to create an in-enclave WASM runtime with Just-In-Time (JIT) compilation. PSL is designed to efficiently operate within an asynchronous environment with a distributed tamper-proof confidential storage system, assuming minority failures. The system exchanges eventually-consistent state updates across nodes while utilizing release-consistent locking mechanisms to enhance transactional capabilities. The execution of PSL is up to 3.7x faster than the state-of-the-art SGX WASM runtime. PSL reaches 95k ops/s with YCSB 100% read workload and 89k ops/s with 50% read/write workload. We demonstrate the scalability and adaptivity of PSL through a case study of secure and distributed training of deep neural networks. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2410_20004 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Lightweight, Secure and Stateful Serverless Computing with PSL Thomas, Alexander Mishra, Shubham Chen, Kaiyuan Kubiatowicz, John Cryptography and Security Distributed, Parallel, and Cluster Computing We present PSL, a lightweight, secure and stateful Function-as-a-Serivce (FaaS) framework for Trusted Execution Environments (TEEs). The framework provides rich programming language support on heterogeneous TEE hardware for statically compiled binaries and/or WebAssembly (WASM) bytecodes, with a familiar Key-Value Store (KVS) interface to secure, performant, network-embedded storage. It achieves near-native execution speeds by utilizing the dynamic memory mapping capabilities of Intel SGX2 to create an in-enclave WASM runtime with Just-In-Time (JIT) compilation. PSL is designed to efficiently operate within an asynchronous environment with a distributed tamper-proof confidential storage system, assuming minority failures. The system exchanges eventually-consistent state updates across nodes while utilizing release-consistent locking mechanisms to enhance transactional capabilities. The execution of PSL is up to 3.7x faster than the state-of-the-art SGX WASM runtime. PSL reaches 95k ops/s with YCSB 100% read workload and 89k ops/s with 50% read/write workload. We demonstrate the scalability and adaptivity of PSL through a case study of secure and distributed training of deep neural networks. |
| title | Lightweight, Secure and Stateful Serverless Computing with PSL |
| topic | Cryptography and Security Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2410.20004 |