| dc.description.abstract | σOS aims to provide both serverless and stateful support to cloud applications while maintaining strong isolation, security, and efficient startup times and scheduling among multiple users. While σOS and its container startup times have been successfully benchmarked for tasks written, compiled, and statically linked in Golang and Rust, it currently lacks support for other languages, including interpreted ones like Python. To bridge this gap, this paper presents the first integration of an interpreted language into σOS, enabling native Python support without compromising the system’s core principles. Our design, σPy, achieves this through three key ideas: (1) system call interposition via LD_PRELOAD to enable just-in-time dependency management, where Python libraries are fetched on-demand from tenant-specified AWS S3 buckets, avoiding overhead during container initialization; (2) a multi-layered mount namespace that spans the local machine, a per-realm Docker container, and a per-proc σcontainer, enabling efficient dependency caching at the per-tenant granularity; and (3) a hybrid C++, C, and Python API layer that bridges σOS’s Protobuf-based RPC system with Python’s dynamic types. Preliminary benchmarks demonstrate that σPy achieves performance comparable to that of compiled languages like Golang when interacting with the σOS API, with only 0.2 - 0.3 additional milliseconds of overhead on all tested API calls, validating the success of Python programs on the σOS architecture. | |
