Laminar 2.0: Serverless Stream Processing with Enhanced Code Search and Recommendations

This paper presents Laminar 2.0, an enhanced serverless framework for running dispel4py streaming work-flows. Building on Laminar 1.0, this version introduces improved dependency management, client-server functionality, and advanced deep learning models for semantic search. Key innovations include a structural code-to-code search using simplified parse syntax trees (SPTs) for detecting similar Processing Elements (PEs) or workflows, even from incomplete code. Additionally, Laminar 2.0 optimizes text-to-code search through better preprocessing of PEs. Our evaluation shows significant performance improvements over the previous version.