Presentation
Laminar 2.0: Serverless Stream Processing with Enhanced Code Search and Recommendations
DescriptionThis paper presents Laminar 2.0, an enhanced serverless framework for running dispel4py streaming workflows. Building on Laminar, 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 pre-
processing of PEs. Our evaluation shows significant performance improvements over the previous version.
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 pre-
processing of PEs. Our evaluation shows significant performance improvements over the previous version.