Speaker
Description
New requirements from HEP data analysis includes limited access to login nodes, resource needed from the experiments program rather than the login nodes and efficient data access for collaborative workflows etc. We have developed an Interactive aNalysis worKbench (INK), a web-based platform leveraging the HTCondor cluster. INK transforms traditional batch-processing resources into a user-friendly, web-accessible interface, enabling researchers to leveage the cluster computing and storage resources directly via their browsers.
A loosely coupled architecture with token-based authentication to ensures thesecurity, while fine-grained permission management allows customizable access for users and experimental applications. Universal public interfaces abstract the heterogeneity of underlying resource heterogeneity. Following the first version released in Mar.2025, user feedback has been highly positive.
