2025/06/13 by Tyler J. Skluzacek, Paul Bryant, Skluzacek, Tyler J. +17 · 3 citations
Computer Science · Decision Sciences · #Distributed #FOS: Computer and information sciences #Parallel #Research Data Management Practices #Scientific Computing and Data Management #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2506.11950
openalex publication_date 2025/06/13 · openalex created_date 2025/10/11 · openalex updated_date 2026/07/28
The Secure Scientific Service Mesh (S3M) provides API-driven infrastructure to accelerate scientific discovery through automated research workflows. By integrating near real-time streaming capabilities, intelligent workflow orchestration, and fine-grained authorization within a service mesh architecture, S3M revolutionizes programmatic access to high performance computing (HPC) while maintaining uncompromising security. This framework allows intelligent agents and experimental facilities to dynamically provision resources and execute complex workflows, accelerating experimental lifecycles, and unlocking the full potential of AI-augmented autonomous science. S3M signals a new era in scientific computing infrastructure that eliminates traditional barriers between researchers, computational resources, and experimental facilities.