Secure API-Driven Research Automation to Accelerate Scientific Discovery
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arXiv
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916793471205376 |
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| author | Skluzacek, Tyler J. Bryant, Paul Ruckman, A. J. Rosendo, Daniel Prentice, Suzanne Brim, Michael J. Adamson, Ryan Oral, Sarp Shankar, Mallikarjun da Silva, Rafael Ferreira |
| author_facet | Skluzacek, Tyler J. Bryant, Paul Ruckman, A. J. Rosendo, Daniel Prentice, Suzanne Brim, Michael J. Adamson, Ryan Oral, Sarp Shankar, Mallikarjun da Silva, Rafael Ferreira |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_11950 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Secure API-Driven Research Automation to Accelerate Scientific Discovery Skluzacek, Tyler J. Bryant, Paul Ruckman, A. J. Rosendo, Daniel Prentice, Suzanne Brim, Michael J. Adamson, Ryan Oral, Sarp Shankar, Mallikarjun da Silva, Rafael Ferreira Distributed, Parallel, and Cluster Computing 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. |
| title | Secure API-Driven Research Automation to Accelerate Scientific Discovery |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2506.11950 |