Secure API-Driven Research Automation to Accelerate Scientific Discovery

Tyler J. Skluzacek; Paul Bryant; A. J. Ruckman; Daniel Rosendo; Suzanne Prentice; Michael J. Brim; Ryan Adamson; Sarp Oral; Mallikarjun Shankar; Rafael Ferreira da Silva

doi:10.1145/3708035.3736072

Secure API-Driven Research Automation to Accelerate Scientific Discovery

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

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 enables secure and flexible programmatic access to high performance computing (HPC) resources. This framework allows intelligent agents and experimental facilities to dynamically provision resources and execute complex workflows, accelerating experimental lifecycles, and enabling AI-augmented autonomous science. S3M establishes a modern foundation for scientific computing infrastructure that significantly reduces traditional barriers between researchers, computational resources, and experimental facilities.

Original language	English
Title of host publication	PEARC 2025 - Practice and Experience in Advanced Research Computing 2025
Subtitle of host publication	The Power of Collaboration
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9798400713989
DOIs	https://doi.org/10.1145/3708035.3736072
State	Published - Jul 18 2025
Event	2025 Practice and Experience in Advanced Research Computing, PEARC 2025 - Columbus, United States Duration: Jul 20 2025 → Jul 24 2025

Publication series

Name	PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration

Conference

Conference	2025 Practice and Experience in Advanced Research Computing, PEARC 2025
Country/Territory	United States
City	Columbus
Period	07/20/25 → 07/24/25

Funding

This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. The authors acknowledge the guidance and expertise of Verónica G. Melesse Vergara in these efforts.

Keywords

Autonomous Science
Data Streaming
Scientific APIs
Workflows

Access to Document

10.1145/3708035.3736072

Cite this

Skluzacek, T. J., Bryant, P., Ruckman, A. J., Rosendo, D., Prentice, S., Brim, M. J., Adamson, R., Oral, S., Shankar, M., & da Silva, R. F. (2025). Secure API-Driven Research Automation to Accelerate Scientific Discovery. In PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration Article 68 (PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration). Association for Computing Machinery, Inc. https://doi.org/10.1145/3708035.3736072

Skluzacek, Tyler J. ; Bryant, Paul ; Ruckman, A. J. et al. / Secure API-Driven Research Automation to Accelerate Scientific Discovery. PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration. Association for Computing Machinery, Inc, 2025. (PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration).

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abstract = "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 enables secure and flexible programmatic access to high performance computing (HPC) resources. This framework allows intelligent agents and experimental facilities to dynamically provision resources and execute complex workflows, accelerating experimental lifecycles, and enabling AI-augmented autonomous science. S3M establishes a modern foundation for scientific computing infrastructure that significantly reduces traditional barriers between researchers, computational resources, and experimental facilities.",

keywords = "Autonomous Science, Data Streaming, Scientific APIs, Workflows",

author = "Skluzacek, \{Tyler J.\} and Paul Bryant and Ruckman, \{A. J.\} and Daniel Rosendo and Suzanne Prentice and Brim, \{Michael J.\} and Ryan Adamson and Sarp Oral and Mallikarjun Shankar and \{da Silva\}, \{Rafael Ferreira\}",

note = "Publisher Copyright: {\textcopyright} 2025 Copyright held by the owner/author(s); 2025 Practice and Experience in Advanced Research Computing, PEARC 2025 ; Conference date: 20-07-2025 Through 24-07-2025",

year = "2025",

month = jul,

day = "18",

doi = "10.1145/3708035.3736072",

language = "English",

series = "PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration",

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Skluzacek, TJ , Bryant, P , Ruckman, AJ, Rosendo, D, Prentice, S, Brim, MJ , Adamson, R , Oral, S , Shankar, M & da Silva, RF 2025, Secure API-Driven Research Automation to Accelerate Scientific Discovery. in PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration., 68, PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration, Association for Computing Machinery, Inc, 2025 Practice and Experience in Advanced Research Computing, PEARC 2025, Columbus, United States, 07/20/25. https://doi.org/10.1145/3708035.3736072

Secure API-Driven Research Automation to Accelerate Scientific Discovery. / Skluzacek, Tyler J.; Bryant, Paul ; Ruckman, A. J. et al.
PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration. Association for Computing Machinery, Inc, 2025. 68 (PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Bryant, Paul

AU - Ruckman, A. J.

AU - Rosendo, Daniel

AU - Prentice, Suzanne

AU - Brim, Michael J.

AU - Adamson, Ryan

AU - Oral, Sarp

AU - Shankar, Mallikarjun

AU - da Silva, Rafael Ferreira

PY - 2025/7/18

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AB - 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 enables secure and flexible programmatic access to high performance computing (HPC) resources. This framework allows intelligent agents and experimental facilities to dynamically provision resources and execute complex workflows, accelerating experimental lifecycles, and enabling AI-augmented autonomous science. S3M establishes a modern foundation for scientific computing infrastructure that significantly reduces traditional barriers between researchers, computational resources, and experimental facilities.

KW - Autonomous Science

KW - Data Streaming

KW - Scientific APIs

KW - Workflows

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BT - PEARC 2025 - Practice and Experience in Advanced Research Computing 2025

PB - Association for Computing Machinery, Inc

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Y2 - 20 July 2025 through 24 July 2025

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Skluzacek TJ , Bryant P , Ruckman AJ, Rosendo D, Prentice S, Brim MJ et al. Secure API-Driven Research Automation to Accelerate Scientific Discovery. In PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration. Association for Computing Machinery, Inc. 2025. 68. (PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration). doi: 10.1145/3708035.3736072

Secure API-Driven Research Automation to Accelerate Scientific Discovery

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