TY - GEN
T1 - Virtual Infrastructure Twins
T2 - Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022
AU - Rao, Nageswara S.V.
AU - Al-Najjar, Anees
AU - Zandi, Helia
AU - Sankaran, Ramanan
AU - Hicks, Susan
AU - Roccapriori, Kevin
AU - Mukherjee, Debangshu
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Science ecosystems are being built by federating computing systems and instruments located at geographically distributed sites over wide-area networks. These computing-instrument ecosystems are expected to support complex workflows that incorporate remote, automated AI-driven science experiments. Their realization, however, requires various designs to be explored and software components to be developed, in order to support the orchestration of distributed computations and experiments. It is often too expensive, infeasible, or disruptive for the entire ecosystem to be available during the typically long software development and testing periods. We propose a Virtual Infrastructure Twin (VIT) of the ecosystem that emulates its network and computing components, and incorporates its instrument software simulators. It provides a software environment nearly identical to the ecosystem to support early development and testing, and design space exploration. We present a brief overview of previous digital infrastructure twins that culminated in the VIT concept, including (i) the virtual science network environment for developing software-defined networking solutions, and (ii) the virtual federated science instrument environment for testing the federation software stack and remote instrument control software. We briefly describe VITs for Nion microscope steering and access to GPU systems.
AB - Science ecosystems are being built by federating computing systems and instruments located at geographically distributed sites over wide-area networks. These computing-instrument ecosystems are expected to support complex workflows that incorporate remote, automated AI-driven science experiments. Their realization, however, requires various designs to be explored and software components to be developed, in order to support the orchestration of distributed computations and experiments. It is often too expensive, infeasible, or disruptive for the entire ecosystem to be available during the typically long software development and testing periods. We propose a Virtual Infrastructure Twin (VIT) of the ecosystem that emulates its network and computing components, and incorporates its instrument software simulators. It provides a software environment nearly identical to the ecosystem to support early development and testing, and design space exploration. We present a brief overview of previous digital infrastructure twins that culminated in the VIT concept, including (i) the virtual science network environment for developing software-defined networking solutions, and (ii) the virtual federated science instrument environment for testing the federation software stack and remote instrument control software. We briefly describe VITs for Nion microscope steering and access to GPU systems.
UR - http://www.scopus.com/inward/record.url?scp=85148698546&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-23606-8_10
DO - 10.1007/978-3-031-23606-8_10
M3 - Conference contribution
AN - SCOPUS:85148698546
SN - 9783031236051
T3 - Communications in Computer and Information Science
SP - 155
EP - 172
BT - Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation - 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Revised Selected Papers
A2 - Doug, Kothe
A2 - Al, Geist
A2 - Pophale, Swaroop
A2 - Liu, Hong
A2 - Parete-Koon, Suzanne
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 24 August 2022 through 25 August 2022
ER -