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U.S. Department of Energy
Office of Scientific and Technical Information

Predicting Runtime and Resource Utilization of Jobs on Integrated Cloud and HPC Systems

Dataset ·
 [1]
  1. Queensborough Community College, CUNY; Rutgers University - Busch Campus

This is a time series data set of resource utilizations and runtime for jobs run on both HPC systems (IC2 at Brookhaven Naional Lab,  Polaris at Argonne National Lab and Amazon Web Services. The data set can be used for machine learning models to predict runtime and resource utilization of jobs on a variety of systems.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
U.S. National Science Foundation; USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE Office of Science (SC), Office of Workforce Development for Teachers & Scientists (WDTS)
DOE Contract Number:
SC0012704; AC02-06CH11357
OSTI ID:
3005909
Country of Publication:
United States
Language:
English


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