SCHEDULE: NOV 10-16, 2012
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ATLAS Grid Workload on NDGF Resources: Analysis, Modeling, and Workload Generation
SESSION: Grid Computing
EVENT TYPE: Papers
TIME: 10:30AM - 11:00AM
SESSION CHAIR: Jim Basney
AUTHOR(S):Dmytro Karpenko, Roman Vitenberg, Alexander Lincoln Read
ROOM:355-D
ABSTRACT:
Evaluating new ideas for job scheduling or data transfer algorithms
in large-scale grid systems is known to be notoriously challenging.
Existing grid simulators expect
to receive a realistic workload as an input. Such input is difficult to provide
in absence of an in-depth study of representative grid workloads.
In this work, we analyze the ATLAS workload processed
on the resources of NDG Facility. ATLAS is one of the biggest grid technology users, with extreme demands for CPU
power and bandwidth.
The analysis is based on the data sample with ~1.6 million jobs,
1723TB of data transfer, and 873 years of processor time.
Our additional contributions are (a) scalable workload models that can be used to
generate a synthetic workload for a given number of jobs, (b) an open-source workload
generator software integrated with existing grid simulators, and (c) suggestions for grid system designers based on the insights of data analysis.
Chair/Author Details:
Jim Basney (Chair) - National Center for Supercomputing Applications
Dmytro Karpenko - University of Oslo
Roman Vitenberg - University of Oslo
Alexander Lincoln Read - University of Oslo
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ATLAS Grid Workload on NDGF Resources: Analysis, Modeling, and Workload Generation
SESSION: Grid Computing
EVENT TYPE:
TIME: 10:30AM - 11:00AM
SESSION CHAIR: Jim Basney
AUTHOR(S):Dmytro Karpenko, Roman Vitenberg, Alexander Lincoln Read
ROOM:355-D
ABSTRACT:
Evaluating new ideas for job scheduling or data transfer algorithms
in large-scale grid systems is known to be notoriously challenging.
Existing grid simulators expect
to receive a realistic workload as an input. Such input is difficult to provide
in absence of an in-depth study of representative grid workloads.
In this work, we analyze the ATLAS workload processed
on the resources of NDG Facility. ATLAS is one of the biggest grid technology users, with extreme demands for CPU
power and bandwidth.
The analysis is based on the data sample with ~1.6 million jobs,
1723TB of data transfer, and 873 years of processor time.
Our additional contributions are (a) scalable workload models that can be used to
generate a synthetic workload for a given number of jobs, (b) an open-source workload
generator software integrated with existing grid simulators, and (c) suggestions for grid system designers based on the insights of data analysis.
Chair/Author Details:
Jim Basney (Chair) - National Center for Supercomputing Applications
Dmytro Karpenko - University of Oslo
Roman Vitenberg - University of Oslo
Alexander Lincoln Read - University of Oslo
Click here to download .ics calendar file