WOWMON: A Machine Learning-based Profiler for Self-adaptive Instrumentation of Scientific Workflows

Author:

Zhang Xuechen,Abbasi Hasan,Huck Kevin,Malony Allen D.

Publisher

Elsevier BV

Subject

General Engineering

Reference23 articles.

1. Adaptable IO System (ADIOS). https://www.olcf.ornl.gov/center-projects/adios/.

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3. Greg Eisenhauer and Karsten Schwan. An object-based infrastructure for program monitoring and steering. In 2nd SIGMETRICS Symposium on Parallel and Distributed Tools (SPDT’98), pages 10-20, 1998.

4. Greg Eisenhauer, Matthew Wolf, Hasan Abbasi, and Karsten Schwan. Event-based systems: Opportunities and challenges at exascale. DEBS ‘09, pages 2:1-2:10. ACM, 2009.

5. EVpath Library. http://svn.cc.gatech.edu/kaos/evpath/.

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2. Performance assessment of ensembles of in situ workflows under resource constraints;Concurrency and Computation: Practice and Experience;2022-06-08

3. SYMBIOMON: A High-Performance, Composable Monitoring Service;2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC);2021-12

4. Assessing Resource Provisioning and Allocation of Ensembles of In Situ Workflows;50th International Conference on Parallel Processing Workshop;2021-08-09

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