Journal article

Detecting performance anomalies in scientific workflows using hierarchical temporal memory

Maria A Rodriguez, Ramamohanarao Kotagiri, Rajkumar Buyya

Future Generation Computer Systems | ELSEVIER SCIENCE BV | Published : 2018

DOI: 10.1016/j.future.2018.05.014

University of Melbourne Researchers

Maria Rodriguez Read Author Computing and Information Systems

Rajkumar Buyya Author Computing and Information Systems

Rao Kotagiri Author Computing and Information Systems

Citation metrics

1Web of Science

Keywords

Computer Science, Theory & Methods

Computer Science

Scientific Workflow

Performance Anomalies

Hierarchical Temporal Memory

Online Anomaly Detection

Science & Technology