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

Citation metrics

2Web of Science

Keywords

Science & Technology

Online Anomaly Detection

Performance Anomalies

Scientific Workflow

Hierarchical Temporal Memory

Computer Science, Theory & Methods

Computer Science