Input/output behavior of supercomputing applications
Proceedings of the 1991 ACM/IEEE conference on Supercomputing
A static analysis of I/O characteristics of scientific applications in a production workload
Proceedings of the 1993 ACM/IEEE conference on Supercomputing
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Compact application signatures for parallel and distributed scientific codes
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Generalized feature extraction for structural pattern recognition in time-series data
Generalized feature extraction for structural pattern recognition in time-series data
An introduction to variable and feature selection
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Dynamic scheduling of scientific workflow applications on the grid: a case study
Proceedings of the 2005 ACM symposium on Applied computing
A Comparison of Two Methods for Building Astronomical Image Mosaics on a Grid
ICPPW '05 Proceedings of the 2005 International Conference on Parallel Processing Workshops
Capturing, indexing, clustering, and retrieving system history
Proceedings of the twentieth ACM symposium on Operating systems principles
Service-Oriented Environments for Dynamically Interacting with Mesoscale Weather
Computing in Science and Engineering
GNARE: an environment for grid-based high-throughput genome analysis
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
K-WfGrid Distributed Monitoring and Performance Analysis Services for Workflows in the Grid
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
Automatic decomposition of time series into step, ramp, and impulse primitives
Pattern Recognition
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Fault Tolerance and Recovery of Scientific Workflows on Computational Grids
CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
Performance monitoring and visualization of grid scientific workflows in ASKALON
HPCC'06 Proceedings of the Second international conference on High Performance Computing and Communications
Power-Aware Consolidation of Scientific Workflows in Virtualized Environments
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
Failure analysis of distributed scientific workflows executing in the cloud
Proceedings of the 8th International Conference on Network and Service Management
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Grids promote new modes of scientific collaboration and discovery by connecting distributed instruments, data and computing facilities. Because many resources are shared, application performance can vary widely and unexpectedly. We describe a novel performance analysis framework that reasons temporally and qualitatively about performance data from multiple monitoring levels and sources. The framework periodically analyzes application performance states by generating and interpreting signatures containing structural and temporal features from time-series data. Signatures are compared to expected behaviors and in case of mismatches, the framework hints at causes of degraded performance, based on unexpected behavior characteristics previously learned by application exposure to known performance stress factors. Experiments with two scientific applications reveal signatures that have distinct characteristics during well-performing versus poor-performing executions. The ability to automatically and compactly generate signatures capturing fundamental differences between good and poor application performance states is essential to improving the quality of service for Grid applications.