Predictability of Process Resource Usage: A Measurement-Based Study on UNIX
IEEE Transactions on Software Engineering
Host load prediction using linear models
Cluster Computing
Online Prediction of the Running Time of Tasks
Cluster Computing
Predicting Queue Times on Space-Sharing Parallel Computers
IPPS '97 Proceedings of the 11th International Symposium on Parallel Processing
A Prediction-Based Real-Time Scheduling Advisor
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Predicting Application Run Times Using Historical Information
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Multivariate resource performance forecasting in the network weather service
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
An Economy-based Accounting Infrastructure for the DataGrid
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
Simulation of Price-Sensitive Resource Brokering and the Hybrid Pricing Model with DGAS-Sim
WETICE '04 Proceedings of the 13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Predicting job start times on clusters
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
Concurrency and Computation: Practice & Experience - First International Workshop on Emerging Technologies for Next-generation GRID (ETNGRID 2004)
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Why markets could (but don't currently) solve resource allocation problems in systems
HOTOS'05 Proceedings of the 10th conference on Hot Topics in Operating Systems - Volume 10
Efficient Response Time Predictions by Exploiting Application and Resource State Similarities
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
Predict task running time in grid environments based on CPU load predictions
Future Generation Computer Systems
Future Generation Computer Systems
QBETS: queue bounds estimation from time series
JSSPP'07 Proceedings of the 13th international conference on Job scheduling strategies for parallel processing
A model to predict the optimal performance of the Hierarchical Data Grid
Future Generation Computer Systems
Task profiling model for load profile prediction
Future Generation Computer Systems
Proceedings of the 6th International Workshop on Enhanced Web Service Technologies
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Basing job scheduling decisions on estimated queue wait times may help in efficiently balancing the workload on the grid. Previous work on usage prediction has mainly described methods for the estimation of queue wait times on clusters and supercomputers, based on the prediction of the run times of single jobs in a queue. We evaluate the possibility to use the historical information provided by a grid accounting system to predict not only run times of grid jobs, but also other types of resource usage (or resource consumption), hence increasing the parameter space on which job scheduling decisions may be based. For this purpose we analyze three grid accounting datasets from a large-scale production environment and report interesting findings about their characteristics.