Digital spectral analysis: with applications
Digital spectral analysis: with applications
Introduction to signal processing
Introduction to signal processing
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Host load prediction using linear models
Cluster Computing
Predicting the CPU Availability of Time-Shared Unix Systems on the Computational Grid
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
Design and Evaluation of a Resource Selection Framework for Grid Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Homeostatic and Tendency-Based CPU Load Predictions
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Performance Prediction in Production Environments
IPPS '98 Proceedings of the 12th. International Parallel Processing Symposium on International Parallel Processing Symposium
Size-Based Scheduling Policies with Inaccurate Scheduling Information
MASCOTS '04 Proceedings of the The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
Adaptive multi-resource prediction in distributed resource sharing environment
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
Extended forecast of CPU and network load on computational Grid
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
CPU Load Predictions on the Computational Grid *
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Predicting Running Time of Grid Tasks based on CPU Load Predictions
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Journal of Systems and Software
Efficient dynamic task scheduling in virtualized data centers with fuzzy prediction
Journal of Network and Computer Applications
Future Generation Computer Systems
Resource optimization in distributed real-time multimedia applications
Multimedia Tools and Applications
A dynamic and adaptive load balancing strategy for parallel file system with large-scale I/O servers
Journal of Parallel and Distributed Computing
Host load prediction in a Google compute cloud with a Bayesian model
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Google hostload prediction based on Bayesian model with optimized feature combination
Journal of Parallel and Distributed Computing
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Due to the dynamic nature of grid environments, schedule algorithms always need assistance of a long-time-ahead load prediction to make decisions on how to use grid resources efficiently. In this paper, we present and evaluate a new hybrid model, which predicts the n-step-ahead load status by using interval values. This model integrates autoregressive (AR) model with confidence interval estimations to forecast the future load of a system. Meanwhile, two filtering technologies from signal processing field are also introduced into this model to eliminate data noise and enhance prediction accuracy. The results of experiments conducted on a real grid environment demonstrate that this new model is more capable of predicting n-step-ahead load in a computational grid than previous works. The proposed hybrid model performs well on prediction advance time for up to 50 minutes, with significant less prediction errors than conventional AR model. It also achieves an interval length acceptable for task scheduler.