IEEE Spectrum
Future Generation Computer Systems - Special issue on metacomputing
Application-level scheduling on distributed heterogeneous networks
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
Performance Modeling and Prediction of Nondedicated Network Computing
IEEE Transactions on Computers
Grid Harvest Service: A System for Long-Term, Application-Level Task Scheduling
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
End-to-end available bandwidth: measurement methodology, dynamics, and relation with TCP throughput
IEEE/ACM Transactions on Networking (TON)
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Perceptrons: An Introduction to Computational Geometry
Perceptrons: An Introduction to Computational Geometry
Real-time VBR video traffic prediction for dynamic bandwidth allocation
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Evaluation and characterization of available bandwidth probing techniques
IEEE Journal on Selected Areas in Communications
Bandwidth estimation: metrics, measurement techniques, and tools
IEEE Network: The Magazine of Global Internetworking
GHS: A Performance System of Grid Computing
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 10 - Volume 11
Grid harvest service: a performance system of grid computing
Journal of Parallel and Distributed Computing
TM-DG: a trust model based on computer users' daily behavior for desktop grid platform
Proceedings of the 2007 symposium on Component and framework technology in high-performance and scientific computing
Support vector regression and ant colony optimization for grid resources prediction
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Bandwidth variability prediction with rolling interval least squares (RILS)
Proceedings of the 50th Annual Southeast Regional Conference
Information Sciences: an International Journal
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Most recent developments of computer sciences, such as web services, Grid, peer-to-peer, and mobile computing, are network-based computing. Their applicability depends on the availability of the underlying network bandwidth. However, network resources are shared and the available network bandwidth varies with time. There is no satisfactory solution available for network performance predictions. This lack of prediction limits the applicability of network-based computing, especially for Grid computing where concurrent remote processing is essential. In this study, we propose an Artificial Neural Network (ANN) based approach for network performance prediction. The ANN mechanism has been tested on classical trace files and compared with the well-known system NWS (Network Weather Service) for performance. Experimental results show the ANN approach always provides an improved prediction over that of NWS. ANN has a real potential in network computing.