Text compression
Generating representative Web workloads for network and server performance evaluation
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
The structural cause of file size distributions
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files
ICDMW '07 Proceedings of the Seventh IEEE International Conference on Data Mining Workshops
ACM Transactions on Software Engineering and Methodology (TOSEM)
Toward autonomic grids: analyzing the job flow with affinity streaming
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Power-Law Distributions in Empirical Data
SIAM Review
| Hi-index | 0.00 |
A large-scale analysis of the grid log data is here performed in order to recognize relations that may appear on the global level and are not observable when exploring any specific part of the grid. Grid, including its users, is modeled as a Complex Network in order to use analysis methods available from Complex Network Science. When investigating node degrees, strengths and job length parameters, the results demonstrate certain behaviors and distributions that are present in many natural phenomena, giving thus the representation of Grid as a complex system.