Statistical Properties of Task Running Times in a Global-Scale Grid Environment

— Over the years, the use of global grid environments have become widespread. In order to make applications robust against the dynamics of those grid environments it is essential to develop powerful techniques. For these techniques to be effective, it is important to have an understanding of the statistical properties of the dynamics of a grid environment. Today, however, the statistical properties of the dynamic behavior of real globalscale grid environments are not well understood. Therefore, we present a framework of statistical analysis tools by which we are able to obtain a characterization for different properties of different types of grid environments. Our main focus is on highly CPU-intensive grid applications that require huge amounts of processor power for running tasks. In order to derive a characterization of the statistical properties of the running times of tasks on processors, we have performed extensive measurements in a real, global-scale grid environment and analyz...

• Type: Conference
• Year: 2006
• Where: CCGRID
• Authors: Menno Dobber, Robert D. van der Mei, Ger Koole
• Keywords: CCGRID 2006, Cluster Computing, Global Grid Environments, Grid Environment, Statistical Properties