By Zoran Constantinescu
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Additional resources for Advances in Grid Computing
5. When the number of free resources is less than the number of tasks, the Optimum method and Grid-JQA do not have better performance than the General method. They improve the results when the number of free resources gets more than the number of tasks. g. Internet). 6. Also, when the number of free resources is more than two times of the task number, the results are not improving. Comparing below figures, we can find following results: 1. Most of the time, Grid-JQA has less turnaround time than Wait method (figures 5, 6, and 10).
Tasks assigned to each service varying the total amount of tasks Fig. 4. The effect of services tasks weight vector on execution success ratio attribute is data accuracy which is measured by round off errors resulting from ﬂoat-point operations intentionally introduced to the solvers. As for the data tasks, dummy ﬁles where used to be transferred via GridFTPFoster (2006). The ﬁle sizes varied from 100MB to 20TB to represent different task sizes. e. priority) was deﬁned for the data tasks where each task was assigned priority rank for the scheduler to attempt to meet the priority requirement of those tasks.
11 the difference between Grid-JQA and Optimum will be decreased. By increasing the threshold, the difference decreases. So with changing the threshold, Grid-JQA approaches to Optimum method. 3. Grid-JQA, our proposed solution, can provide the results close to the Optimum method and has the advantage of time complexity O(n) instead of O(n3). 4. Most of the time Dup Grid-JQA has less turnaround time in comparison with other methods. And also it has less cost in comparison with retrying and check pointing.