In this paper, a performance prediction model is presented to estimate execution time of scientific workflows for a different number of resources, taking into ...

In the evaluation, three real-world scientific workflows are used to compare the estimated makespan calculated by the model with the actual makespan achieved on ...

Nov 16, 2014 · Thus, in order to use a cloud infrastructure efficiently, some ability to predict the workflow execution time (or makespan) is needed in order.

In this paper, a performance prediction model is presented to estimate execution time of scientific workflows for a different number of resources, taking into ...

In this paper, a performance prediction model is presented to estimate execution time of scientific workflows for a different number of resources, taking into ...

With this approach, after the initial run, the time estimation of a workflow can be easily shown to the user. This was achieved by adapting the makespan ...

A performance model to estimate execution time of scientific workflows on the cloud ; Workflows in Support of Large-Scale Science (WORKS), 2014 9th Workshop on.

Jun 23, 2023 · In this paper, we present a dynamic runtime model that couples workflow tasks with their individual applications and infrastructure requirements ...

Jun 23, 2023 · In this paper, we present a dynamic runtime model that couples workflow tasks with their individual applications and infrastructure requirements.

In this paper, we present a modular framework that leverages Machine Learning for creating precise performance predictions of a workflow.