Scientific workflow systems have become a necessary tool for many applications, enabling
the composition and execution of complex analysis on distributed resources. Today there …

In this paper, we assume an environment with multiple, heterogeneous resources, which
provide services of different capabilities and of a different cost. Users want to make use of …

Workflow scheduling on the Grid becomes more challenging when multiple scheduling
criteria are considered. Existing studies provide different approaches to the multi-criteria …

The resource availability in Grids is generally unpredictable due to the autonomous and
shared nature of the Grid resources and stochastic nature of the workload resulting in a best …

The workflow scheduling problem which is considered difficult on the Grid becomes even
more challenging when multiple scheduling criteria are used for optimization. The existing …

Large-scale distributed computing systems like grids and more recently clouds are a
platform of choice for many resource-intensive applications. Workflow applications account …

We propose a new heuristic called Resubmission Impact to support fault tolerant execution
of scientific workflows in heterogeneous parallel and distributed computing environments. In …

Several Grids have been established and used for varying science applications during the
last years. Most of these Grids, however, work in isolation and with different utilisation levels …

Workflow scheduling on parallel systems has long been known to be a NP-complete
problem. As modern grid and cloud computing platforms emerge, it becomes indispensable …

Support for advance reservations of resources plays a key role in Grid resource
management as it enables the system to meet user expectations with respect to time …