Bandwidth-Aware Scheduling of Workflow Application on Multiple Grid Sites

Workflow-based Tasks Scheduling on Grid

Due to the distributed nature of data and the need for high performance, it makes Grid a suitable environment for distributed data mining. Since distributed data mining applications are typically data intensive, one of the main requirements of such a DDM Grid environment is the efficient workflow scheduling. We propose an architecture for a Knowledge Grid scheduler that results in the minimal r...

Network-Aware Grid Scheduling

Network links, as the communication media for Grid transmissions, should be considered as a parameter to decide about the convenience of using other different resources, such as CPU. This is achieved by means of a scheduling algorithm, which decides which computing resource will execute each users’ jobs. This task (the scheduling of jobs to computing resources) is done by taking into account th...

Workflow Scheduling In Grid Environment

Task scheduling in heterogeneous computing environment such as grid computing is a critical and challenging problem. Many parallel applications consist of multiple computational components. While the execution of some of these components or tasks depends on the completion of other tasks, others can be executed at the same time, which increases parallelism of the problem. The task scheduling pro...

Grid Workflow Scheduling In WOSE

The success of web services has infuenced the way in which grid applications are being written. Grid users seek to use combinations of web services to perform the overall task they need to achieve. In general this can be seen as a set of services with a workflow document describing how these services should be combined. The user may also have certain constraints on the workflow operations, such...

A Survey on the Performance of Job Scheduling in Workflow Application on Grid Platforms