Effective scheduling is a key concern for the execution of performance driven Grid applications. In this paper, we propose a Dynamic Critical Path (DCP) based workflow scheduling algorithm that determines effi-cient mapping of tasks by calculating the critical path in the workflow task graph at every step. It assigns priority to a task in the critical path which is estimated to complete earlier. Using simulation, we have com-pared the performance of our proposed approach with other existing heuristic and meta-heuristic based scheduling strategies for different type and size of workflows. Our results demonstrate that DCP based approach can generate better schedule for most of the type of workflows irrespective of their size particularly when...
We describe four problems inherent to Grid scheduling that could be identified by means of measureme...
This paper presents an algorithm called Failure-Aware Workflow Scheduling (FAWS). The proposed algor...
This paper presents an algorithm called Failure-Aware Workflow Scheduling (FAWS). The proposed algor...
Abstract. Next-generation computational sciences feature large-scale workflows of many computing mod...
Recently, utility grids have emerged as a new model of service provisioning in heterogeneous distrib...
Resource abundance is apparent in today's multicore era. Workflow applications common in science and...
series may be reproduced in any form or by any means without prior written permission of the publish...
The Grid has enabled the scientific community to make faster progress. Scientific experiments and da...
In this dissertation, we present a design and implementation of a tool for automatic mapping and sch...
The advent of Cloud computing as a new model of service provisioning in distributed systems encourag...
Abstract. The execution of scientific workflows in Grid environments imposes many challenges due to ...
In attempts to exploit a diverse set of resources in grids efficiently, numerous assays in resource ...
Growing evidence shows that in obtaining high performance, a well-managed time-constrained workflow ...
In this paper, we study the scheduling decisions for handling deadline-constrained workflows in the ...
We describe four problems inherent to Grid scheduling that could be identified by means of measureme...
This paper presents an algorithm called Failure-Aware Workflow Scheduling (FAWS). The proposed algor...
This paper presents an algorithm called Failure-Aware Workflow Scheduling (FAWS). The proposed algor...
Abstract. Next-generation computational sciences feature large-scale workflows of many computing mod...
Recently, utility grids have emerged as a new model of service provisioning in heterogeneous distrib...
Resource abundance is apparent in today's multicore era. Workflow applications common in science and...
series may be reproduced in any form or by any means without prior written permission of the publish...
The Grid has enabled the scientific community to make faster progress. Scientific experiments and da...
In this dissertation, we present a design and implementation of a tool for automatic mapping and sch...
The advent of Cloud computing as a new model of service provisioning in distributed systems encourag...
Abstract. The execution of scientific workflows in Grid environments imposes many challenges due to ...
In attempts to exploit a diverse set of resources in grids efficiently, numerous assays in resource ...
Growing evidence shows that in obtaining high performance, a well-managed time-constrained workflow ...
In this paper, we study the scheduling decisions for handling deadline-constrained workflows in the ...
We describe four problems inherent to Grid scheduling that could be identified by means of measureme...
This paper presents an algorithm called Failure-Aware Workflow Scheduling (FAWS). The proposed algor...
This paper presents an algorithm called Failure-Aware Workflow Scheduling (FAWS). The proposed algor...