Task duplication is an effective scheduling technique for reducing the response time of workflow applications in dynamic grid computing systems. Task duplication based scheduling algorithms generate shorter schedules without sacrificing efficiency but leave the computing resources over consumed due to the heavily duplications. In this paper, we try to minimize the duplications of tasks from the...

In this chapter we introduce the YAWL4Healthcare WfMS. This is a prototype implementation of a WfMS augmented with calendar-based scheduling support and inter-workflow support. It has been realized in combination with the YAWL WfMS (version 2.1 final). For this chapter we assume that the reader is already familiar with the YAWL WfMS. Extensive information about YAWL can be found on www.yawlfoun...

The advent of Cloud computing as a newmodel of service provisioning in distributed systems encourages researchers to investigate its benefits and drawbacks on executing scientific applications such as workflows. One of the most challenging problems in Clouds is workflow scheduling, i.e., the problem of satisfying the QoS requirements of the user as well as minimizing the cost of workflow execut...

loud computing is providing an environment for scientific workflows where large-scale and complex scientific analysis can be scheduled onto a heterogeneous collection of computational and storage resources. A scientific workflow is described as a paradigm, which is used to describe a set of structured activities and scientific computations. Scientific workflow scheduling has become one of the m...

One of the most important and challenging issues in construction project management is to schedule activities to meet the construction project requirements under resource constraints. In this paper, we will concentrate on the development of a workflow scheduling system that can be applied in construction supply chains based on the interactions of entities/partners. Execution of workflows that h...

The development of grid and workflow technologies has enabled complex, loosely coupled scientific applications to be executed on distributed resources. Many of these applications consist of large numbers of short-duration tasks whose runtimes are heavily influenced by delays in the execution environment. Such applications often perform poorly on the grid because of the large scheduling overhead...

Nowadays the grid is turning into a service-oriented environment. In this context, there exist solutions to the execution of workflows and most of them are web-service based. Additionally, services are considered to exist on a fixed host, limiting the resource alternatives when scheduling the workflow tasks. In this paper we address the problem of dynamic instantiation of grid services to sched...

Service Orientation (SO) and grid computing are two computing paradigms that when put together using Internet technologies promise to provide a scalable yet flexible computing platform for a diverse set of distributed computing applications. This practice gives rise to the notion of a computing cloud that addresses some previous limitations of interoperability, resource sharing and utilization ...

Existing Grid scheduling systems, such as e-Science workflow brokers operate in tandem but lack the notion of cooperation mechanism that can lead to efficient application schedules across distributed resources. Lack of coordination exacerbates the utilization of various resources including computing cycles and network bandwidth. Moreover, current brokering systems have evolved around centralize...