Cloud computing is a prominent approach for complex scientific and business workflow applications in the pay-as-you-go model. Workflow scheduling poses challenge cloud due to its widespread physics, astronomy, bioinformatics, healthcare, etc. Resource allocation problematic computationally intensive nature of workflow, interdependence tasks, heterogeneity resources. During resource allocation, ...

In recent years, cloud workflow task scheduling has always been an important research topic in the business world. Cloud means that tasks submitted by users are allocated to appropriate computing resources for execution, and corresponding fees paid real time according usage of resources. For most ordinary users, they mainly concerned with two service quality indicators completion execution cost...

We present a nature-inspired rule-based workflow platform capable of self adaptation by following an eventcondition-action approach and by integrating a dynamic resource selection relying on rule based scheduling heuristics. A language for workflows that is simple and easy to understand is introduced. The language also supports task semantics and ontology definition.

Workflows are activities involving the coordinated execution of multiple tasks performed by different processing entities, mostly in distributed heterogeneous environments which are very common in enterprises of even moderate complexity. In current commercial workflow systems, the workflow scheduler is a single centralized component. A distributed workflow enactment service on the other hand sh...