Abstract: An event management system that plays a central role in handling varying loads of metadata events from each of a large number of touch-points or data servers that come into a Data Centric computing environment. As a matter of distinction when compared to conventional method-centric computing environments, there is broadly contemplated herein the concept not of physically installing a software agent on a designated system as stationary entity, but of launching it in a distributed computing environment and permitting it to “roam” around the numerous data servers to ensure consistency, accuracy and currency between the data entities managed by multiple data servers and the metadata servers in a data-centric computing environment.

Abstract: A method and system to effectively apply the real time resource information into process models at design time. When process models are being prepared, an optimal list of candidate roles for each task within the process is presented. This list is generated dynamically based on the characteristics of the underlying resources within the roles. Further, the same information, along with historical data related to past performance at a resource level, can be leveraged during process simulations for optimal resource allocations.

Abstract: Electronic communication has made it increasingly easier for large companies, such as those with thousands, even tens of thousands, of workers and/or consultants, to maintain steady streams of workflow across scattered offices and locations. In such a context, there is broadly contemplated herein business process modelling comprising the receipt of multiple business process models and resource constraints for each of the models. The models and constraints are then consolidated to more fully optimize business process modelling. Additional resource constraints governing goals of the business unit or organization are also received in embodiments of the invention, as well as resource registry information, (e.g., LDAP information) in addition to resource information such as resource availability and cost, etc. In embodiments of the invention, historical resource-to-task mapping is also assimilated as well as performance characteristics of resources.

Abstract: An event management system that plays a central role in handling varying loads of metadata events from each of a large number of touch-points or data servers that come into a Data Centric computing environment. As a matter of distinction when compared to conventional method-centric computing environments, there is broadly contemplated herein the concept not of physically installing a software agent on a designated system as stationary entity, but of launching it in a distributed computing environment and permitting it to “roam” around the numerous data servers to ensure consistency, accuracy and currency between the data entities managed by multiple data servers and the metadata servers in a data-centric computing environment.