The unifying theme of our research is Knowledge-driven Enterprise Architectures and Services. This encompasses the development of: 1) an Adaptive Complex Enterprise theory for services delivery, 2) new tools and methods based on the theory, and 3) a CyberInfrastrucutre and reference architecture for demonstrating results. Browse some of our related research assets below - including a book introducing the Adaptive Complex Enterprise framework, theses, project overviews, technical reports, and publications.
These publications from 2008 onwards reflect the leverage of the Adaptive Complex Enterprise ontology in applications like City Services, Green Data Centers, and in the more intelligent interpretation of operational data. Additional papers cover flexible workflows, quality of services, sentiment analysis, agile, and related tools and methods.
Book: Co-engineering the Adaptive Business and Technologies - Enterprise Service Ontologies, Models and Frameworks. Jay Ramanathan and Rajiv Ramnath.
With our NSF CCLI and IUCRC Grants we have sucessfully mined important industry scenarios and identified the knowledge needed to expose students to real-world problem solving. Additionally, in support of the curriculum we have published the findings in a book for the advanced student.
Thesis research areas span technology and organizations. Inter-disciplinary topics span the management of green data centers, knowledge mining for organizational improvement, and serious gaming for insights into decision-making.
The technical reports offer early results. Many of these reports are also available as later publications.
The Mirror Reference Architecture and Cyber Infrastructure provides a laboratory environment for students to demonstrate technology solutions developed in projects. Starting with an IBM SUR grant as a basis, we have developed methods and tools to manage highly complex, distributed systems. The figure is a conceptual view of the services (integrated by the underlying enterprise service ontology). Starting with the Dashboard (top left) for mining operational knowledge for decision making, we research Data Management (lower left) and Green Computing (lower right) aspects. In addition we also look at the leverage of such an architecture to deliver important new classes of socially relevant applications (top right). One class of applications includes "Serious Gaming" - for example Geo Game. This explores in-the-small interactions between agents as they make decisions. The Mirror allows us to apply rules and realize real-world consequences due to interactions and policy, support planning by looking at the impact of policy, and finally, execute new policies leading to new consequences.
CASE: Community for Accelerated Services Engineering. This NSF has the following Curriculum Project Goals: 1) Develop relevant and exciting scenarios that will expose students to deal with real-world variation, 2) End-to-end, 3) Assessment methodology incorporating industry feedback, and 4) Incorporate industry project artifacts into curriculum, build reference enterprise system