The Research Problem which we investigate here:
How can the process of creating technical deployment descriptions in CAMEL be eased?
For detailing this we will go through the CAMEL creation workflow and we will learn about the added value of this research.

• How can we make use of cloud providers on all layers?
• How can we adapt the deployment in a cross-layer way to fit the current needs?

In this video we will show results regarding three research topics on which we have concentrated:

• Semantic Lifting and Matcher Prototypes: How can a modeling environment support the semantic lifting of BPaaS models such that a matching algorithm can be performed?
• Context-Adaptive Questionnaire Prototype: How can semantic lifting and service discovery be performed more intuitively and smartly?
• DMN to SPARQL CONSTRUCT Prototype: How can a modeling environment support the business user in editing rules for the smart business-IT alignment?

This presentation addresses the the issue of manual and automatic single-level service selection. It showcases an integrated, cross-level semantic service discovery and selection system which is able to automate the BPaaS workflow concretisation task and thus accelerate the BPaaS bundle development time. 

The presentation addresses mainly the issue of KPI analysis by showcasing a semantic KPI analysis system which is able to support KPI evaluation and drill-down for both fixed and new, custom KPI metrics.