Modeling business capabilities and context dependent delivery by cloud services

Authors:
Jelena Zdravkovic;Janis Stirna;Martin Henkel;Jānis Grabis
Affiliations:
Department of Computer and Systems Sciences, Stockholm University, Kista, Sweden;Department of Computer and Systems Sciences, Stockholm University, Kista, Sweden;Department of Computer and Systems Sciences, Stockholm University, Kista, Sweden;Information Technology Institute, Riga Technical University, Riga, Latvia
Venue:
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
Year:
2013

Citing 8
Cited 0

Agent-oriented programming

Artificial Intelligence
Understanding and Using Context

Personal and Ubiquitous Computing
Adding Generic Contextual Capabilities to Wearable Computers

ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
Types of Information Technology Capabilities and Their Role in Competitive Advantage: An Empirical Study

Journal of Management Information Systems
Context-Aware Computing Applications

WMCSA '94 Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications
On managing business processes variants

Data & Knowledge Engineering
A view of cloud computing

Communications of the ACM
Blueprint template support for engineering cloud-based services

ServiceWave'11 Proceedings of the 4th European conference on Towards a service-based internet

Quantified Score

Hi-index	0.00

Visualization

Abstract

Contemporary business environments are changing rapidly, organizations are global, and cloud-based services have become a norm. Enterprises operating in these conditions need to have the capability to deliver their business in a variety of business contexts. Capability delivery thus has to be monitored and adjusted. Current Enterprise Modeling approaches do not address context-dependent capability design and do not explicitly support runtime adjustments. To address this challenge, a capability-driven approach is proposed to model business capabilities by using EM techniques, and to use model-based patterns to describe how software applications can adhere to changes in the execution context. A meta-model for capability design and delivery is presented with the consideration to delivering solutions as cloud services. The proposal is illustrated with an example case from an energy efficiency project. A supporting architecture for the capability development and the delivery in the cloud is also presented.