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A. Murguzur, H. Truong, S. Dustdar:
"Multi-perspective Process Variability: A Case for Smart Green Buildings (Short Paper)";
Talk: IEEE 6th International Conference on Service-Oriented Computing and Applications, SOCA 2013, Kauai, Hawaii; 12-16-2013 - 12-18-2013; in: "Proceedings of the IEEE 6th International Conference on Service‐Oriented Computing and Applications, SOCA 2013", IEEE, (2013), ISBN: 978-1-4799-2701-2; 25 - 29.

The variability scale in large-scale Cyber-Physical Systems (CPSs) is high and complex due to the voluminousness, dynamicity and diversity of available computing resources (people, things and software services), domain-specific processes, domain-specific elements (stakeholders, assets and contracts), and their relationships. This requires us to go beyond current variability modeling and management techniques which neglect the complexity and the diversity of relevant stakeholders, data and assets, and thus cannot cope with intelligent business and analytics requirements in dynamic environments, such as smart city management. In this paper, we present a comprehensive
analysis for understanding the multi-perspective variability in
processes atop people, data and things in CPSs, particularly, for the sustainability governance of Smart Green Buildings (SGBs). We examine domain-specific processes and domainspecific elements and their relationships to derive a multipleperspective variability management for SGBs. On the basis of this, we conceptualize a novel model for the multi-perspective process variability representation.

smart city; smart building; variability; process configuration;

http://dx.doi.org/10.1109/SOCA.2013.40

Project Head Schahram Dustdar:
Cloud computing research lab