Graph-basierte Privacy-orientierte Optimierung von Geschäftsprozessmodellen

Abstract

Because of the outstanding efficiency and the overall success of cloud computing, cloud innovations have become an everyday part of the industry. Cloud-based business processes, which can be dynamically, in direct response to a customer order, adjusted and executed, are of particular importance. These are used for cooperative and inter-industrial applications straight through the cloud-base. Privacy requirements in terms of data protection, data security and confidentiality requirements are gaining considerably in value under the control of the collaboration-partner. Subject of this article is the extension of the concept and the architecture of a central cloud platform for the design, execution and monitoring of collaborative logistics processes. On this platform, business processes can be modeled and parameterized in their privacy properties. An emphasis is placed on the optimal determination of a process flow with special consideration of privacy requirements and environmental and economic costs. This process flow is then proposed for an user of that platform in accordance with predetermined priorities.