|Bibliography||Nowak, Alexander; Breitenbücher, Uwe; Leymann, Frank: Automating Green Patterns to Compensate CO2 Emissions of Cloud-based Business Processes. |
In: IARIA Xpert Publishing Services (ed.): Proceedings of ADVCOMP 2014.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
IARIA, August 24, 2014.
Article in Proceedings (Conference Paper).
|CR-Schema||D.2.13 (Software Engineering Reusable Software)|
H.4.1 (Office Automation)
|Keywords||Business Process Patterns; Management Automation; Cloud Computing; Infrastructure as a Service|
The usefulness of patterns to optimize the environmental impact of business processes and their infrastructure has already been described in literature. However, due to the abstract description of pattern solutions, the individual application of patterns has to be done manually which is time consuming, complex, and error-prone. In this work, we show how the Green Compensation pattern can be applied automatically to different individual Cloud-based business processes in order to lower the negative environmental impact of the employed Virtual Machines without any manual effort. We show how our Management Planlet Framework can be used to implement this concrete refined pattern solution in a reusable way.
|Full text and|
|Original Publication Reference|
|Department(s)||University of Stuttgart, Institute of Architecture of Application Systems|
|Entry date||June 23, 2014|