Automating Green Patterns to Compensate CO2 Emissions of Cloud-based Business Processes

نویسندگان

  • Alexander Nowak
  • Uwe Breitenbücher
  • Frank Leymann
چکیده

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. Keywords-Green Business Process Patterns; Management Automation; Cloud Computing; Infrastructure as a Service.

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تاریخ انتشار 2015