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Scientific Reports:

P. Hönisch, D. Schuller, C. Hochreiner, S. Schulte, S. Dustdar:
"Elastic Process Optimization - The Service Instance Placement Problem";
Report No. TUV-1841-2014-01, 2014; 6 pages.



English abstract:
The Vienna Platform for Elastic Processes (ViePEP) is a research Business Process Management System (BPMS) which additionally provides the functionalities of a cloud resource controller. As the name implies, the system is able to plan, schedule, and enact elastic processes in the cloud. ViePEP allows the integration of different optimization approaches, which could aim, e.g., at minimum makespans,
minimum costs, or a combination thereof.
Within this Technical Report we present an optimization model to tackle the challenges of scheduling service invocations among cloud-based computational resources. This specific optimization approach - the Service Instance Placement Problem - considers different kinds of QoS attributes and aims at cost-efficiency.
The Vienna Platform for Elastic Processes (ViePEP) is a research Business Process Management System (BPMS) which additionally provides the functionalities of a cloud resource controller. As the name implies, the system is able to plan, schedule, and enact elastic processes in the cloud. ViePEP allows the integration of different optimization approaches, which could aim, e.g., at minimum makespans, minimum costs, or a combination thereof. Within this Technical Report
we present an optimization model to tackle the challenges of scheduling service invocations among cloud-based computational
resources. This specific optimization approach â the Service Instance Placement Problem â considers different kinds of QoS attributes and aims at cost-efficiency.

Keywords:
Cloud Computing, Elastic Processes, Optimization, Scheduling, Business Process Management

Created from the Publication Database of the Vienna University of Technology.