Realizing Elastic Processes with ViePEP
Online business processes are faced with varying workloads that require agile deployment of computing resources. Elastic processes leverage the on-demand provisioning ability of Cloud Computing to allocate and de-allocate resources as required to deal with shifting demand. To realize elastic processes, it is necessary to track the current and future system landscape, monitor the process execution, reason about how to utilize resources in an optimal way, and carry out the necessary actions (e.g., start/stop servers, move services).
Traditional Business Process Management Systems (BPMS) do not consider such needs of elastic process. Within this demo, we present ViePEP, a research BPMS able to execute and monitor resource-, cost- and QoS-elastic, service-based workflows and optimize the overall system landscape based on a reasoning of the non-functional requirements of current and forthcoming elastic processes.
KeywordsCloud Computing Smart Grid Cloud Resource Service Invocation Action Engine
- 4.Li, H., Venugopal, S.: Using reinforcement learning for controlling an elastic web application hosting platform. In: 8th International Conference on Autonomic Computing (ICAC 2011), pp. 205–208 (2011)Google Scholar
- 5.Rusitschka, S., Eger, K., Gerdes, C.: Smart Grid Data Cloud: A Model for Utilizing Cloud Computing in the Smart Grid Domain. In: 1st IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 483–488 (2010)Google Scholar
- 6.Schulte, S., Hoenisch, P., Venugopal, S., Dustdar, S.: Introducing the Vienna Platform for Elastic Processes. In: Zhu, H., Ghose, A., Yu, Q., Perrin, O., Wang, J., Wang, Y., Delis, A., Sheng, Q.Z. (eds.) ICSOC 2012. LNCS, vol. 7759, pp. 179–190. Springer, Heidelberg (2013)Google Scholar