Business Process Monitoring and Performance Analysis in the Cloud (CloudBpm 2016) as part of CloudCom 2016, Luxembourg, December 12, 2016.
The Business Process Monitoring and Performance Analysis in the Cloud workshop addresses broad issues on business process monitoring and analysis in the context of cloud computing, from a technical and business perspective. The main goal of this workshop is to bring together researchers and practitioners to exchange ideas, present and discuss their most recent achievements and lessons learned addressing the challenges related to Business Process Monitoring and Assessment in a Cloud/ multi-Cloud environment.
This workshop encourages the submission of papers presenting novel research and development works/projects on technical and business related aspects on Business Process Monitoring and Analysis in the Cloud. The workshop particularly values the practical experience in designing methods and deploying tools to support such monitoring and analysis. The papers may present new concepts and approaches related to monitoring and analysis of business processes in cloud environments, tools and systems providing practical implementations supporting such methods and approaches, and the integration and configuration of services in business oriented systems. In addition, we are also interested in application papers discussing the applicability of these methods and techniques to real-world problems. Submissions of original and unpublished works are invited, including research, theory and applications.
Topics of interest include, but are not limited to:
- Methods and frameworks for business process monitoring and performance analysis in cloud environments;
- Strategies and strategic decisions for business process monitoring and performance analysis, and its implications (e.g., concerning optimal cloud resources utilization, business process improvement);
- Tools supporting business process monitoring and analysis in cloud environments, with application in different domains, such as: logistics, healthcare;
- Key performance indicators for business process monitoring and performance analysis in cloud environments;
- Clouds and cross-organizational process mining;
- Business process configuration in the cloud;
- Data extraction for business process monitoring and analysis in the cloud.
|Notification of acceptance|
|Workshop date||December 12th, 2016|
The workshop papers should be no more than 6 pages (including references) in IEEE double column CS format. Papers should be submitted electronically via the workshop submission site. For an accepted paper, at least one author must register and attend the workshop. Accepted workshop papers will be published in a supplement of the Proceedings of CloudCom 2016, and submitted to IEEE Xplore (conditioned by the presentation at the workshop by the author).
Submissions (PDF format) should be done electronically through EasyChair: https://easychair.org/conferences/?conf=cloudbpm2016
|Claudia-Melania Chituc||Eindhoven University of Technology||The Netherlands|
|Farideh Heidari||Eindhoven University of Technology||The Netherlands|
|Adrian Mos||Xerox Research||France|
|Axel Kupper||Technical University of Berlin||Germany|
|Barbara Pernici||Politecnico di Milano||Italy|
|César A.F. de Rose||Pontifical Catholic University of Rio Grande do Sul||Brazil|
|Christian Janiesch||Universität Würzburg||Germany|
|Dirk Fahland||Eindhoven University of Technology||The Netherlands|
|George Feuerlicht||University of Technology Sydney||Australia|
|Giancarlo Fortino||University of Calabria||Italy|
|Ilia Petrov||TU Darmstadt||Germany|
|John Erik Wittern||IBM T.J. Watson Research Center||USA|
|Marco Comuzzi||Ulsan National Institute of Science and Technology||Republic of Korea|
|Massimo Macella||Sapienza Universita di Roma||Italy|
|Rui Jorge de Almeida||Eindhoven University of Technology||The Netherlands|
|Vincent E. Emeakaroha||The Irish Center for Cloud Computing and Commerce||Ireland|
|Yuhong Yan||Concordia University||Canada|
The CloudBpm2016 Workshop includes a Keynote Speech by Prof.dr.ir. Wil van der Aalst (Eindhoven University of Technology, The Netherlands) on Comparative Process Mining in the Cloud.
In cloud computing, IT-related capabilities and resources are provided as services. This provides new opportunities for process mining. Process mining is an emerging scientific discipline can be viewed as a bridge between data science and process science: It is both data-driven and process-centric.
Process mining provides a novel set of tools to discover the real processes, to detect deviations from normative processes, and to analyze bottlenecks and waste. Through cloud computing multiple organizations use the same services, but the way these services are used probably differs.
This makes it appealing to learn and compare the way in which these services are really used. What are differences between processes? What kinds of effects do these differences have? Can we recommend best practices learned over event data stored in the cloud?
Challenges include discovering configurable process models and process comparison. The notion of a process cube and associated operations such as slice, dice, roll-up, and drill-down are used to support process comparison. Each cell in the process cube corresponds to a set of events and can be used to discover a process model, to check conformance with respect to some process model, or to discover bottlenecks.
In his keynote, Wil van der Aalst will argue that process mining can be used for learning about the actual usage of cloud services. He will introduce basic process mining concepts, explain a particular discovery technique (inductive process mining), and elaborate on his collaboration with industry. His research group at TU/e applied process mining in over 150 organizations, developed the open-source tool ProM, and influenced the 20+ commercial process mining tools available today.