CCBPM 2015 - 3rd International Workshop on Cloud and Context for Business Process Management (CCBPM'15)
Date2015-11-04 - 2015-11-06
Deadline2015-06-30
VenueTaipei, Taiwan
Keywords
Websitehttps://ccbpm.xmu.edu.cn
Topics/Call fo Papers
The goal of CCBPM'15 (http://ccbpm.xmu.edu.cn/) is to promote the role of cloud computing and context in business process management (BPM) by discussing (1) what the cloud computing and context community can bring to BPM community, including business and scientific workflow management; and (2) what are the challenges of BPM and workflow system that BPM community think cloud computing and context (cloud/context-based, cloud/context-aware, etc.) may solve. We are looking for extension of business processes and workflows like cloud/context-based BPM and workflow, and if possible, contextualized cloud BPM and workflow systems. After the previous CCBPM events CBPM’13 (October 28th, 2013, Annecy, Haute-Savoie, France, http://grid.lzu.edu.cn/psrl/cbpm/), CCBPM’14 (August 27th, 2014, Beijing, China, http://grid.lzu.edu.cn/psrl/ccbpm14/), the CCBPM'15 workshop will be held in conjunction with the International Conference on Cloud Computing and Big Data (CCBD 2015, http://web.ccbd2015.com/), which will take place in Taipei during November 4-6, 2015.
Technical issues addressed
BPM has been referred to as a "holistic management" approach to aligning an organization's business processes with the needs of users. It promotes business effectiveness and efficiency while striving for innovation, flexibility, and integration with technology. However, the challenge for a large use of business process is the failure in addressing both the dynamic execution environment (i.e. grid and cloud) and the elastic requirement of users (i.e., logic of use). Two lines of research emerge to address this problem. Upstream, researchers try to make explicit the contextualization process in designing flexible and elastic business process for process optimization and reuse. Downstream, new technology such as cloud computing could bring a promising orchestration of business process but suppose a revision of BPM architecture.
The technical issues to be addressed are: Where context may intervene for operationalizing business process? What must be the impact of cloud computing and context in the design and execution of business process? What would be a context-aware BPM and a cloud based BPM/Workflow Systems? What kinds of context constraints and middleware should be integrated with the business process? Recognizing the interdisciplinary nature of BPM, the workshop also encourages submissions that embrace other disciplines such as Workflow Management, Information Systems and IT Management, Data and Knowledge Management, Web/Software Engineering, Service-Oriented Computing, Social Computing, Big Data, etc. The key criteria for acceptance are excellence and answering challenges specific to the field of context for BPM and especially in the cloud computing paradigm.
The workshop solicits original papers on a broad range of topics, including but not limited to:
Cloud and Context based BPM/workflow: concepts and theory, e.g.
Context-centric flexibility, adaptability and evolution in BPM
Cloud-based BPM and Workflow as a Service
Knowledge and reasoning representation for business process
Security, privacy and trust in Cloud/Context-based BPM
Other socio-technical aspects of BPM/workflow in the Cloud
Context-aware business process/workflow, e.g.
Context for Mobile and Ubiquitous applications
Context-aware BPM for Authentication, Authorisation and Accounting
Context-aware recommendation process
Context for dynamic selection of web services
Cloud and Context-based workflows and applications, e.g.
Business and scientific workflows in the cloud
Decision support systems for cloud-based BPM
People-/knowledge-intensive process
Crowdsourcing and process based on social networks
Cloud and Context based workflow design, execution and scheduling, e.g.
Context and Quality-of-Service constraints for workflow design
Workflow verification and generation with context and QoS constraints
Load balancing and scheduling of cloud workflows
Cloud/Context-based process mining
Important Dates
Abstract submission deadline: June 23, 2015
Submission deadline: June 30, 2015
Notification of acceptance: August 10, 2015
Final manuscript due: September 10, 2015
Conference: November 4th to November 6th, 2015
Publication & Submission
Manuscripts need to be prepared according to the IEEE CS format
For regular papers, the length should be 8 pages.
For short papers, the length should be 4 pages.
For poster papers, the length should be 2 pages.
Submission will be electronic, in pdf format only. Submitted papers must not exceed 8 pages and should conform to Two-Column IEEE Format. At least one author of each accepted paper must register for the conference and present the contribution at the conference in order to be published in the conference proceedings. Detailed formatting and submissions instructions, as well as LaTeX and Word templates, can be accessed through Manuscript Templates for IEEE Conference Proceedings.
Submission system: https://easychair.org/conferences/?conf=ccbd2015
Please select Business Process Management Track to submit your paper to CCBPM'15.
The conference proceedings will be published by IEEECPS and submitted for indexing to EI. Best and selected papers will be recommended to several SCI and EI indexed journals (NB: Those selected papers to be published directly by EI indexed Journals will not be included in the conference proceedings).
Journal Opportunities
Best papers(and best paper candidates), after extension, will be recommended to the following SC indexed journals:
Chinese Journal of Electronics (SCI Indexed)
Computers and Electrical Engineering (SCI Indexed)
Select papers will be published directly in the following EI Indexed journals:
International Journal of Computational Science and Engineering (EI Indexed)
International Journal of Embedded Systems (EI Indexed)
International Journal of High Performance Computing and Networking (EI Indexed)
International Journal on Grid and High Performance Computing (EI Indexed)
Organization Committee
General Chairs
Kai Nan, Computer Network Information Center/ Chinese Academy of Sciences, China
Jinjun Chen, University of Technology, Sydney, Australia
Program Chairs
Haiwu He, Chinese Academy of Sciences, China, hehaiwu-AT-gmail.com
Wei Zheng, Xiamen University, China, zhengw-AT-xmu.edu.cn
Steering Committee
Patrick Brézillon, University Pierre and Marie Curie, France
Lian Li, Hefei University of Technology, China
Yun Yang, Swinburne Unviersity of Technology, Australia
Jean-Charles Pomerol,University Pierre and Marie Curie,France
Ruisheng Zhang, Lanzhou University, China
Frederic Magoules, Ecole Centrale Paris, France
Publicity Chair
Xiao Liu, East China Normal University, China
Fei Teng, Southwest Jiaotong University, China
Publication Chair
Fang Dong, Southeast University, China
Xiaoliang Fan, Lanzhou University, China
Program Committee (TBC)
Liliana Ardissono, Università degli Studi di Torino, Italy
Ludger van Elst,German Research Center for Artificial Intelligence, Germany
Marc Frincu, University of Strasbourg, France
Paula Ventura Martins, University of Algarve, Portugal
Matthias Wieland, Universitaet Stuttgart, Germany
Patrick Brézillon, University Pierre and Marie Curie, France
Marielba Zacarias, University of Algarve, Portugal
Yong Zhao, University of Electronic Science and Technology of China, China
Flavia Santoro, Federal University of the State of Rio de Janeiro, Brazil
Xiao Liu, East China Normal University, China
Monica Anastassiu, Federal University of the State of Rio de Janeiro, Brail
Jin Liu, Wuhan University, China
Haiwu He, Chinese Academy of Sciences, China
Yain-Whar Si, University of Macau, China
Massimo Mecella, Sapienza University, Rome, Italy
Dong Yuan, Swinburne University of Technology, Australia
Fei Teng, Southwest Jiaotong University, China
Xuyun Zhang, University of Technology, Sydney, Australia
Avelino J. Gonzalez, University of Central Florida, USA
Fang Dong, Southeast University, China
Christian Janiesch,Karlsruhe Institute of Technology, Germany
Stefan Schulte, Vienna University of Technology, Austria
Xiaoliang Fan, Lanzhou University, China
Ming Mao, University of Virginia, USA
Gaofeng Zhang, Swinburne University of Technology, Australia
John Hegarty, IPAG Paris, France
Wei Zheng, Xiamen University, China
Jürgen Hahn, Vienna University of Technology, Austria
Kejun Dong, Computer Network Information Center, Chinese Academy of Sciences, China
Bing Tang, Hunan University of Science and Technology, China
Changyou Zhang, Institute of Software Chinese Acdamy of Scienses, China
Jidong Ge, Nanjing University, China
Technical issues addressed
BPM has been referred to as a "holistic management" approach to aligning an organization's business processes with the needs of users. It promotes business effectiveness and efficiency while striving for innovation, flexibility, and integration with technology. However, the challenge for a large use of business process is the failure in addressing both the dynamic execution environment (i.e. grid and cloud) and the elastic requirement of users (i.e., logic of use). Two lines of research emerge to address this problem. Upstream, researchers try to make explicit the contextualization process in designing flexible and elastic business process for process optimization and reuse. Downstream, new technology such as cloud computing could bring a promising orchestration of business process but suppose a revision of BPM architecture.
The technical issues to be addressed are: Where context may intervene for operationalizing business process? What must be the impact of cloud computing and context in the design and execution of business process? What would be a context-aware BPM and a cloud based BPM/Workflow Systems? What kinds of context constraints and middleware should be integrated with the business process? Recognizing the interdisciplinary nature of BPM, the workshop also encourages submissions that embrace other disciplines such as Workflow Management, Information Systems and IT Management, Data and Knowledge Management, Web/Software Engineering, Service-Oriented Computing, Social Computing, Big Data, etc. The key criteria for acceptance are excellence and answering challenges specific to the field of context for BPM and especially in the cloud computing paradigm.
The workshop solicits original papers on a broad range of topics, including but not limited to:
Cloud and Context based BPM/workflow: concepts and theory, e.g.
Context-centric flexibility, adaptability and evolution in BPM
Cloud-based BPM and Workflow as a Service
Knowledge and reasoning representation for business process
Security, privacy and trust in Cloud/Context-based BPM
Other socio-technical aspects of BPM/workflow in the Cloud
Context-aware business process/workflow, e.g.
Context for Mobile and Ubiquitous applications
Context-aware BPM for Authentication, Authorisation and Accounting
Context-aware recommendation process
Context for dynamic selection of web services
Cloud and Context-based workflows and applications, e.g.
Business and scientific workflows in the cloud
Decision support systems for cloud-based BPM
People-/knowledge-intensive process
Crowdsourcing and process based on social networks
Cloud and Context based workflow design, execution and scheduling, e.g.
Context and Quality-of-Service constraints for workflow design
Workflow verification and generation with context and QoS constraints
Load balancing and scheduling of cloud workflows
Cloud/Context-based process mining
Important Dates
Abstract submission deadline: June 23, 2015
Submission deadline: June 30, 2015
Notification of acceptance: August 10, 2015
Final manuscript due: September 10, 2015
Conference: November 4th to November 6th, 2015
Publication & Submission
Manuscripts need to be prepared according to the IEEE CS format
For regular papers, the length should be 8 pages.
For short papers, the length should be 4 pages.
For poster papers, the length should be 2 pages.
Submission will be electronic, in pdf format only. Submitted papers must not exceed 8 pages and should conform to Two-Column IEEE Format. At least one author of each accepted paper must register for the conference and present the contribution at the conference in order to be published in the conference proceedings. Detailed formatting and submissions instructions, as well as LaTeX and Word templates, can be accessed through Manuscript Templates for IEEE Conference Proceedings.
Submission system: https://easychair.org/conferences/?conf=ccbd2015
Please select Business Process Management Track to submit your paper to CCBPM'15.
The conference proceedings will be published by IEEECPS and submitted for indexing to EI. Best and selected papers will be recommended to several SCI and EI indexed journals (NB: Those selected papers to be published directly by EI indexed Journals will not be included in the conference proceedings).
Journal Opportunities
Best papers(and best paper candidates), after extension, will be recommended to the following SC indexed journals:
Chinese Journal of Electronics (SCI Indexed)
Computers and Electrical Engineering (SCI Indexed)
Select papers will be published directly in the following EI Indexed journals:
International Journal of Computational Science and Engineering (EI Indexed)
International Journal of Embedded Systems (EI Indexed)
International Journal of High Performance Computing and Networking (EI Indexed)
International Journal on Grid and High Performance Computing (EI Indexed)
Organization Committee
General Chairs
Kai Nan, Computer Network Information Center/ Chinese Academy of Sciences, China
Jinjun Chen, University of Technology, Sydney, Australia
Program Chairs
Haiwu He, Chinese Academy of Sciences, China, hehaiwu-AT-gmail.com
Wei Zheng, Xiamen University, China, zhengw-AT-xmu.edu.cn
Steering Committee
Patrick Brézillon, University Pierre and Marie Curie, France
Lian Li, Hefei University of Technology, China
Yun Yang, Swinburne Unviersity of Technology, Australia
Jean-Charles Pomerol,University Pierre and Marie Curie,France
Ruisheng Zhang, Lanzhou University, China
Frederic Magoules, Ecole Centrale Paris, France
Publicity Chair
Xiao Liu, East China Normal University, China
Fei Teng, Southwest Jiaotong University, China
Publication Chair
Fang Dong, Southeast University, China
Xiaoliang Fan, Lanzhou University, China
Program Committee (TBC)
Liliana Ardissono, Università degli Studi di Torino, Italy
Ludger van Elst,German Research Center for Artificial Intelligence, Germany
Marc Frincu, University of Strasbourg, France
Paula Ventura Martins, University of Algarve, Portugal
Matthias Wieland, Universitaet Stuttgart, Germany
Patrick Brézillon, University Pierre and Marie Curie, France
Marielba Zacarias, University of Algarve, Portugal
Yong Zhao, University of Electronic Science and Technology of China, China
Flavia Santoro, Federal University of the State of Rio de Janeiro, Brazil
Xiao Liu, East China Normal University, China
Monica Anastassiu, Federal University of the State of Rio de Janeiro, Brail
Jin Liu, Wuhan University, China
Haiwu He, Chinese Academy of Sciences, China
Yain-Whar Si, University of Macau, China
Massimo Mecella, Sapienza University, Rome, Italy
Dong Yuan, Swinburne University of Technology, Australia
Fei Teng, Southwest Jiaotong University, China
Xuyun Zhang, University of Technology, Sydney, Australia
Avelino J. Gonzalez, University of Central Florida, USA
Fang Dong, Southeast University, China
Christian Janiesch,Karlsruhe Institute of Technology, Germany
Stefan Schulte, Vienna University of Technology, Austria
Xiaoliang Fan, Lanzhou University, China
Ming Mao, University of Virginia, USA
Gaofeng Zhang, Swinburne University of Technology, Australia
John Hegarty, IPAG Paris, France
Wei Zheng, Xiamen University, China
Jürgen Hahn, Vienna University of Technology, Austria
Kejun Dong, Computer Network Information Center, Chinese Academy of Sciences, China
Bing Tang, Hunan University of Science and Technology, China
Changyou Zhang, Institute of Software Chinese Acdamy of Scienses, China
Jidong Ge, Nanjing University, China
Other CFPs
Last modified: 2015-06-08 23:01:17