[Swift-user] CFP: 2nd IEEE International Workshop on Workflow Models, Systems, Services and Applications in the Cloud (CloudFlow) 2013
Michael Wilde
wilde at mcs.anl.gov
Mon Oct 8 09:40:12 CDT 2012
*
*
*Second IEEE International Workshop on Workflow Models, Systems, Services
and Applications in the Cloud (CloudFlow) 2013*
*To be held in conjunction with the 27th IEEE International Parallel &
Distributed Processing Symposium (IPDPS) 2013, Cambridge, Boston,
Massachusetts, USA, May 20-24, 2013.*
http://www.cloud-uestc.cn/cloudflow/home.html
*Overview*
Cloud computing is gaining tremendous momentum in both academia and
industry, more and more people are migrating their data and applications
into the Cloud. We have observed wide adoption of the MapReduce computing
model and the open source Hadoop system for large scale distributed data
processing, and a variety of ad hoc mashup techniques that weave together
Web applications. However, these are just first steps towards managing
complex task and data dependencies in the Cloud, as there are more
challenging issues such as large parameter space exploration, data
partitioning and distribution, scheduling and optimization, smart reruns,
and provenance tracking associated with workflow execution.
Cloud needs structured and mature workflow technologies to handle such
issues, and vice versa, as Cloud offers unprecedented scalability to
workflow systems, and could potentially change the way we perceive and
conduct research and experiments. The scale and complexity of the science
and data analytics problems that can be handled can be greatly increased on
the Cloud, and the on-demand nature of resource allocation on the Cloud
will also help improve resource utilization and user experience.
As Cloud computing provides a paradigm-shifting utility-oriented computing
model in terms of the unprecedented size of datacenter-level resource pool
and the on-demand resource provisioning mechanism, there are lots of
challenges in bringing Cloud and workflows together. We need high level
languages and computing models for large scale workflow specification; we
need to adapt existing workflow architectures into the Cloud, and integrate
workflow systems with Cloud infrastructure and resources; we also need to
leverage Cloud data storage technologies to efficiently distribute data
over a large number of nodes and explore data locality during computation
etc. We organize the CloudFlow workshop as a venue for the workflow and
Cloud communities to define models and paradigms, present their
state-of-the-art work, share their thoughts and experiences, and explore
new directions in realizing workflows in the Cloud.
*Topics:*
We welcome the submission of original work related to the topics listed
below, which include (in the context of Cloud):
• Models and Languages for Large Scale Workflow Specification
• Workflow Architecture and Framework
• Large Scale Workflow Systems
• Service Workflow
• Workflow Composition and Orchestration
• Workflow Migration into the Cloud
• Workflow Scheduling and Optimization
• Cloud Middleware in Support of Workflow
• Virtualized Environment
• Workflow Applications and Case Studies
• Performance and Scalability Analysis
• Peta-Scale Data Processing
• Event Processing and Messaging
• Real-Time Analytics
• Provenance
*Paper Submission*
Authors are invited to submit papers with unpublished, original work. The
papers should not exceed 10 single-spaced double-column pages using
10-point size font on 8.5x11 inch pages (IEEE conference style), including
figures, tables, and references.
Paper submission should be done via the online CMT system, Microsoft’s
Academic Conference Management Service (*
https://cmt.research.microsoft.com/CF2013*) by midnight January 9th, 2013
Pacific Time. The final format should be in PDF. Proceedings of the
workshop will be published by the IEEE Digital Library (indexed by EI) and
distributed at the conference. Selected excellent work may be eligible for
additional post-conference publication as journal articles or book
chapters. Submission implies the willingness of at least one of the authors
to register and present the paper.
*Important Dates*
**
Paper submission: January 9th, 2013
Acceptance notification: February 8th, 2013
Final paper due: Feb 19th, 2013
*Organization*
Workshop Chairs:
Dr. Yong Zhao
University of Electronic Science and Technology of China, China
yongzh04 at gmail.com
Dr. Cui Lin
California State University, Fresno, USA
clin at csufresno.edu
Dr. Shiyong Lu
Wayne State University, USA
shiyong at wayne.edu
Program Chair:
Dr. Wenhong Tian
University of Electronic Science and Technology of China, China
Publicity Chair:
Dr. Ruini Xue
University of Electronic Science and Technology of China, China
*Steering Committee *
• Daniel S. Katz, University of Chicago, U.S.A.
• Mike Wilde, University of Chicago, U.S.A.
• Ewa Deelman, University of South California, U.S.A.
• Tevfik Kosar, University at Buffalo, U.S.A.
• Ilkay Altintas, San Diego Supercomputer Center, U.S.A.
• Ioan Raicu, Illinois Institute of Technology, U.S.A.
• Yogesh Simmhan, University of Southern California, U.S.A.
• Ian Taylor, Cardiff University, U.K.
• Weimin Zheng, Tsinghua University, China
• Hai Jin, Huazhong University of Science and Engineering, China
• Wanchun Dou, Nanjing University, China
• Hui Zhang, National Science and Technology Infrastructure, China
*Program Committee *
• Shawn Bowers, Gonzaga University, U.S.A.
• Douglas Thain, University of Notre Dame, U.S.A.
• Ian Gorton, Pacific Northwest National Laboratory, U.S.A.
• Artem Chebotko, University of Texas at Pan American, U.S.A.
• Weisong Shi, Wayne State University, U.S.A.
• Paolo Missier, Newcastle University, U.K.
• Wei Tan, IBM T. J. Watson Research Center, U.S.A.
• Jianwu Wang, San Diego Super Computer Center, U.S.A.
• Ping Yang, Binghamton University, U.S.A.
• Jian Guo, Harvard University, U.S.A.
• Liqiang Wang, University of Wyoming, U.S.A.
• Paul Groth, VU University Amsterdam, the Netherlands
• Zhiming Zhao, University of Amsterdam, the Netherlands
• Marta Mattoso, Federal University of Rio de Janeiro, Brazil
• Wenhong Tian, University of Electronic Science and Technology of China,
China
• Ruini Xue, Tsinghua University, China
• Jian Cao, Shanghai Jiaotong University, China
• Jianxun Liu, Hunan University of Science and Technology, China
• Song Zhang, Chinese Academy of Sciences, China
• Hua Hu, Hangzhou Dianzi University, China
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