[Swift-devel] CFP: CloudFlow 2012 Workshop - Submission Deadline Extended to Jan 16th, 2012
Michael Wilde
wilde at mcs.anl.gov
Mon Jan 9 10:29:56 CST 2012
First International Workshop on Workflow Models, Systems, Services and Applications in the Cloud (CloudFlow) 2012
To be held in conjunction with the 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS) 2012, Shanghai, China, May 21-25, 2012.
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/CF2012 ) by midnight January 16th, 2012 Pacific Time. The final format should be in PDF. Proceedings of the workshop will be published by the IEEE Digital Library 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 16th, 2012
Acceptance notification: February 15th, 2012
Final paper due: Feb 26th, 2012
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 Chairs:
Dr. Wenhong Tian
University of Electronic Science and Technology of China, China
Dr. Ruini Xue
Tsinghua University, 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
· Mostafa Ezziyyani, Abdelmalek Essaâdi Univeristy, Morocco
· 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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