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 8.5×11 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 9th, 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 9th, 2012
Acceptance notification: February 8th, 2012
Final paper due: Feb 21st, 2012
Organization
Workshop Chairs:
Dr. Yong Zhao
University of Electronic Science and Technology of China, China
yongzh04@gmail.com
Dr. Cui Lin
California State University, Fresno, USA
clin@csufresno.edu
Dr. Shiyong Lu
Wayne State University, USA
shiyong@wayne.edu
Program Chairs:
Dr. Wenhong Tian
University of Electronic Science and Technology of China, China
Dr. Ruini Xue
Tsinghua University, China
Steering Committee
– Dan Kartz, 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
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.
– Paolo Missier, Newcastle University, U.K.
– Paul Groth, University of Amsterdam, the Netherlands
– Zhiming Zhao, University of Amsterdam, the Netherlands
– Marta Mattoso, Federal University of Rio de Janeiro, Brazil
– 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.
– Wenhong Tian, University of Electronic Science and Technology of China, China
– Ruini Xue, Tsinghua University, China
– Jian Cao, Shanghai Jiaotong University, China
– Weisong Shi, Tongji University, China
– Jianxun Liu, Hunan University of Science and Technology, China
– Song Zhang, Chinese Academy of Sciences, China