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Special Issue on Service and Cloud Based Data Integration
Introduction
Integration and synthesis of heterogeneous, autonomous and
distributed data sources have been an essential and hard issue
in enterprise computing, scientific computing and social
computing. It is not always feasible to achieve effective data
integration around definite schemas when there are mismatches in
cross-domain integration and when such issues as compatibility,
scalability, timeliness, and user manipulation are concerned.
Many traditional data integration approaches/frameworks begin to
show their limitations, especially when dealing with situations
like data deluge and data source evolution. Service Oriented
Architecture, Cloud computing and Web 2.0 techniques have
brought light to dealing with these hard issues. Recent years
have seen some important progresses and potentials. Some "Data
as a Service" applications target fast, on-demand data
integration and latest data provisioning. Meanwhile, SOA is
being employed by many large projects to deal with data
collection, integration and discovery challenges across data
repositories.
The Special Issue on Service and Cloud Based Data Integration
will provide the scientific and industrial community a dedicated
forum, within the prestigious Springer Journal of Grid
Computing, for presenting novel models, methodologies, and
solution patterns that address the data integration issue and
fit in the service and cloud based settings. This special issue
will focus on the use of service and/or cloud based technologies
to meet the new data integration challenges that are not well
served by the current approaches. We believe this venue will be
an excellent place to help researchers, practitioners and
vendors in this community show latest progresses, determine
future goals, and present techniques for future development of
data integration.
Topics of interest include, but are not
limited to, the following:
Service Abstraction and Virtualization for Distributed Data
Integration
Modeling and Composition of Data Services
Scalability, Reliability and other Quality Assurance of Data
Integration
Correctness Verification and Freshness of Distributed Data
Integration Results
Performance Analysis and Optimization of Distributed Data
Integration Process
Agile and Ad-hoc Integration of Heterogeneous Data Sources
Automatic Tracing and Response of Changes and Updates
Real-time Integration and Processing of Large-scale Sensor
Data
Enterprise Mashup
User-friendly Mashup of Distributed Data Sources
Data Flow Modeling and Management in Cloud
Cloud-based Architectures for Distributed Data Integration
Applications of SOA and Cloud Infrastructure in Data
Integration
Important Dates
Papers Due: October 15, 2012
First Round Decisions: January 15, 2013
Major Revisions if needed: March 1, 2013
Second Round Decisions: April 15, 2013
Minor Revisions if needed: June 1, 2013
Final Decision: July 1, 2013
Publication Date: September 2013
Paper Submission
Authors are invited to submit original and unpublished
technical papers. All submissions will be peer-reviewed and
judged on correctness, originality, technical strength,
significance, quality of presentation, and relevance to the
special issue topics of interest. Submitted papers may not
have appeared in or be under consideration for another
workshop, conference or a journal, nor may they be under
review or submitted to another forum during the review
process. Submitted papers may not exceed 20 single-spaced
double-column pages using 10-point size font on 8.5x11 inch
pages (1" margins), including figures, tables, and
references. Note that accepted papers will likely be between
15 to 20 pages, depending on a variety of factors. For more
information for preparing the submitted papers, please see http://www.springer.com/computer/communication+networks/journal/10723,
under "Instructions for Authors". The papers (PDF format)
must be submitted online at http://grid.edmgr.com/
before the deadline. Please specify the article type to be
"special issue: data integration" when submitting the paper
on the website. For any questions on the submission process,
please email the guest editors at jgc.scdi.2013@gmail.com.
Special Issue Guest Editors
Yanbo Han (hanyanbo@ncut.edu.cn),
Research Center for Cloud Computing, North China University of
Technology, China
Jianwu Wang (jianwu@sdsc.edu), San
Diego Supercomputer Center, University of California, San
Diego, U.S.A.
Editors-in-Chief
Peter Kacsuk, Hungarian Academy of Sciences
Ian Foster, University of Chicago & Argonne National
Laboratory
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Best wishes
Sincerely yours
Jianwu Wang
jianwu@sdsc.edu
http://users.sdsc.edu/~jianwu/
Assistant Project Scientist
Scientific Workflow Automation Technologies (SWAT) Laboratory
San Diego Supercomputer Center
University of California, San Diego
San Diego, CA, U.S.A.