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Special Issue on Data Intensive Computing in the Clouds
Springer Journal of Grid Computing
News
- The Third International Workshop on Data Intensive Computing in the Clouds (DataCloud 2012) will be held in conjunction with SuperComputing'12, in Salt Lake City, Utah
- Guest Editors’ Introduction: Special Issue on Data-Intensive Computing in the Clouds
- 10 full papers accepted for publication,
to appear in the March 2012 Issue
- An Evaluation of the Cost and Performance of Scientific Workflows on Amazon EC2
- Language and Runtime Support for Automatic Configuration and Deployment of Scientific Computing Software over Cloud Fabrics
- iMapReduce: A Distributed Computing Framework for Iterative Computation
- VMMB: Virtual Machine Memory Balancing for Unmodified Operating Systems
- Cloud Resource Usage - Heavy Tailed Distributions Invalidating Traditional Capacity Planning Models
- Performance Evaluation of Range Queries in Key Value Stores
- Digital Preservation in Grids and Clouds: A Middleware Approach
- City on the Sky: Flexible, Secure Data Sharing on the Cloud
- Bayesian Cognitive Model in Scheduling Algorithm for Data Intensive Computing
- iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator
- 26 full paper submissions received
- Deadline Extension to August 16th, 2011
- The Second International Workshop on Data Intensive Computing in the Clouds (DataCloud-SC11) 2011, co-located at Supercomputing/SC 2011, November 14th, 2011
- 4th Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS) 2011, co-located at Supercomputing/SC 2011, November 14th, 2011
Overview
Applications and experiments in all areas of science are becoming
increasingly complex and more demanding in terms of their computational
and data requirements. Some applications generate data volumes reaching
hundreds of terabytes and even
petabytes. As scientific applications become more data intensive, the
management of data resources and dataflow between the storage and
compute resources is becoming the main bottleneck. Analyzing,
visualizing, and disseminating these large data sets has become a major
challenge and data intensive computing is now considered as the "fourth
paradigm" in scientific discovery after empirical, theoretical, and
computational scientific approaches.
The Special Issue on Data Intensive Computing in the Clouds will provide
the scientific community a dedicated forum, within the prestigious
Springer Journal of Grid Computing, for presenting new research,
development, and deployment efforts in running data-intensive computing
workloads on Cloud Computing infrastructures. This special issue will
focus on the use of cloud-based technologies to meet the new data
intensive scientific challenges that are not well served by the current
supercomputers, grids or compute-intensive clouds. We believe this venue
will be an excellent place to help the community define the current
state, determine future goals, and present architectures and services
for future clouds supporting data intensive computing.
Topics
- Data-intensive cloud computing applications, characteristics, challenges
- Case studies of data intensive computing in the clouds
- Performance evaluation of data clouds, data grids, and data centers
- Energy-efficient data cloud design and management
- Data placement, scheduling, and interoperability in the clouds
- Accountability, QoS, and SLAs
- Data privacy and protection in a public cloud environment
- Distributed file systems for clouds
- Data streaming and parallelization
- New programming models for data-intensive cloud computing
- Scalability issues in clouds
- Social computing and massively social gaming
- 3D Internet and implications
- Future research challenges in data-intensive cloud computing
Important Dates
- Papers Due: July 15, 2011 August 16, 2011
- First Round Decisions: October 15, 2011
- Major Revisions if needed: November 15, 2011
- Second Round Decisions: December 15, 2011
- Minor Revisions if needed: January 15, 2012
- Final Decision: February 1, 2012
- Publication Date: April 2012
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 final papers (PDF format) must be submitted online at http://grid.edmgr.com/ before the extended deadline of August 16th, 2011 at 11:59PM PST. For any questions on the submission process, please email the guest editors at [email protected].
Organization
Special Issue Guest Editors
- Tevfik Kosar ([email protected]), University at Buffalo
- Ioan Raicu ([email protected]), Illinois Institute of Technology & Argonne National Laboratory
- Peter Kacsuk, Hungarian Academy of Sciences
- Ian Foster, University of Chicago & Argonne National Laboratory
Papers
- Tevfik Kosar, Ioan Raicu. "Guest Editors’ Introduction: Special Issue on Data-Intensive Computing in the Clouds", Journal of Grid Computing, Special Issue on Data Intensive Computing in the Clouds, 2011
- Gideon Juve, Ewa Deelman, G. Bruce Berriman, Benjamin P. Berman, Philip Maechling. "An Evaluation of the Cost and Performance of Scientific Workflows on Amazon EC2", Journal of Grid Computing, Special Issue on Data Intensive Computing in the Clouds, 2011
- Chris Bunch, Brian Drawert, Navraj Chohan, Chandra Krintz, Linda Petzold, Khawaja Shams. "Language and Runtime Support for Automatic Configuration and Deployment of Scientific Computing Software over Cloud Fabrics", Journal of Grid Computing, Special Issue on Data Intensive Computing in the Clouds, 2011
- Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang. "iMapReduce: A Distributed Computing Framework for Iterative Computation", Journal of Grid Computing, Special Issue on Data Intensive Computing in the Clouds, 2011
- Changwoo Min, Inhyeok Kim, Taehyoung Kim, Young Ik Eom. "VMMB: Virtual Machine Memory Balancing for Unmodified Operating Systems", Journal of Grid Computing, Special Issue on Data Intensive Computing in the Clouds, 2011
- Charles Loboz. "Cloud Resource Usage - Heavy Tailed Distributions Invalidating Traditional Capacity Planning Models", Journal of Grid Computing, Special Issue on Data Intensive Computing in the Clouds, 2011
- Pouria Pirzadeh, Junichi Tatemura, Oliver Po, Hakan Hacigumus. "Performance Evaluation of Range Queries in Key Value Stores", Journal of Grid Computing, Special Issue on Data Intensive Computing in the Clouds, 2011
- Peter Wittek, Saandor Daranyi. "Digital Preservation in Grids and Clouds: A Middleware Approach", Journal of Grid Computing, Special Issue on Data Intensive Computing in the Clouds, 2011
- Dinh Tien Tuan Anh, Wang Wenqiang, Anwitaman Datta. "City on the Sky: Flexible, Secure Data Sharing on the Cloud", Journal of Grid Computing, Special Issue on Data Intensive Computing in the Clouds, 2011
- Wei Wang, Guosun Zeng. "Bayesian Cognitive Model in Scheduling Algorithm for Data Intensive Computing", Journal of Grid Computing, Special Issue on Data Intensive Computing in the Clouds, 2011
- Alberto Nunez, J.L. Vazquez Poletti, A. C. Caminero, Gabriel G. Castane, J. Carretero, I. M. Llorente. "iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator", Journal of Grid Computing, Special Issue on Data Intensive Computing in the Clouds, 2011