-------- Original Message -------- Subject: [computational.science] 2st CFP: Journal of Grid Computing, Springer Special Issue on Data Mng. and Min. on Grids and Clouds Date: Tue, 20 Mar 2012 12:05:25 +0100 From: Alfredo Cuzzocrea cuzzocrea@si.deis.unical.it Organization: "ICCSA" To: Computational Science Mailing List computational.science@lists.iccsa.org
Call for Papers
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Journal of Grid Computing (http://www.springer.com/computer/communication+networks/journal/10723), Springer (http://www.springer.com/?SGWID=5-102-0-0-0), Special Issue on "Models and Algorithms for High-Performance Data Management and Mining on Computational Grids and Clouds" (http://si.deis.unical.it/cuzzocrea/JOGC2012/)
Chair
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Alfredo Cuzzocrea (http://si.deis.unical.it/cuzzocrea/), ICAR-CNR and University of Calabria, Italy
Aim and Scope
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High-performance data management and mining are well-known resource- and time-consuming activities that have attracted a great deal of interest from the research community. High-performance data management can be reasonably intended as a intermediate step of high-performance data mining activities over large-scale amounts of data, while still keeping unaltered the primary and self-contained focus of achieving effectiveness and efficiency in these task themselves. There exists a wide range of application scenarios where high-performance data management and mining play a critical role. Among these, we recall: prediction of natural disasters, analysis of massive sensor and stream data, scientific computing and e-science, fraud detection, business intelligence, cloud intelligence, and so forth.
In the application scenarios above, the usage of computational Grids and Clouds, which is a well-understood and mature paradigm for computational intelligence whose merits are not only limited to high-performance capabilities, but also they convey to novel amenities falling in the wide range of e-science and scientific computing. All in one, coupling high-performance computational Grids and Clouds with data management and mining activities pursues the goal of creating a successful environment for data management and mining over large-scale amounts of data, which, beyond to the major goal of achieving high-performance during the execution of these activities, embeds a plethora of innovative features, such as: (i) providing scientists with the capabilities of allowing flexibility during the creation of scientific workflows; (ii) enriching data management and mining with relevant benefits, such as automation of analysis processes and dimensionality reduction; (iii) allowing for the capability of obtaining well-defined and well-structured data management and mining activities over large-scale data; (iv) providing problem-solving environments where analysts can re-produce the typical algorithm editing process, with meaningful abstractions on primitives and black-box components.
With these goals in mind, the proposed Journal of Grid Computing (JOGC) special issue will cover theoretical as well as practical aspects of models and algorithms for high-performance data management and mining on computational Grids and Clouds, thus constituting a milestone in Grid and Cloud-focused database and data mining research, with a rare multi-aspect research vision spanning from elegant models and formalisms to effective and comprehensive methodologies and efficient algorithms.
Relevant research areas for the proposed JOGC special issue include, but are not limited to, the following ones:
- foundations of high-performance Grid and Cloud data management and mining;
- high-performance Grid and Cloud data management and mining models;
- high-performance Grid and Cloud data management and mining methodologies;
- high-performance Grid and Cloud data management and mining techniques;
- high-performance Grid and Cloud data management and mining algorithms;
- scalable disk-based models for high-performance Grid and Cloud data management and mining;
- scalable disk-based algorithms for high-performance Grid and Cloud data management and mining;
- multi-core models for high-performance Grid and Cloud data management and mining;
- multi-core algorithms for high-performance Grid and Cloud data management and mining;
- cluster-based models for high-performance Grid and Cloud data management and mining;
- cluster-based algorithms for high-performance Grid and Cloud data management and mining;
- cloud-based models for high-performance Grid and Cloud data management and mining;
- cloud-based algorithms for high-performance Grid and Cloud data management and mining;
- SOA-based models for high-performance Grid and Cloud data management and mining;
- SOA-based algorithms for high-performance Grid and Cloud data management and mining;
- P2P-oriented high-performance Grid and Cloud data management and mining;
- Map-Reduce-based high-performance Grid and Cloud data management and mining;;
- Service-oriented high-performance Grid and Cloud data management and mining;
- high-performance Grid and Cloud data management and mining in innovative contexts like streams, sensors, mobile environments and social networks.
Schedule (Tentative)
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Submission of full papers: May 30, 2012
First decision notification: July 30, 2012
Submission of revised papers: September 30, 2012
Final decision notification: October 30, 2012
Final materials to Springer: December 30, 2012
Estimated publication date: June 2013
Submission Guidelines and Instructions
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All manuscripts will be rigorously refereed by at least three reviewers among people of widely-recognized expertise. Submission of a manuscript to this special issue implies that no similar paper is already accepted or will be submitted to any other conference or journal.
Author guidelines for preparation of manuscript can be found at: http://www.editorialmanager.com/grid/, in the section "Instructions for Authors".
All manuscripts and any supplementary material should be submitted through Springer Editorial Manager. Authors must select "Special Issue: High-Perf. Data Mng. and Min. on Grids and Clouds" when they reach the "Article Type" step in the submission process. The Springer Editorial Manager Web site for JOGC is available at: http://www.editorialmanager.com/grid/
For more information and any inquire, please contact Alfredo Cuzzocrea (http://si.deis.unical.it/~cuzzocrea/) at cuzzocrea@si.deis.unical.it