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Evento: 'FGCS Special Issue on "Scalable Workflow Enactment Engines and Technologies"'

Call for Papers
Divulgação de "Call for Papers".
Data: Saturday, February 01, 2014 At 08:00
Duração: Todo dia

FGCS Special Issue Call for Papers (Due on February 1, 2014)

Future Generation Computer Systems (FGCS) Special Issue on
"Scalable Workflow Enactment Engines and Technologies"

URL: http://sites.google.com/site/sweetworkshop2013/fgcs-special-issue-2013

Important Dates

Submission due date: February 1, 2014
First Round Review notification: May 1, 2014
Revision Submission due date: June 15, 2014
Notification of acceptance: September 15, 2014
Camera Ready submission due date: November 1, 2014
Publication: Fourth quarter of 2014 (tentative)

Scope and Objective

The original idea for the Scalable Workflow Enactment Engines and Technologies (SWEET) workshop comes from the observation that rapid progress in models and patterns for cloud computing is facilitating a new generation of hybrid database / workflow systems for addressing large data processing problems in a salable way. The collection of papers and talks from SWEET has so far confirmed that such hybrids are emerging not only in e-science but also for Web-scale data processing at like Google, Yahoo, and Twitter. At the same time it confirms the robust research on core workflow features, including scheduling, distributed engines such as OSIRIS-SR, and workflows for HPC architectures.

With this in mind, the goal of this special issue is to foster this progress through high quality research in methods, theories, techniques and tools for advancing the Scalable Workflow Enactment Engines and Technologies. Original research articles are solicited in all aspects including architectures, optimization, verification and validation, interfaces and applications of scalable data intensive workflows. All submitted papers will be peer-reviewed and selected on the basis of both their quality and their relevance to the theme of this special issue.

Topics of Interest
This special issue calls for original papers describing the latest developments, trends, and solutions on Scalable Workflow Enactment Engines and Technologie. The following is a non-exhaustive list of topics in focus of this special issue:

Architectures and performance:
- architectures for data processing pipelines, data-intensive workflows, DAGs of MapReduce jobs, dataflows, and data-mashups,
- cloud-based, salable workflow enactment, efficient data storage for data-intensive workflows,
- optimizing execution of data-intensive workflows,. workflow scheduling in cloud computing.

Modelling for performance as well as usability:
- languages for data processing pipelines, data-intensive workflows, dataflows, and data-mashups,
- verification and validation of data-intensive workflows,
- programming models for cloud computing,
- access control and authorization models, privacy, security, risk and trust issues,
- workflow patterns for data-intensive workflows,
- interfaces for supporting the design and debugging of complex data processing pipelines and workflows,
- tools for supporting communities for exchanging data-processing pipelines and workflows.

Additionally, we are interested in applications of cloud-based workflows in:
- big data analytics,
- bioinformatics,
- data mashups,
- semantic web data management,
- data-driven journalism.
Paper Submission

Prospective authors are invited to submit their papers directly via the FGCS submission web site at http://ees.elsevier.com/fgcs/login.asp
(please select the item SI: SWEET 2013).

Each paper for submission should be formatted according to the style and length limit of the Future Generation Computer Systems. Papers must not have appeared or under review elsewhere. Please refer to the complete Author Guidelines at http://www.journals.elsevier.com/future-generation-computer-systems

Guest Editors

Jan Hidders,
TU Delft, The Netherlands (a.j.h.hidders@tudelft.nl)

Paolo Missier,
Newcastle University, UK (Paolo.Missier@ncl.ac.uk)

Jacek Sroka,
University of Warsaw, Poland (j.sroka@mimuw.edu.pl)

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