IEEE Transaction on Emerging Topics in Computing (TETC) seeks original
manuscripts for a Special Issue on *Big Data**.*
CFP Website: http://www.swinflow.org/si/
Big Data consists of datasets that grow so large that they become awkward
to work with using on-hand computer data and computation management tools.
Difficulties include, but are not limited to, capture, storage, search,
sharing, analytics, and visualizing. Working with data sets of increasing
scale allows analysts to "spot business trends, prevent diseases, and
combat crime." Big data size is beyond the ability of commonly used
computer software and hardware tools to capture, manage, and process the
data within a tolerable elapsed time, hence demanding new innovative
solutions. It has attracted a high degree of interdisciplinary interest
internationally. This special issue is focusing on this new strategic
research area to address challenges about big data. Original
andunpublished high-quality research results are solicited to explore
various
challenging topics that include, but are not limited to:
? Big Data theoretical models, standards and theories
? Innovative computer software and hardware architecture for Big
Data processing
? Big Data mining, advanced analytics and visualization
? Large big data stream processing
? Large-scale incremental, distributed and federated datasets
? NoSQL data stores and DB scalability
? Big Data sharing and privacy preserving
? Big Data placement, scheduling, and optimization
? MapReduce and new programming models for Big Data processing
? Cloud Computing, cluster and high performance computing and
storage infrastructure for Big Data
? Performance characterization, evaluation and optimization
? Simulation and debugging of Big Data systems and tools
? Security, privacy, reliability and trust in Big Data
? Volume, Velocity, Variety and Value of Big Data
? Multiple source data processing and integration for Big Data
? Resource scheduling and Service Level Agreement for Big Data
processing
? Distributed file systems, storage and computation management for
Big Data
? Large-scale scientific workflow in support of Big Data processing
? Big data applications such as Medicine, Healthcare, Finance,
Business, Retailing, Transportation and Science.
Submitted articles must not have been previously published or currently
submitted for journal publication elsewhere. Extended versions from
conference papers such as The 2nd IEEE International Conference on Big Data
Science and Engineering (*BDSE2013* -
http://www.swinflow.org/confs/
content. As an author, you are responsible for understanding and adhering
to our submission guidelines. You can access them at the IEEE Computer
Society web site, www.computer.org. Please thoroughly read these before
submitting your manuscript. TETC is the newest Transactions of the IEEE
Computer Society with Open Access only.
Please submit your paper to Manuscript Central at
https://mc.manuscriptcentral.
Please note the following important dates.
? Submission Deadline: November 15, 2013 (extended)
? Reviews Completed: January 15, 2014
? Major Revisions Due (if Needed): February 15, 2014
? Reviews of Revisions Completed (if Needed): March 15, 2014
? Minor Revisions Due (if Needed): April 15, 2014
? Notification of Final Acceptance: May 15, 2014
? Publication Materials for Final Manuscripts Due: May 30, 2014
? Publication date: September 2014
Guest Editors:
Jinjun Chen, University of Technology Sydney, Australia
Surya Nepal, CSIRO Australia
Jian Pei, Simon Fraser University, Canada
Ivan Stojmenovic, University of Ottawa, Canada
manuscripts for a Special Issue on *Big Data**.*
CFP Website: http://www.swinflow.org/si/
Big Data consists of datasets that grow so large that they become awkward
to work with using on-hand computer data and computation management tools.
Difficulties include, but are not limited to, capture, storage, search,
sharing, analytics, and visualizing. Working with data sets of increasing
scale allows analysts to "spot business trends, prevent diseases, and
combat crime." Big data size is beyond the ability of commonly used
computer software and hardware tools to capture, manage, and process the
data within a tolerable elapsed time, hence demanding new innovative
solutions. It has attracted a high degree of interdisciplinary interest
internationally. This special issue is focusing on this new strategic
research area to address challenges about big data. Original
andunpublished high-quality research results are solicited to explore
various
challenging topics that include, but are not limited to:
? Big Data theoretical models, standards and theories
? Innovative computer software and hardware architecture for Big
Data processing
? Big Data mining, advanced analytics and visualization
? Large big data stream processing
? Large-scale incremental, distributed and federated datasets
? NoSQL data stores and DB scalability
? Big Data sharing and privacy preserving
? Big Data placement, scheduling, and optimization
? MapReduce and new programming models for Big Data processing
? Cloud Computing, cluster and high performance computing and
storage infrastructure for Big Data
? Performance characterization, evaluation and optimization
? Simulation and debugging of Big Data systems and tools
? Security, privacy, reliability and trust in Big Data
? Volume, Velocity, Variety and Value of Big Data
? Multiple source data processing and integration for Big Data
? Resource scheduling and Service Level Agreement for Big Data
processing
? Distributed file systems, storage and computation management for
Big Data
? Large-scale scientific workflow in support of Big Data processing
? Big data applications such as Medicine, Healthcare, Finance,
Business, Retailing, Transportation and Science.
Submitted articles must not have been previously published or currently
submitted for journal publication elsewhere. Extended versions from
conference papers such as The 2nd IEEE International Conference on Big Data
Science and Engineering (*BDSE2013* -
http://www.swinflow.org/confs/
content. As an author, you are responsible for understanding and adhering
to our submission guidelines. You can access them at the IEEE Computer
Society web site, www.computer.org. Please thoroughly read these before
submitting your manuscript. TETC is the newest Transactions of the IEEE
Computer Society with Open Access only.
Please submit your paper to Manuscript Central at
https://mc.manuscriptcentral.
Please note the following important dates.
? Submission Deadline: November 15, 2013 (extended)
? Reviews Completed: January 15, 2014
? Major Revisions Due (if Needed): February 15, 2014
? Reviews of Revisions Completed (if Needed): March 15, 2014
? Minor Revisions Due (if Needed): April 15, 2014
? Notification of Final Acceptance: May 15, 2014
? Publication Materials for Final Manuscripts Due: May 30, 2014
? Publication date: September 2014
Guest Editors:
Jinjun Chen, University of Technology Sydney, Australia
Surya Nepal, CSIRO Australia
Jian Pei, Simon Fraser University, Canada
Ivan Stojmenovic, University of Ottawa, Canada
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