[hpc-announce] Special issue of Concurrency and Computation: Practice and Experience on Parallel and Distributed Processing for BigData Applications
Hermes Senger
senger.hermes at gmail.com
Sun Jan 4 21:00:27 CST 2015
We would like to remind that this special issue of Concurrency and
Computation: Practice and Experience is accepting submission until
January 31th, 2015. Besides extended versions of the best papers
published at the WPBA 2014, regular submissions also will be considered.
The CFP is available at
http://www.cc-pe.net/journalinfo/issues/2014.html#WPBA2014
===========================================
This issue is open for submissions, including (but not limited to)
extended high-quality papers presented at Workshop on Parallel and
Distributed Computing for Big Data Applications
Call for Papers
Concurrency and Computation: Practice and Experience
(http://www.cc-pe.net/)
Special Issue with the best papers of the “Workshop on Parallel and
Distributed Computing for Big Data Applications - WPBA 2014”
http://www.cc-pe.net/journalinfo/issues/2014.html#WPBA2014
Scope
Nowadays, the abundance of data is changing from the way companies make
business to the way governments take many decisions, from the way
science is made in several knowledge areas to the way many individuals
take daily decisions such as where to go or how to buy.
During the last decade, tools and techniques emerged to support massive
offline analysis of web scale datasets on many thousands of computers
working as a single facility. However, the total amount of digital data
being produced, stored, and transmitted around the world is growing
exponentially. The wide diversity of data sources and formats (data
variety) cannot be handled by traditional systems and techniques,
raising new data management challenges. In many areas, applications need
to collect data and produce answers with high frequency or low latency,
e.g. to raise some alarm or take a decision within a few milliseconds.
Furthermore, in scalable environments with hundreds or thousands of
components, surviving to frequent failures is mandatory. Analytic
processing and knowledge discovery in such scenarios demand scalable and
efficient algorithms, able to handle the complexity and variety of data
even under specific constraints (e.g., energy consumption, available
memory, computational power, and networking capacity). Furthermore,
sensor networks and the Internet-of-Things open new perspectives in
terms of the amount and complexity of data to be managed.
Topics of interests include, but are not limited to novel techniques,
algorithms, and tools for collecting, storage, processing, mining and
analysis of low latency big data in reliable and scalable computing
environments:
• Scalability and elasticity in big data environments
• Fault-tolerance in big data environments
• Security and privacy in big data environments
• Reliability in big data environments
• Data streams processing techniques and systems
• Complex event processing
• Big data applications
• Energy efficiency and big data
• Scientific workflows for big data
• Programming models, including MapReduce, extensions, and new models
• Algorithms for big data analytics and data mining
• Management of big data on the cloud
• Big data tools, services, and infrastructures on clouds
• HPC clouds for big data
• Performance analysis of big data environments and applications
• Big data benchmarks
• Challenges in big data storage and processing
• Scheduling and resource management in big data environments
• Large data stream processing systems and infrastructures
• Data-intensive computing on hybrid infrastructures (e.g., clusters,
clouds, grids, P2P)
• Implementation and optimizations for heterogeneous architectures
• Implementation and optimizations for specialized architectures
• Performance evaluation and optimization
• Characterization of big data workloads
Instructions for Manuscripts
The submitted papers must be original and must not be under
consideration in any other venue. This special issue will be based on
invitations to be sent for the best papers published at WPBA 2014. All
submitted papers will be reviewed by at least three reviewers and
selected based on their originality, significance, relevance, and
clarity of presentation. The submitted papers must have at least 30%
difference from the conference original papers. The editors will approve
final decisions on accepted papers. Manuscripts should not exceed 16
pages in length and must be prepared for publication according to the
following journal’s Author Guidelines:
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)15320634/homepage/ForAuthors.html.
Wiley has Latex templates but no special templates for Word. Either
Latex OR Word accepted.
Important dates
- Submission deadline: January 31, 2015 to
Manuscript Central
- First round review: April 30, 2015
- Submission deadline for revised versions of the manuscripts: May 15, 2015
- Final decision: June 1, 2015
- Tentative Electronic Publication: four months after all final
papers submitted
Guest Editors
Prof. Hermes Senger
Department of Computer Science
Federal University of Sao Carlos, Brazil
E-mail: hermes at dc.ufscar.br
Prof. Claudio Geyer
Federal University of Rio Grande do Sul, Brazil
E-mail: geyer at inf.ufrgs.br
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