[hpc-announce] CFP - Workshop on Parallel and Distributed Computing for Big Data Applications (WPBA 2014)

[Hermes Senger]

Please accept our apologies if you receive multiple copies of this CFP.


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CALL FOR PAPERS


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INTERNATIONAL WORKSHOP ON PARALLEL AND DISTRIBUTED COMPUTING FOR BIGDATA 
APPLICATIONS - WPBA 2014


http://wpba2014.dc.ufscar.br/


In conjunction with SBAC-PAD 2014, Paris, France - October 22-24, 2014

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Important Dates:


     Full Paper submission: August 10, 2014

     Notification of acceptance: September  6, 2014

     Submission of camera-ready papers: September 26, 2014


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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:

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    Scalability and elasticity in big data environments

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    Fault-tolerance in big data environments

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    Security and privacy in big data environments

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    Reliability in big data environments

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    Data streams processing techniques and systems

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    Complex event processing

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    Big data applications

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    Energy efficiency and big data

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    Scientific workflows for big data

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    Programming models, including MapReduce, extensions, and new models

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    Algorithms for big data analytics and data mining

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    Management of big data on the cloud

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    Big data tools, services, and infrastructures on clouds

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    HPC clouds for big data

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    Performance analysis of big data environments and applications

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    Big data benchmarks

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    Challenges in big data storage and processing

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    Scheduling and resource management in big data environments

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    Large data stream processing systems and infrastructures

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    Data-intensive computing on hybrid infrastructures (e.g., clusters,
    clouds, grids, P2P)

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    Implementation and optimizations for heterogeneous architectures

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    Implementation and optimizations for specialized architectures

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    Performance evaluation and optimization


Accepted papers will be published by the ACM International Conference 
Proceedings Series - ICPS and disseminated through electronic channels, 
specifically, the ACM Digital Library (approval pending).


Best papers published and presented at the workshop may be invited to 
submit an extended version for publication in an good quality 
International Journal (approval pending).


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      Paper submission


Papers of no more than 6 pages must be formatted for submission 
according to ACM proceedings template (Alternate style). Latex and word 
templates can be downloaded 
here:http://www.acm.org/sigs/publications/proceedings-templates.


All submissions must be done through 
EasyChair:https://www.easychair.org/conferences/?conf=wpba2014.



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Organizing Committee


Claudio Geyer  (UFRGS, Brazil)

Hermes Senger  (UFSCAR, Brazil)

Program committee:


(to be announced):

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Venue


The workshop will be held in conjunction with 26th International 
Symposium on Computer Architecture and High Performance Computing 
(SBAC-PAD 2014), Paris, France.

http://sbac.lip6.fr/2014/index.php




-- 
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Prof. Hermes Senger, Dr.
Computer Science Department
Federal University of São Carlos, Brazil
http://www.dc.ufscar.br/~hermes



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