CALL FOR PAPERS
------------------------------
INTERNATIONAL WORKSHOP ON PARALLEL AND DISTRIBUTED COMPUTING FOR BIGDATA
APPLICATIONS - WPBA 2014
- In conjunction with SBAC-PAD 2014, Paris, France - October 22-24, 2014
- The best 2-3 papers published at the workshop will be invited to
submit an extended version for publication in a special issue of the
journal Concurrency and Computation Practice and Experience.
- Website:
http://wpba2014.dc.ufscar.br/
------------------------------
Important Dates:
Full Paper submission: August 17, 2014
Notification of acceptance: September 13, 2014
Submission of camera-ready papers: September 26, 2014
------------------------------
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
All papers will be published by the IEEE Computer Society Digital Library.
------------------------------
Paper submission
Submissions must be in English, 6 pages maximum, following the IEEE
formatting guidelines.
The 6-page limit includes references. Formatting Instructions:
http://www.ieee.org/conference
All submissions for WPBA 2014 must be done through EasyChair:
https://www.easychair.org/conf
Special issue:
- A briefing of the WPBA 2014 special issue will be availabe at:
http://www.cc-pe.net/journali
- Detailed call for papers for the WPBA2014 Special Issue is available at:
http://wpba2014.dc.ufscar.br/
------------------------------
Organizing Committee
* Claudio Geyer (UFRGS, Brazil)
* Hermes Senger (UFSCAR, Brazil)
Program committee:
* Didier Donsez, LIG France
* Fabricio A.B. da Silva, FIOCRUZ Brazil
* Marco Netto, IBM Research
* Marta Mattoso, UFRJ Brazil
* Mauricio Marin, Yahoo! Chile
* Nelson Ebecken, UFRJ Brazil
* Peter Pietzuch, Imperial College London UK
* Gianpaolo Cugola, Politecnico di Milano
* Navendu Jain, Microsoft Research
* Henrique Andrade, Unscrambl USA
* Bugra Gedik, Bilkent University Turkey
------------------------------
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
--
---
Prof. Hermes Senger, Dr.
Computer Science Department
Federal University of São Carlos, Brazil
http://www.ufscar.br/~hermes
------------------------------
INTERNATIONAL WORKSHOP ON PARALLEL AND DISTRIBUTED COMPUTING FOR BIGDATA
APPLICATIONS - WPBA 2014
- In conjunction with SBAC-PAD 2014, Paris, France - October 22-24, 2014
- The best 2-3 papers published at the workshop will be invited to
submit an extended version for publication in a special issue of the
journal Concurrency and Computation Practice and Experience.
- Website:
http://wpba2014.dc.ufscar.br/
------------------------------
Important Dates:
Full Paper submission: August 17, 2014
Notification of acceptance: September 13, 2014
Submission of camera-ready papers: September 26, 2014
------------------------------
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
All papers will be published by the IEEE Computer Society Digital Library.
------------------------------
Paper submission
Submissions must be in English, 6 pages maximum, following the IEEE
formatting guidelines.
The 6-page limit includes references. Formatting Instructions:
http://www.ieee.org/conference
All submissions for WPBA 2014 must be done through EasyChair:
https://www.easychair.org/conf
Special issue:
- A briefing of the WPBA 2014 special issue will be availabe at:
http://www.cc-pe.net/journali
- Detailed call for papers for the WPBA2014 Special Issue is available at:
http://wpba2014.dc.ufscar.br/
------------------------------
Organizing Committee
* Claudio Geyer (UFRGS, Brazil)
* Hermes Senger (UFSCAR, Brazil)
Program committee:
* Didier Donsez, LIG France
* Fabricio A.B. da Silva, FIOCRUZ Brazil
* Marco Netto, IBM Research
* Marta Mattoso, UFRJ Brazil
* Mauricio Marin, Yahoo! Chile
* Nelson Ebecken, UFRJ Brazil
* Peter Pietzuch, Imperial College London UK
* Gianpaolo Cugola, Politecnico di Milano
* Navendu Jain, Microsoft Research
* Henrique Andrade, Unscrambl USA
* Bugra Gedik, Bilkent University Turkey
------------------------------
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
--
---
Prof. Hermes Senger, Dr.
Computer Science Department
Federal University of São Carlos, Brazil
http://www.ufscar.br/~hermes
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