posted by organizer: hermessenger || 1299 views || tracked by 4 users: [display]

WPBA 2014 : Workshop on Parallel and Distributed Computing for Big Data Applications


When Oct 22, 2014 - Oct 24, 2014
Where Paris
Submission Deadline Sep 1, 2014
Notification Due Sep 22, 2014
Final Version Due Oct 4, 2014

Call For Papers

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




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

- The 2-3 best 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:

Important Dates:

Full Paper submission: September 1, 2014

Notification of acceptance: September 22, 2014

Submission of camera-ready papers: October 4, 2014

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

* 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.

** The best papers published and presented 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. **


Paper submission

Submissions must be in English, 6 pages maximum, following the IEEE formatting guidelines.
The 6-page limit includes references. Formatting Instructions:

All submissions for WPBA 2014 must be done through EasyChair:

Special issue:

- A briefing of the WPBA 2014 special issue will be availabe at:

- Detailed call for papers for the WPBA2014 Special Issue is available at:


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 Brazil
* 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
* Xinyu Que, IBM Research T.J. Watson
* Renato Figueiredo, U. Florida USA


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

Exibindo CFP_WPBA-2014.txt…

Related Resources

ADAH 2017   Advanced Data Analytics in Health
PDP 2018   The 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing
COMPLEX NETWORKS 2017   6th International Conference on Complex Networks and Their Applications
IEEE Big Data 2017   2017 IEEE International Conference on Big Data
SI-SoftMM 2017   Special Issue on Soft Computing Techniques and Applications on MM Data Analyzing Systems-- Springer Journal of Multimedia Tools and Applications
CFC-Data Analytics/Smart Cities 2017   Call for Chapters (Taylor & Francis): Data Analytics Applications for Smart Cities
FGCS-DaSPFog 2017   FGCS Special Issue on New Landscapes of the Data Stream Processing in the era of Fog Computing
DCTA 2017   Data Analytics: Concepts, Techniques and Applications
DependSys 2017   The Third International Symposium on Dependability in Sensor, Cloud, and Big Data Systems and Applications (DependSys 2017)
PDAA 2017   9th International Workshop on Parallel and Distributed Algorithms and Applications