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**** CALL FOR PAPERS ****
SCRAMBL'17:
The 3rd International Workshop on Scalable Computing
For Real-Time Big Data Applications
held in conjunction with CCGrid'17:
The 7th IEEE/ACM International Symposium on Cluster,
Cloud and Grid Computing
Madrin, Spain - May 14-17, 2017
SCRAMBL is a dedicated workshop to present and discuss leading
research results, use cases, innovative ideas, challenges, and
opportunities that arise from adopting real-time big data analytics at
large scale. System-level researchers and practitioners active in the
area of high performance computing, cloud computing and distributed
systems in general will have an opportunity to understand what
patterns, use cases and challenges arise at application level in the
context of real-time big data analytics, which is of consequence in
the design of the infrastructure and runtime systems. In turn,
application-level researchers will have an opportunity to learn more
about new low-level technologies and runtime system that facilitate
easier design of algorithms, workflows and parallelization. Finally,
an another important category are the use case providers, be they
industrial, government or academia, which will have the opportunity to
learn about the options and feasibility of implementing their desired
real-time big data analytics solution in practice.
SCRAMBL, now at it's third edition is organized in conjunction with
CCGrid, which has traveled the world over, and this year will be held
in May in Madrid, Spain, for the first time. Madrid is the capital of
Spain and gathers a thrilling mix of antique and modern cultures that
is reflected in their environment, monuments, and warm people.
== IMPORTANT DATES ==
Paper submission deadline: 22 January 2017
Paper notification due: 10 February 2017
List of accepted papers due: 14 February 2017
Camera ready papers: 1 March 2017
== SUBMISSIONS ==
Papers should be submitted through Easychair by selecting the relevant
track (3rd International Workshop on Scalable Computing For Real-Time
Big Data Applications) in the overall CCGrid submission system:
We welcome submissions in the form of:
* Outrageous ideas (up to 2 pages)
* Position papers (short papers up to 6 pages)
* Real-world use cases papers (up to 10 pages)
* Research papers (up to 10 pages)
Papers must be formatted according to the 2-column IEEE format used by
They will be part of the proceedings and will be submitted to IEEE
Xplore for publication and EI indexing. Submitted papers must
represent original and unpublished work, that is not currently under
review. All manuscripts will be evaluated according to their
significance, originality, technical content, style, clarity, quality
of presentation, and relevance to the workshop. At least one author
of each accepted paper is expected to attend the workshop.
== TOPICS ==
Submissions relevant to the following topic are welcome:
Scalable models for near real-time cloud based processing
* Data representation and data structures
* Dynamic/temporal data
* Heterogeneous data
* Relational and linked Data
* Semantic integration
* Complex event processing
* Messaging and data flow
* Wokflows/processes
* Scalable algorithms & architectures for real-time cloud based processing
Data extraction, cleaning, processing
* Machine learning
* Reasoning
* Scalable architectures: Grids, Clouds, HPC, Clusters
* Programming paradigms (e.g. MapReduce)
* Big Data placement, scheduling and optimization
* Real-time Big Data applications and use cases
Big Data in-use and challenges
* Big Data mining and analytics
* Big Data visualization and interactive mining
== ORGANIZATION ==
Co-chairs:
Charalampos Chelmis, University at Albany, USA
Marc Frincu, West University of Timisoara, Romania
Bogdan Nicolae, Huawei European Research Center, Germany
Program Committee:
Teodora Sandra Buda, IBM, Ireland
Shadi Ibrahim, INRIA, France
Florin Pop, Polytechnic University Bucharest, Romania
Radu Prodan, University of Innsbruck, Austria
Romain Rouvoy, Universite Lille 1 and INRIA, France
Jose Vazquez-Poletti, Universidad Complutense de Madrid, Spain
Yinglong Xia, Huawei Research America, USA
Vladimir Vlassov, KTH Royal Institute of Technology, Sweden
Gabriel Antoniu, INRIA, France
Alexandru Uta, Vrije Universiteit Amsterdam, Netherlands
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