[hpc-announce] [CFP Deadline Extended: 25th Feb] SCRAMBL at CCGrid'19: The 4th International Workshop on Scalable Computing For Real-Time Big Data Applications

Bogdan Nicolae bogdan.nicolae at gmail.com
Mon Feb 18 13:18:04 CST 2019


**** CALL FOR PAPERS ****

                                   SCRAMBL'19:
      The 4th International Workshop on Scalable Computing
                   For Real-Time Big Data Applications

                   held in conjunction with CCGrid'19:
      The 9th IEEE/ACM International Symposium on Cluster,
                         Cloud and Grid Computing

              Lacarna, Cyprus - May 14-17, 2019
          https://sites.google.com/site/scramblworkshop/

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 fourth edition is organized in conjunction with
CCGrid, which has traveled the world over, and this year will be held
in May in Lacarna, Cyprus. Larnaca is known for its palm-tree seafront
and has a hrilling mix of antique and modern  cultures that is reflected in
their environment, warm people and monuments, such as the Church of Saint
Lazarus, Hala Sultan Tekke, Kamares Aqueduct, and Larnaca Castle. It is built
on the ruins of ancient Citium, which was the birthplace of Stoic philosopher
Zeno.

== IMPORTANT DATES ==

Paper submission deadline: 25 February 2019
Paper notification due: 20 March 2019
Camera ready papers: 1 April 2019

== SUBMISSIONS ==

Papers should be submitted through Easychair by using the following link:
https://easychair.org/conferences/?conf=scrambl19

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
CCGrid: http://cloud.siat.ac.cn/ccgrid2015/files/IEEECS_confs_LaTeX.zip.
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 Data Management and Access Models
  * Data representation and data structures
  * Data ingestion
  * Dynamic/temporal data
  * Heterogeneous data
  * Sliding windows, historic access
  * Relational and linked data
  * Complex event processing

Scalable Algorithms & Architectures
  * Data extraction, cleaning, processing
  * Scalable architectures: Grids, Clouds, HPC, Clusters
  * Programming paradigms (e.g. stream processing)
  * Big Data placement, scheduling and optimization
  * Mixing batch jobs with on-demand, real-time jobs
  * Online data analytics during HPC simulations

Real-time Big Data Applications and Use Cases
  * Big Data analytics
  * Big Data visualization and interactive mining
  * Online machine learning
  * HPC experimental steering
  * IoT and fog computing

== ORGANIZATION ==

Co-chairs:

Bogdan Nicolae, Argonne National Laboratory, USA
Charalampos Chelmis, University at Albany, USA
Marc Frincu, West University of Timisoara, Romania

Program Committee:

Alexandru Costan, INRIA Rennes, France
Alexandru Uta, Vrije Universiteit, Netherlands
Aparna Chandramowlishwaran, University of California Irvine, USA
Orcun Yildiz, Argonne National Laboratory, USA
Romain Rouvoy, University of Lille, France
Florin Pop, Politehnica University Bucharest, Romania
Radu Prodan, University of Klagenfurt, Austria
Carlos Costa, IBM Research, USA
Ana Gainaru, Vanderbilt University, USA


More information about the hpc-announce mailing list