DESCRIPTION:

The continuous growth of our society has lead to complex systems of behavior and also to the need to optimize certain aspects of our day to day activities. Time sensitive applications such as real time power management for smart grids, traffic control or network monitoring require on demand large scale information processing and real time responses. The data these applications gather on a regular basis from monitoring sensors exceeds the normal storage and capacity power of normal machines or even clusters. In addition, the complexities arising from handling large relational datasets include but are not limited to data heterogeneity (i.e. variability), data quality (missing/approximate), data temporality (i.e. high-velocity), data volume or data streaming. Traditional computing platforms and even storage/processing models cannot simultaneously address these efficiently. Advances in the state of art in scalable computing platforms such as clouds, offer an ideal environment for showcasing and advancing methods for modeling, management, mining and analysis of real-time big data. At the same time novel models that take into account all these complexities need to be designed on top of these scalable systems.

This workshop aims at providing a venue for designers, practitioners, researchers, developers, and industrial/governmental partners to come together, present and discuss leading research results, use cases, innovative ideas, challenges, and opportunities that arise from real-time big data applications.

SCRAMBL'14 is co-located with the 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2014) and will take place on May 26, 2014.

We intend to have one invited speaker to set the broader picture and share their experience in scalable computing for real-time big data applications.


TOPICS OF INTEREST:

Topics of interests include but are not limited to novel techniques for addressing modeling, storage, processing, mining and analysis real-time big data in secure scalable computing environments:

* Scalable Models
-Data representation and data structures
-Dynamic/temporal data
-Heterogeneous data
-Relational
-Linked Data
-Semantic integration
-Complex event processing
-Messaging and data flow
-Wokflows/processes

* Scalable Algorithms & Architectures
-Data extraction, cleaning, processing
-Machine learning
-Reasoning
-Scalable architectures: Grids, Clouds, HPC, Clusters
-Programming paradigms (e.g. MapReduce)

* (Real-time) Big Data Applications and Usecases

* Security & Privacy Aspects


WORKSHOP ORGANIZATION (alphabetically):

Co-chairs:
* Charalampos Chelmis, University of Southern California, USA
* Marc Frincu, University of Southern California, USA
* Bogdan Nicolae, IBM Research, Ireland

Steering Committee:
* Viktor Prasanna, University of Southern California, USA
* Yogesh Simmhan, Indian Institute of Sciences, India
* Yinglong Xia, IBM T.J. Watson Research Center, USA

Program Committee:
* Albert Bifet, University of Waikato, New Zeeland
* Charalampos Chelmis, University of Southern California, USA
* Marc Frincu, University of Southern California, USA
* Danny Lange, Microsoft Research, USA
* Adrien Lèbre, Ecole des Mines, France
* Bogdan Nicolae, IBM Research, Ireland
* Anand Panangadan, University of Southern California, USA
* Viktor Prasanna, University of Southern California, USA
* Ioan Raicu, Illinois Institute of Technology, USA
* Ibrahim Shadi, INRIA, France
* Yogesh Simmhan, Indian Institute of Sciences, India
* Yinglong Xia, IBM T.J. Watson Research Center, USA
* Liang Zhang, LinkedIn, USA
* Tao Zhu, Twitter, USA

PAPER SUBMISSION GUIDELINES:

SCRAMBL'14 is a half day workshop conducted in a highly interactive manner. We envisage two presentations sessions followed by a general discussion. In addition to regular research papers, we accept real-world use cases and position papers to stimulate discussions including practitioners. Further, we will accept outrageous ideas statements, which may highlight controversial topics or visionary ideas, to further foster discussions.

Particularly, 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)

Authors are invited to submit papers formatted according to the 2-column IEEE format (http://datasys.cs.iit.edu/events/CCGrid2014/IEEECS_confs_LaTeX.zip), via EasyChair (https://www.easychair.org/conferences/?conf=scrambl2014). The review process will not be blind, therefore it is not necessary for submissions to be anonymized. Submitted manuscripts should not exceed 10 letter-size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings. Submissions not conforming to these guidelines or received after the due date will be returned without review. For the final camera-ready version, authors with accepted papers may purchase additional pages at the following rates: 100 USD for each of the first two additional pages; 200 USD for each of the third and fourth additional pages. 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.