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.
Following the success of SCRAMBL over the last two years, 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'16 is co-located with the 22nd International European Conference on Parallel and Distributed Computing (Euro-Par 2016).
Topics of interests include but are not limited to novel techniques for addressing modeling, storage, processing, mining and analysis of real-time big data in secure scalable computing environments:
The goal of SCRAMBL'16 is to be highly interactive. In addition to regular research papers, we accept real-world use cases and position papers to stimulate discussions. We further welcome outrageous ideas statements, which may highlight controversial topics or visionary ideas, to further foster discussions.
Particularly, we welcome submissions in the form of:
Authors are invited to submit papers formatted according to the Springer LNCS stylesheet through the EasyChair Conference System. Authors should select the Workshop on Scalable Computing for Real-Time Big Data Applications track. Accepted long papers (i.e., 12 pages) that are presented at the workshop will be published in revised form in a special Euro-Par Workshop Volume in the Lecture Notes in Computer Science (LNCS) series after the Euro-Par conference. Submissions not conforming to these guidelines or received after the due date will be returned without review. Authors of accepted papers will have the opportunity to purchase additional pages, subject to approval of the Euro-Par 2016 Proceedings chair. 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.
How to Submit:
Manuscripts must be submitted electronically via the online submission system. Authors should select the Workshop on Scalable Computing for Real-Time Big Data Applications track. We do not accept email submissions.
SCRAMBL is a forum for presenting and discussing current research in accelerating Big Data applications. Therefore, at least one author of an accepted paper must complete a regular conference registration and present the paper in the conference, in order for the paper to be included in the program. See Registration page for more information on attending the conference.
We plan to invite extended versions of selected papers presented during the SCRAMBL 2016 workshop for publication in a special issue of the Concurency and Computation: Practice and Experience Journal which is published by the international scientific, technical, medical, and scholarly publishing business of John Wiley & Sons.
The workshop offers a variety of sponsorship opportunities suitable for all range of organizations. Opportunities include complimentary registrations, student travel scholarships and invited speaker travel support. Sponsors of the workshop will gain visibility for their companies, demonstrate support for real-time data analytics research, and contribute to the success of the workshop.
Potential sponsors should contact Dr. Charalampos Chelmis (chelmis_at_usc_dot_edu) with the potential sponsor's contact information including contact person, phone number, email address and level of sponsorship.Note: replace _at_ with @ and _dot_ with . in the contact emails.