2nd International Workshop on Scalable Computing For Real-Time Big Data Applications (SCRAMBL'15)
held in conjunction with CCGrid'15 in Shenzhen, China, May 4-7, 2015
Conference page: http://volga.usc.edu/scrambl/
Submission page: https://www.easychair.org/
------------------------------
DESCRIPTION:
The continuous growth of our society has led 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 the last year’s workshop, this edition 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'15 is co-located with the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2015) and will take place on May 4, 2015 in Shenzhen, China.
We intend to have one distinguished invited speaker to set the broader picture and share his/hers experience in scalable computing for real-time big data applications.
High rated papers will be considered for publication in a top tier international ISI journal. Updates on the journal and the submission deadlines will follow in next CFPs.
------------------------------
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)
-Big Data placement, scheduling, and optimization
* Real-time Big Data Applications and Usecases
-Big Data in-use and challenges
-Big Data mining and analytics
-Big Data visualization and interactive mining
* Security & Privacy Aspects
-Trust and risk in Big Data
-Security in scalable architectures
-Access control to computing resources and data
* Energy Efficiency
-Energy efficient scalable architectures
-Energy aware data storage and real-time computation
------------------------------
WORKSHOP ORGANIZATION (alphabetically)
the list will be updated as new members join:
Co-chairs:
* Charalampos Chelmis, University of Southern California, USA
* Marc Frincu, University of Southern California, USA
* Bogdan Nicolae, IBM Research, Ireland
Program Committee (TBU as new members are added):
* Albert Bifet, University of Waikato, New Zeeland
* Charalampos Chelmis, University of Southern California, USA
* Marc Frincu, University of Southern California, USA
* Bogdan Nicolae, IBM Research, Ireland
* Viktor Prasanna, University of Southern California, USA
* Ioan Raicu, Illinois Institute of Technology, USA
* Shadi Ibrahim, INRIA, France
* Yogesh Simmhan, Indian Institute of Sciences, India
* Yinglong Xia, IBM T.J. Watson Research Center, USA
------------------------------
IMPORTANT DATES:
Paper submission deadline: 01/23/2015
Acceptance/rejection notification: 03/05/2015
Camera-ready version due: 03/20/2015 (hard deadline)
Workshop date: 05/04/2015
------------------------------
PAPER SUBMISSION GUIDELINES:
SCRAMBL'15 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:
* Research papers (up to 6 pages)
* Real-world use cases papers (up to 6 pages)
* Position papers (short papers up to 4 pages)
* Outrageous ideas (up to 2 pages)
Authors are invited to submit papers formatted according to the 2-column IEEE format (http://datasys.cs.iit.edu/
held in conjunction with CCGrid'15 in Shenzhen, China, May 4-7, 2015
Conference page: http://volga.usc.edu/scrambl/
Submission page: https://www.easychair.org/
------------------------------
DESCRIPTION:
The continuous growth of our society has led 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 the last year’s workshop, this edition 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'15 is co-located with the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2015) and will take place on May 4, 2015 in Shenzhen, China.
We intend to have one distinguished invited speaker to set the broader picture and share his/hers experience in scalable computing for real-time big data applications.
High rated papers will be considered for publication in a top tier international ISI journal. Updates on the journal and the submission deadlines will follow in next CFPs.
------------------------------
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)
-Big Data placement, scheduling, and optimization
* Real-time Big Data Applications and Usecases
-Big Data in-use and challenges
-Big Data mining and analytics
-Big Data visualization and interactive mining
* Security & Privacy Aspects
-Trust and risk in Big Data
-Security in scalable architectures
-Access control to computing resources and data
* Energy Efficiency
-Energy efficient scalable architectures
-Energy aware data storage and real-time computation
------------------------------
WORKSHOP ORGANIZATION (alphabetically)
the list will be updated as new members join:
Co-chairs:
* Charalampos Chelmis, University of Southern California, USA
* Marc Frincu, University of Southern California, USA
* Bogdan Nicolae, IBM Research, Ireland
Program Committee (TBU as new members are added):
* Albert Bifet, University of Waikato, New Zeeland
* Charalampos Chelmis, University of Southern California, USA
* Marc Frincu, University of Southern California, USA
* Bogdan Nicolae, IBM Research, Ireland
* Viktor Prasanna, University of Southern California, USA
* Ioan Raicu, Illinois Institute of Technology, USA
* Shadi Ibrahim, INRIA, France
* Yogesh Simmhan, Indian Institute of Sciences, India
* Yinglong Xia, IBM T.J. Watson Research Center, USA
------------------------------
IMPORTANT DATES:
Paper submission deadline: 01/23/2015
Acceptance/rejection notification: 03/05/2015
Camera-ready version due: 03/20/2015 (hard deadline)
Workshop date: 05/04/2015
------------------------------
PAPER SUBMISSION GUIDELINES:
SCRAMBL'15 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:
* Research papers (up to 6 pages)
* Real-world use cases papers (up to 6 pages)
* Position papers (short papers up to 4 pages)
* Outrageous ideas (up to 2 pages)
Authors are invited to submit papers formatted according to the 2-column IEEE format (http://datasys.cs.iit.edu/
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