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[Big Data 2014] 2014 Big Data Workshop CFP

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Big Data Workshop 2014: The 2nd International Workshop on Big Data

Location: Shanghai, China, October 10 - 12, 2014

Co-Sponsored by:
IEEE Computer Society (Technically Co-sponsored)
IEEE Technical Committee on Simulation
IEEE CS Task Force on Networked Mobile Systems
Beijing Jiaotong University, China
University of Louisville, USA

Patrons: AT&T, InfoBeyond, Pivotal, RainStor and Huawei

Important Dates
May 15, 2014 - Conference Paper Submission Deadline
June 15, 2014 - Notification of Acceptance/Rejection & Registration Starts
August 1, 2014 - Camera-Ready Paper Submission Due & Registration Due
Contact:
For more information about the conference, please visit www.CyberC.org  or 
contact us at Papers@CyberC.org. 

Big Data recently has become a new ubiquitous term to describe large 
datasets that are challenging to store, search, share, visualize, and 
analyze. Effective management and analysis of the Big Data would bring 
great benefits and unique opportunities to the users. However, the 
conventional methods are limited on providing desirable operations on Big 
Data. The Big Data workshop 2014 (BigData 2014) is to promote research 
works in this emerging area of Big Data-inspired computing, networks, 
systems, and applications. BigData 2014, held in conjunction with CyberC 
2014, aims to provide a leading forum for sharing and exchanging 
experiences, new ideas, and research results on broad topics of Big Data 
Research, Development, and Applications. It solicits high quality papers 
that illustrate novel Big Data models, architecture and infrastructure, 
management, search and processing, security and privacy, applications, 
surveys and industrial experiences. 

Authors of Big Data workshop 2014 are promoted to freely enjoy CyberC 2014 
and Big Data Summit. Both of the events are co-sponsored and participated 
by several Big Data related industry companies.
Authors are cordially invited to submit original research papers in any 
aspects of Big Data with emphasis on but are not limited to the following 
topics: 

Big Data Theory and Foundation
•	Theoretical and Computational Models for Big Data
•	Information Quantitative and Qualitative for Big Data
•	Theories and Methodologies for Big Data Processing 
•	Architectures and Designs of Big Data Processing Systems

Big Data Infrastructure
•	Cloud/Grid/Stream Computing for Big Data
•	High Performance/Parallel Computing Platforms for Big Data
•	System Architectures, Platforms, Design, and Deployment for Big 
Data
•	Energy-efficient Computing for Big Data
•	Programming Models and Environments for Cluster, Cloud, and Grid 
Computing

Big Data Management
•	Advanced Database and Web Applications for Big Data
•	Data Model and Structure for Big Data
•	Data Preservation and Provenance
•	Interfaces to Database Systems and Analytics Software
•	Data and Information Integration and Fusion for Big Data
•	Data Management for Mobile, Pervasive and Grid Computing
•	Scientific and Social Data Management and Workflow Optimization

Big Data Search and Processing
•	Big Data Search Architecture, Scalability, and Efficiency
•	Algorithms and Architectures for Big Data Search, Mining and 
Processing
•	Search, Store and Process Big Data in Distributed, Grid and Cloud 
Systems
•	Semantic-based Big Data Analytics and Processing
•	Multi-Structured Multi-Domain Big Data Fusion and Integration
•	Ontology Representations and Processing in Big Data
•	Automatic and Machine Learning Methods for Big Data
•	Hadoop and MapReduce based Approaches for Big Data Processing

Big Data Protection, Security and Privacy
•	Threat and Intrusion Detection for High Speed Networks
•	High Performance and Efficiency Data Cryptography
•	Privacy Threats Analysis for Big Data Systems
•	Visualizing Large Scale Security Data
•	Security and Risk in Big Data Processing
•	Trust, Reputation and Recommendation Systems for Big Data Systems
•	Privacy and Security Preservation for Multi-Level Security (MLS) 
Cross-domain Big Data Computing System

Big Data Applications
•	Big Data Applications and Software in Science, Engineering, 
Healthcare, Finance, Business, Transportation, Telecommunications, etc.
•	Big Data Analytics in Small Business Enterprises, Public Sector 
and Government.
•	Big Data Industry Standards
•	Development and Deployment Experiences with Big Data Systems.

Technical Program Committee	
Shared with CyberC 2014 

Submissions
Authors are invited to submit original technical papers to http://edas.info/ 
by selecting “Big Data 2014”. 
Electronic submission to papers@cyberc.org with title of Big Data 2014 
Submission is also accepted.
Please DO NOT submit both ways. 

Publications
All accepted and presented papers, including the workshops’ papers, 
will be published by IEEE Computer Society's Conference Publishing Services 
(CPS) and are included in the IEEE Xplore database. They will further 
arranged for indexing through IEE INSPEC, EI (Compendex), and Thomson ISI. 
Authors of accepted papers, or at least one of them, should register and 
present their work at the conference, otherwise their papers will be removed 
from the digital libraries of IEEE Xplore and EI after the conference..

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[Big Data 2014] 2014 Big Data Workshop CFP Big Data 2014 <papers@cyberc.org> - 2014-05-01 12:30 -0400

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