Big Data 2013 : The 1st International Workshop on Big Data
Call For Papers
Big Data Workshop is 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
Embedded Pervasive Computing Lab, HUST, China
Patrons: AT&T, InfoBeyond, EMC, Teradata, Comrise, RainStor and Huawei
June 14, 2013 - Conference Paper Submission Deadline
June 15, 2013 (Submission before May 25) - Notification of Acceptance/Rejection & Registration Starts
July 5, 2013 (Submission after May 25)- Notification of Acceptance/Rejection & Registration Starts
August 1, 2013 - Camera-Ready Paper Submission Due & Registration Due
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 operational functions on Big Data. The Big Data workshop 2013 (BigData’13) is to promote research works in this emerging area of Big Data-inspired computing, networks, systems, and applications. BigData’13, held in conjunction with CyberC 2013, aims to provide a leading forum for exchanging and sharing experiences, new ideas, and research results on broad topics on 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 2013 are promoted to freely enjoy CyberC 2013 and Big Data Summits. Both of the events are co-sponsored and participated by a number of industry giants.
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 Design 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 and Store Big Data in Distributed, Grid and Cloud Systems
• Semantic-based Big Data Analytics and Processing
• Multi-Structured Big Data Fusion and Integration
• Ontology Representations and Processing in Big Data
• Machine Learning Methods for Big Data
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 Preservation for Distributed Big Data Computing System
Big Data Applications
• Big Data Applications and Software in Science, Engineering, Healthcare, Finance, Business, Transportation, Telecommunications,
• 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 2013
Authors are invited to submit original technical papers to http://edas.info/ by selecting “Big Data 2013”.
Electronic submission to email@example.com with title of Big Data 2013 Submission is also accepted.
Please DO NOT submit both ways.
All submitted manuscripts should be prepared as technical papers and may not exceed 8 letter size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings (print area of 6-1/2 inches (16.51 cm) wide by 8-7/8 inches (22.51 cm) high, two-column format with columns 3-1/16 inches (7.85 cm) wide with a 3/8 inch (0.81 cm) space between them, single-spaced 10-point Times fully justified text). For more information please see ftp://pubftp.computer.org/Press/Outgoing/proceedings/. The templates in word are:
• Instruct8.5x11x2.doc 254 KB 8/22/2008 12:00:00 AM
• Instruct8.5x11x2.pdf 276 KB 8/22/2008 12:00:00 AM
and that in Latex are:
• IEEE_CS_Latex8.5x11x2.zip 766 KB 11/11/2008 12:00:00 AM
• IEEE_CS_Latex8.5x11x3.zip 874 KB 8/19/2011 9:59:00 AM
Submissions not conforming to these guidelines may be returned without review. The submitted manuscripts can be prepared in Word, or Latex using the IEEE templates, but authors should finally submit the manuscript in PDF format and make sure that the file will print on a printer that uses letter size (8.5 x 11) paper. The official language of the meeting is English.
Manuscripts should present the current research in the areas identified in the call for papers. All submitted manuscripts will be reviewed by experts in the fields and will be judged from the aspects of problem significance, contributions, originality, correctness, technical strength, quality of presentation, and relevance to the conference attendees. Papers will be accepted with Regular Papers and Short Papers with maximal 8 pages and 4 pages in the final version respectively.
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.