Big Data 2018: The 6th International Workshop on Big Data
Big Data recently has become a ubiquitous term to describe large datasets that are challenging to store, search, share, visualize, analyze, and learn. Effective management and analysis of the Big Data would bring great benefits and unique opportunities to the users. However, there are still many open issues for deep investigation. The Big Data workshop 2018 (BigData 2018) is to promote the research in this emerging area of Big Data-intensive computing, algorithms, networks, systems, and applications. BigData 2018, held in conjunction with CyberC 2018, 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 2018 are free for enjoying CyberC 2018 and Summits.
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 FoundationTheoretical 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 InfrastructureCloud/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 ManagementAdvanced 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 ProcessingBig 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 PrivacyThreat 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 ApplicationsBig 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.
Authors are invited to submit original technical papers by http://edas.info/N24728 or login to http://edas.info/ by selecting “Big Data 2018”. Electronic submission to firstname.lastname@example.org with title of “Big Data 2018 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
. 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.
Manuscript submission procedure is available over the Web at http://edas.info/ . We encourage you to use EDAS online submission by selecting “2018 Cybersecurity”. If you have troubles in using the Web submission, you can also submit your paper to email@example.com or contact us. Electronic submissions must be in the form of a readable PDF file.
Submitted manuscripts have to present the original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered.
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 will be published in CyberC 2018 Proceeding by IEEE Computer Society Conference Publishing Services. These papers will be collected in IEEE Xplore and further scheduled to EI, Dblp, Google Scholars, SCOPUS, and other IEEE abstract and index partners (e.g., INSPEC, Thomson Reuters’ Web of Science). You can find our all publications recorded in the past 9 years.
Xiaohui Zhang - InfoBeyond Technology, USA
Technical Program Committee
Jian Guo - Harvard University, USA
Shiyong Lu - Wayne State University, USA
Ioan Raicu - Illinois Institute of Technology, USA
Mike Wilde - University of Chicago, USA
Chen Peng - Google Inc. USA
Chenghui Cai - Opera Solutions LLC, USA
Cui Lin - Hitachi Data System, USA
Zhangxin Lin - Texas Tech University, USA
Dou Shen - Baidu Inc. China
Jingjin Xu - Huawei Corporation, China
Shicong Feng - MiningLamp, China
Jianfeng Zhan - Chinese Academy of Science
Wenjun Wu - Beihang University, China
Jiantong Cao - Beijing University of Posts and Telecommunications, China
Huihua Yang - Beijing University of Posts and Telecommunications, China
Lin Zhang - Beijing University of Posts and Telecommunications, China
Wenhong Tian - University of Electronic Science and Technology of China
Ruini Xue - University of Electronic Science and Technology of China