IEEE BigDataService 2017

IEEE BIgDataService 2017

The THIRD IEEE INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING SERVICE AND APPLICATIONS

URL: http://big-dataservice.net/

April 6 – APril 8, 2017

San Francisco Bay, California, USA

Call for Paper

BigData Computing and Services are receiving significant attention recently. The IEEE BigDataService 2017 conference provides a platform for researchers and practitioners to exchange innovative ideas, latest research results, as well as practical experience and lessons learnt on this topic. Its major interests include big data applications in various domains such as healthcare, business and financing, education and learning, social networks and media, smart environment, sensors and Internet of Things as well as technology aspects such as computing services and architecture, modeling, data mining and analytics, and databases. The conference will be co-located with IEEE SOSE 2017, IEEE MobileCloud 2017, and IEEE Crowd Sourcing 2017.

IEEE BigDataService 2017 will consist of main tracks and special tracks. The conference will also include the International Workshop on Intelligent Big Data Systems. The conference seeks the submission of high-quality papers limited to 10 pages (IEEE format) in length. All accepted papers will be included in the proceedings.

Topics of Interest

The conference invites papers addressing original research on big data service and their applications. Topics of interest include (but are not limited to) the following:

Computing and Service

Big data scalable computing models, theories, and algorithms

Big data service models, collection, validation, analysis, and visualization

Big data service frameworks, platforms, solutions and tools

Big data computing infrastructures, platforms, and SaaS

Big data computing service businesses, billing, protocols, APIs

Big data-as-a-service (Big DaaS)

Mobile big data computing and services

Big data add-value computing services

Modeling, Sharing Technologies and Platforms

Innovative, concurrent, and scalable big data intelligence analysis

Big data knowledge extraction, discovery, analysis, presentation, and visualization

Big data knowledge integration, merging, migration, and transformation

Big data based reference, ranking, decision making, and prediction

Big data knowledge indexing, classification, sharing, and assembly

Big data knowledge-based open-source development and technology

Big data based knowledge system development and tools

Intelligence and Knowledge Engineering

Big data modeling and banking methods in data indexing, classification, integration, merging, and migration

Big Data DB, CLOUD DB, and NOSQL DB, and Hadoop solutions and technology

Big Data policies, processes and standards in collection, store, accesses, and sharing

Big Data validation, certification, and quality assurance

Big Data sharing and access protocols, methods, processes, and platforms and technologies

Applications

Big data research application and service systems in multi-media and social networking

Big data based energy and environment control, evaluation and management

Big data research applications and service systems in hospitality, tourism, transportation and urban planning

Enterprise, industry and business

Bio-Medical and healthcare services

Process and bioprocess applications

Innovative Applications

Emerging Tracks:

Big Data Sensing and Internet of Things Services

Big Data Networking

Big Data Security

Smart City Big Data

Special Tracks

As mentioned above, IEEE BigDataService 2017 will feature the following special tracks.

Industry Track

Emerging big data platforms for enterprises

Industrial solutions for big data applications

Challenges in adoption of big data technologies

Visionary Track

Creative big data service models and applications

Visionary ideas, long-term challenges, and new research opportunities

International Workshop on Intelligent Big Data Systems (IBDS 2016)

Important Dates:

Workshop proposals submission:

October 1, 2016

Tutorial proposals submission:

October 1, 2016

Full paper submission:

November 14, 2016

Author notification:

December 22, 2016

Camera-ready submission and registration:

January 31, 2017

Conference:

April 6 - April 8, 2017

Paper Submission:

Submit papers in the PDF format via URL below.

https://easychair.org/conferences/?conf=ieeebigdataservice20170.

Paper manuscripts should be prepared following the IEEE Computer Society Press Proceedings Author Guidelines at:

http://www.ieee.org/conferences_events/conferences/publishing/templates.html

Page Limit:

Research Paper: 10 pages (in IEEE Format)

Papers in the class will be evaluated by the relevance, significance, originality, clarity, and technical merit.

Project Experience and Case Study Report: (up to 6 pages)

Papers in this class will be evaluated by the relevance, clarity, and value to the research community

Survey/Tutorial Papers: 10 pages

Papers in this class will be evaluated by the coverage of the up-to-date literature, relevance, soundness, technical validity, insightful discussion, timeliness, well-structure and clarity.

Publication:

All accepted papers will be included in the conference proceedings, which will be published by the IEEE Computer Society Press and included in IEEE Xplore Digital Library with EI-Index. At least one author of each accepted paper must attend the symposium to present the work.

General Conference Chairs:

Taghi M. Khoshgoftaar, Florida Atlantic University, USA (khoshgof@fau.edu)

Jerry Gao, San Jose State University, USA (jerry.gao@sjsu.edu)

Program Committee Chairs:

Simon Shim, San Jose State University, USA (simon.shim@sjsu.edu)

Latifur Khan, University of Texas at Dallas, USA (lkhan@utdallas.edu)

YiFeng Zeng, Teesside University, UK (yifeng.zeng.uk@gmail.com)

Contact:

If you have any questions, please contact: ieeebigdataservice@gmail.com, or jerry.gao@sjsu.edu