IEEE BIGDATASERVICE 2017

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