Big-Data computing and services have received significant attention in recent years. The IEEE BigDataService 2019 aims to provide a forum for researchers and practitioners to exchange innovative ideas, latest research results, and practice experiences and lessons learned. Its major objectives include big-data applications in various domains such as healthcare, business and financing, education and learning, social networks and media, urban and environment, sensors and Internet of things as well as technology aspects of big data computing and services such as computing services and architecture, modeling, data mining and analytics. The conference will be co-located with IEEE SOSE 2019, IEEE MobileCloud 2019 and IEEE DAPPCON 2019.

IEEE BigDataService 2019 will consist of main tracks and special tracks. The conference will include 3 International Workshops of Smart City Big Data Analysis, Big Data in Water Resources, Environment, and Hydraulic from Engineering, and Industry Big Data and Signal Processing. Workshop proposal is due 10/15/2018. 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. Selected papers will be invited for extension and published in journals (SCI-Index).

TOPICS OF INTEREST (INCLUDE BUT NOT LIMITED TO)

    Big Data Foundations
        Foundational theoretical or computational models for big data
        Programming models, theories, and algorithms for big data
        Standards, protocols, and quality assurance for big data
    Big Data Platforms and Technologies
        Innovative, concurrent, and scalable big data platforms
        Data indexing, cleaning, transformation, and curation technologies
        Big data processing frameworks and technologies
        Big data services and application development methods and tools
        Big data quality evaluation and assurance technologies
        Big data system reliability and availability
        Open-source development and technology for big data
        Big Data as a Service (BDaaS) platform and technologies
    Big Data Analytics and Services
        Algorithms and systems for big data search, analytics and visualization
        Artificial Intelligence for big data and based on big data
        Visualization analytics for big data
        Knowledge extraction, discovery, analysis, presentation, and visualization
    Big Data Applications and Experiences
        Innovative big data applications and services in industries and domains e.g. healthcare, finance, insurance, transportation, agriculture, education, environment, multi-media, social networks, urban planning, disaster management, security
        Experiences and case studies of big data applications and services
        Real-world and large-scale practices of big data
    Emerging Topics
        Sensor networks and Internet of Things
        Networking and protocols
        Smart City

    SPECIAL TRACKS

    Special Track on Real-time Big Data Services and Applications
        Models, algorithms, and technologies for real-time big data services and applications
        Experiences, practices and case studies of real-time big data services and applications
    Special Track on Big Data Security, Privacy and Trust
        Models, algorithms and technologies for big data security and integrity
        Practical security and privacy technologies and applications for big data
    Special Track on Big Data and analytics for Healthcare
        Models, algorithms, and technologies of big data for healthcare
        Big data services and applications for healthcare
        Experiences, practices and case studies of big data technologies for healthcare