Conference Information
BigDataService 2022: IEEE International Conference on Big Data Computing Service and Machine Learning Applications
Submission Date:
2022-04-22 Extended
Notification Date:
Conference Date:
San Francisco, California, USA
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Call For Papers
As computing systems become increasingly larger, more complex, distributed, and integrated, Big Data technologies and services are ever more vital. IEEE BigDataService 2022 provides an internationally leading forum for researchers and practitioners in academia and industry to exchange innovative ideas and share latest results, experiences and lessons learned in this crucial domain.

The conference will take place in the San Francisco Bay Area (California, USA) on the 22nd-25th of August 2022, and will consist of a main track and special tracks. The conference also welcomes workshop proposals and seeks the submission of high-quality papers limited to up to 8 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).

BigDataService 2022 is part of the CISOSE 2022 congress, and it will be co-located with IEEE SOSE 2022, IEEE MobileCloud 2022, IEEE DAPPS 2022, and IEEE AITest 2022.

Topics of Interest (but not limited to)

Big Data Analytics and Machine Learning

    Algorithms and systems for big data search and analytics
    Machine learning for big data and based on big data
    Predictive analytics and simulation
    Visualization systems for big data
    Knowledge extraction, discovery, analysis, and presentation

Integrated and Distributed Systems

    Sensor networks
    Internet of Things
    Networking and Protocols
    Smart systems (energy efficient systems, smart homes, smart farms, etc.)

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, dependability, and availability
    Open-source development and technology for big data
    Big Data as a Service (BDaaS) platform and technologies

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 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

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, Trust, and Sustainability

    Models, algorithms and technologies for big data security and privacy
    Attacks and defenses for big data services
    Privacy-preserving processing of big data and Big Data for Security and Privacy Analysis
    Energy-aware big data storage, transfer, and usage
    AI-continuum (e.g., cloud, edge, sensors) for sustainable Big data services 

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 
Last updated by Dou Sun in 2022-04-17
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