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BigDataService 2022 : IEEE BigDataService 2022

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When Aug 15, 2022 - Aug 18, 2022
Where San Francisco Bay Area
Submission Deadline Apr 15, 2022
 

Call For Papers

Important dates
Abstract submission April 15, 2022
Workshop proposals March 31, 2022
Full paper submission April 29, 2022
Paper acceptance notification June 8, 2022
Camera-ready and registration June 22, 2022
Main conference August 15-18, 2022

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

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