<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div class="">*Apologies for cross-postings*</div><div class=""><br class=""></div><div class="">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. </div><div class="">The conference will be held in presence and will take place in Fremont, San Francisco Bay Area (California, USA) on the 15th-18th of August 2022. It 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).</div><div class="">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.</div><div class="">=========================================</div><div class="">TOPICS OF INTEREST (INCLUDING BUT NOT LIMITED TO): </div><div class="">Big Data Analytics and Machine Learning </div><div class="">- Algorithms and systems for big data search and analytics </div><div class="">- Machine learning for big data and based on big data</div><div class="">- Predictive analytics and simulation</div><div class="">- Visualization systems for big data </div><div class="">- Knowledge extraction, discovery, analysis, and presentation</div><div class="">Integrated and Distributed Systems</div><div class="">- Sensor networks</div><div class="">- Internet of Things </div><div class="">- Networking and protocols </div><div class="">- Smart Systems (such as energy efficiency systems, smart homes, smart farms, etc.)</div><div class="">Big Data Platforms and Technologies </div><div class="">- Innovative, concurrent, and scalable big data platforms </div><div class="">- Data indexing, cleaning, transformation, and curation technologies </div><div class="">- Big data processing frameworks and technologies </div><div class="">- Big data services and application development methods and tools </div><div class="">- Big data quality evaluation and assurance technologies </div><div class="">- Big data system reliability, dependability, and availability </div><div class="">- Open-source development and technology for big data </div><div class="">- Big Data as a Service (BDaaS) platform and technologies</div><div class=""><br class=""></div><div class="">Big Data Foundations </div><div class="">- Foundational theoretical or computational models for big data </div><div class="">- Programming models, theories, and algorithms for big data </div><div class="">- Standards, protocols, and quality assurance for big data</div><div class="">Big Data Applications and Experiences </div><div class="">- Innovative big data applications and services in industries and domains e.g. healthcare, finance, insurance, transportation, agriculture, education, environment, multimedia, social networks, urban planning, disaster management, security </div><div class="">- Experiences and case studies of big data applications and services </div><div class="">- Real-world and large-scale practices of big data </div><div class="">=========================================</div><div class="">SPECIAL TRACKS: </div><div class="">Special Track 1: Real-time Big Data Services and Applications</div><div class="">- Models, algorithms, and technologies for real-time big data services and applications </div><div class="">- Experiences, practices and case studies of real-time big data services and applications </div><div class="">Special Track 2: Big Data Security, Privacy, Trust, and Sustainability</div><div class="">- Models, algorithms and technologies for big data security and privacy</div><div class="">- Attacks and defenses for big data services</div><div class="">- Privacy-preserving processing of big data and Big Data for Security and Privacy Analysis</div><div class="">- Energy-aware big data storage, transfer, and usage</div><div class="">- AI-continuum (e.g., cloud, edge, sensors) for sustainable Big data services</div><div class="">Special Track 3: Big Data and Analytics for Healthcare </div><div class="">- Models, algorithms, and technologies of big data for healthcare </div><div class="">- Big data services and applications for healthcare</div><div class="">- Experiences, practices and case studies of big data technologies for healthcare </div><div class="">=========================================</div><div class="">IMPORTANT DATES (UPDATED!): </div><div class="">Workshop proposals: March 31st, 2022</div><div class="">Paper Abstract submission: April 15th, 2022</div><div class="">Full paper submission: April 29th, 2022</div><div class="">Notification of acceptance: June 8th, 2022</div><div class="">Final Paper and Registration: June 22nd, 2022</div><div class="">Conference: August 15th-18th, 2022</div><div class="">=========================================</div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">PAPER SUBMISSION </div><div class="">Papers must be written in English. All papers must be prepared in the IEEE double column proceedings format. Please see the following link for details: <a href="http://www.ieee.org/conferences_events/conferences/publishing/templates.html" class="">http://www.ieee.org/conferences_events/conferences/publishing/templates.html</a>. </div><div class="">Research papers are limited to 8 pages and experience/industry papers are limited to 6 pages. </div><div class="">Authors must submit their papers at the Easychair link:</div><div class=""><a href="https://easychair.org/conferences/?conf=bds2022" class="">https://easychair.org/conferences/?conf=bds2022</a>.</div><div class="">=========================================</div><div class="">PAPER PUBLICATION </div><div class="">All accepted papers will be published by IEEE Computer Society Press (EI‐Index) and included in IEEE Digital Library. For publication, at least one author is required to register at the full rate and present the paper at the conference for the paper to be included in the final technical program and the IEEE Digital Library. Selected papers will be invited for extension and published in journals (SCI-Index). </div><div class="">=========================================</div><div class="">ORGANIZING COMMITTEE: </div><div class="">- General Chairs</div><div class="">Magdalini Eirinaki, San Jose State University, USA</div><div class="">Iraklis Varlamis, Harokopio University of Athens, Greece</div><div class=""><br class=""></div><div class="">- Program Chairs</div><div class="">Katerina Potika, San Jose State University, USA</div><div class="">Monica Vitali, Politecnico di Milano, Italy</div><div class=""><br class=""></div><div class="">- Special Track Chairs</div><div class="">William Andreopoulos, San Jose State University, USA</div><div class="">Anna Bernasconi, Politecnico di Milano, Italy</div><div class="">Fatih Turkmen, University of Groningen, Nederland</div><div class=""><br class=""></div><div class="">- Workshop Chair</div><div class="">Mattia Salnitri, Politecnico di Milano, Italy</div><div class=""><br class=""></div><div class="">- Publicity Chairs</div><div class="">Ping Ping, Hohai University, China</div><div class="">Xuan-Son Vu, Umeå University, Sweden</div><div class="">Abel Souza, University of Massachusetts Amherst, USA</div><div class="">=========================================</div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">Conference website: <a href="http://big-dataservice.net/?p=6" class="">http://big-dataservice.net/?p=6</a> </div><div class="">CFP: <a href="https://people.cs.umu.se/sonvx/bigdataservice2022/BDS_CFP2022_CFP.pdf" class="">https://people.cs.umu.se/sonvx/bigdataservice2022/BDS_CFP2022_CFP.pdf</a></div><div class=""><br class=""></div><div class=""><br class=""></div></body></html>