As you may be aware, the World Health Organization has officially declared the novel coronavirus COVID-19 a pandemic. This global health crisis is a unique challenge that has impacted many members of the IEEE family. We would like to express our concern and support for all the members of the IEEE community, our professional team, our families, and all others affected by this outbreak.

Due to the recent outbreak of COVID-19 in Hubei Province, the local government is now issuing restrictions on travel, gatherings, and meetings to limit and slow the spread of the virus. The health and safety of the IEEE community is our priority and IEEE is supporting these efforts.

Following the advice and guidelines from healthcare officials and local authorities, the IEEE Trustcom 2022 will now be held on 9-11 December 2022. We apologize for the inconvenience caused by the upmentioned issue.

Accepted papers for the IEEE Trustcom 2022 will be submitted for inclusion in IEEE Xplore Digital Library after they are presented at the conference.

We extend our heartfelt thanks and appreciation to all of our technical community for your understanding and community engagement. We will make our efforts to follow up on the postponed IEEE Trustcom 2022 conference and to maintain the integrity and quality of the research and content. Thank you for your support of our shared mission to advance technology for humanity.

Keynote (Zoom URL):

Others:

Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce.

IEEE BigDataSE 2022 is a hybrid conference. For all regular papers, short papers and workshop papers, authors need to upload a pre-recorded presentation on EDAS (https://www.edas.info/).

The deadline for submitting the pre-record presentations is December 8, 11:59 PM (UTC).

Pre-recorded presentation requirements:

Please make sure that your presentation file follows these guidelines:

● The slide show length must not exceed 20 minutes;

● Presentation should be uploaded in the PPTX format;

● Filename please name your presentation file with paper ID on the EDAS + first author name;

BigDataSE 2022 topics include, but are not limited to the following:

• Trust semantics, metrics and models
• Systems, Models and Algorithms
• Big Data novel theory, algorithm and applications
• Big Data standards
• Big Data mining and analytics
• Big Data Infrastructure, MapReduce and Cloud Computing
• Big Data visualization
• Big Data curation and management
• Big Data semantics, scientific discovery and intelligence
• Big Data performance analysis and large-scale deployment
• Security, privacy, trust, and legal issues to big data
• Big Data vs Big Business and Big Industry
• Large data stream processing on cloud
• Large incremental datasets on cloud
• Distributed and federated datasets
• NoSQL data stores and DB scalability
• Big Data placement, scheduling, and optimization
• Distributed file systems for Big Data
• MapReduce for Big Data processing, resource scheduling and SLA
• Performance characterization, evaluation and optimization
• Simulation and debugging systems and tools for MapReduce and Big Data
• Volume, Velocity, Variety, Value and Veracity of Big Data
• Multiple source data processing and integration with MapReduce
• Storage and computation management of Big Data
• Large-scale big data workflow management
• Mobility and big data
• Sensor network, social network and big data
• Big data applications

All papers need to be submitted electronically through the website (http://edas.info/N29663) with PDF format. Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. A submission is limited to 8 pages for main conference regular papers, 6 pages for workshop papers or short papers in the IEEE Computer Society Proceedings Format with Portable Document Format (.pdf). A submission can have at most 4 additional pages with the pages overlength charge if accepted. Papers must be clearly presented in English, including tables, figures, references and appendices. Papers will be selected based on their originality, significance, relevance, and clarity of presentation assessed by at least three reviewers. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and present the work, with either online or offline presentation. IEEE BigDataSE 2022 reserves the right to exclude a paper from distribution after the conference (e.g., removal from the digital library and indexing services), if the paper is not presented at the conference. Accepted and presented papers will be submitted in the IEEE for indexing. Distinguished papers presented at the conference, after further revision, will be published in special issues of high quality international journals.Two or three outstanding papers will be selected to receive the Best Paper Awards.