Thursday, April 25, 2024

[DMANET] IEEE BigDataSE 2024, 17-21 December, Hainan, China - Call for Papers

I hope this email finds you well. This email is to inform you about the
upcoming IEEE BigDataSE-2024 conference. As a valued member of the academic
and research community, we invite you to participate and contribute to this
prestigious event.

*The 18th IEEE Internat**ional Conference on Big Data Science and
Engineering (BigDataSE-2024)*

*December 17-21, 2024, Sanya, Hainan, China*



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/stream computing platforms, and high performance/parallel
computing platforms.

The 18th IEEE International Conference on Big Data Science and Engineering
(BigDataSE-2024) is going to provide a prime international forum for
researchers, industry practitioners and environment experts to exchange the
latest fundamental advances in the state of the art and practice of Big
Data and broadly related areas. The goal of this conference is to promote
community-wide discussion for identifying advanced applications,
technologies and theories for big data. We seek submissions of papers that
invent novel techniques, investigate new applications, introduce advanced
methodologies, propose promising research directions and discuss approaches
for unsolved issues.

BigDataSE-2024 will be hosted in Sanya, China. Sanya, a picturesque coastal
city, offers an ideal setting for the conference and provides opportunities
for exploration, including visits to renowned sites such as Tianya Haijiao,
Wuzhizhou Coral Island, and the beaches of Yalong Bay.

Prospective authors are invited to submit their papers to
BigDataSE-2024. Accepted papers will be submitted for possible inclusion
into IEEE Xplore subject to meeting IEEE Xplore's scope and quality
requirements. The authors of selected best papers will be invited post
conference to extend their contributions for special issues of prestigious
journals to be planned in conjunction with the conference.


Topics of interest include, but are not limited to:

· Novel theories, computational models, and algorithms of Big Data

· Big Data standards

· Big Data search and mining

· Big Data learning and analytics

· Big Data infrastructure, high performance/parallel computing platforms

· 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 about Big Data

· Big Data vs Big Business and Big Industry

· Large data stream processing

· Large incremental datasets

· Distributed and federated datasets

· NoSQL data stores and Big Data compression

· 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

· Multi-source Big Data processing and integration

· Storage and computation management of Big Data

· Large-scale Big Data workflow management

· Big Data sensing and crowdsourcing

· Sensor network, social network and Big Data

· Big Data ecosystem

· Foundation models and Big Data

· Big Data applications


*Workshop Proposal: 1 July 2024*

*Submission Deadline:* *1 September 2024*

Authors Notification: 15 October 2024

Final Manuscript Due: 10 November 2024

Registration Due: 10 November 2024

Conference Date: 17-21 December 2024


All papers need to be submitted electronically through the conference
submission website (TBD) with PDF format. The materials presented in the
papers should not be published or under submission elsewhere. Each paper is
limited to 8 pages (or 12 pages with over length charge) including figures
and references using IEEE Computer Society Proceedings Manuscripts style
(two columns, single-spaced, 10 fonts). Manuscript Templates for Conference
Proceedings can be found at:

Once accepted, at least one of the authors of any accepted paper is
requested to register the paper at the conference.


We invite proposals for workshops associated with the conference,
addressing research areas related to the conference. Accepted workshop
papers will be included in the proceedings published by IEEE. Send your
proposals based on the requirements announced on the conference website to
** .


*General Chairs*

· Robert H. Deng, Singapore Management University, Singapore

· Valtteri Niemi, University of Helsinki, Finland

*Program Chairs*

· Zakirul Alam Bhuiyan, Fordham University, USA

· Weizhan Zhang, Xi'an Jiaotong University, China

*Workshop Chair*

· Wenxiu Ding, Xidian University, China

· Peng Zhang, Zalando, Finland

*Publicity Chair*

· Yijia Liu, Xidian University, China

*Steering Committee Chairs*

· Jinjun Chen, Swinburne University of Technology, Australia

· Laurence T. Yang, Zhengzhou University, China

· Liang Zhao, Shenyang Aerospace University, China


Best regards!

Yijia Liu

* Contributions to be spread via DMANET are submitted to
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.