10th IEEE International Workshop on Distributed Big Data Management (DBDM 2025)
The goal of the workshop
In the last few years there have been an increasing number of initiatives to develop distributed Big Data management platforms for diversified application domains, from e-science to large-scale sensor network monitoring. Many national and international research projects in academia, industry and government focus on the development and deployment of distributed Big Data management systems. Apart from companies working in the Big Data domain, there are also initial important investments in this field from social networks to Web advertisement, from astronomic data management to biological data management, as so forth. There are already several workshops oriented to Big Data management systems, however none of them focus on distributed Big Data management as major topic, where distributed models, techniques, algorithms and architectures play the first-class role. Thus, the establishment of a new venue in which the definition of novel models, techniques, algorithms and architectures for supporting the distributed management of Big Data is discussed and disseminated, may enable new research ideas and launch new business pathways.
The DBDM 2025 workshop aims to synergistically connect the research community and industry practitioners. It provides an international forum where scientific domain experts, database researchers, practitioners and developers can share their findings in theoretical foundations, current methodologies, and practical experiences on distributed management of Big Data. DBDM 2025 provides a stimulating environment to encourage discussion, fellowship, and exchange ideas in all aspects of research related to distributed management of Big Data, including both original research contributions and insights from practical system design, implementation and evaluation, along with new research directions and emerging application domains in the area of distributed management of Big Data. The realistic outcome expected by DBDM 2025 is to define new problems in the context of distributed management of Big Data and achieving consolidated solutions to already-known problems. Also, another relevant goal it to create a focused community of scientists who create and drive interest in the area of distributed management of Big Data, and possibly to continue to contribute to the success of the event across years.
Workshop theme
Big Data Management is of relevant interest at now, and it can be considered as one of the most emerging research topics we deal with. In particular, the management of Big Data in distributed settings (like Clouds) is demanding for innovative models, techniques and algorithms capable of dealing with the well-known Vs of such kind of data.
Indeed, traditional approaches are not suitable to manage Big Data in distributed environments, due to the Volume, Velocity and Variety of Big Data. Starting from this evidence, recently we experienced novel proposals that are trying to creating applications and systems that, running on top of distributed settings like Clouds, effectively and efficiently manage Big Data as to support a wide range of contexts, among which analytics, knowledge discovery and cybersecurity methods are just some relevant examples.
Despite these initiatives, lot of work still needs to be done in such research area, as it encompasses a large collection of topics ranging from data management algorithms to high-performance techniques. Topics are both of theoretical nature (e.g., managing uncertain and imprecise distributed Big Data) and practical nature (e.g., Big Data dissemination in distributed environments).
Following the great success of the previous nine editions, four co-located with IEEE/ACM CCGRID conference series and five co-located with IEEE COMPSAC, the aim of the 10th International Workshop on Distributed Big Data Management (DBDM 2025) is to capture the new research trends and results in terms of models, techniques, algorithms, architecture and applications for the management of Big Data in distributed environments. This workshop will also identify potential research directions and technologies that will drive innovations within this domain. We anticipate this workshop to establish a pathway for the development of future generation large-scale Big Data management systems.
Scope of the workshop
The DBDM 2025 workshop focuses on all the research aspects of distributed management of Big Data. Among these, an unrestricted list is the following one:
Distributed Big Data: Fundamentals
Distributed Big Data: Modelling
Distributed Big Data: Statistical Approaches
Distributed Big Data: Novel Paradigms
Distributed Big Data: Innovative Protocols
Distributed Big Data: Algorithms
Distributed Big Data: Query Optimization
Distributed Big Data: Non-Conventional Environments (e.g., Spatio-Temporal Data, Streaming Data, Cloud Data, Probabilistic Data, Uncertain Data)
Distributed Big Data: Systems
Distributed Big Data: Architectures
Distributed Big Data: Advanced Topics (e.g., NoSQL Databases)
Distributed Big Data: Case Studies and Applications
Innovative Models for Big Data Management in Distributed Settings
Innovative Techniques for Big Data Management in Distributed Settings
Innovative Algorithms for Big Data Management in Distributed Settings
Innovative Architectures for Big Data Management in Distributed
Query Processing Approach for Big Data in Distributed Settings
Approximate Query Processing of Big Data in Distributed Settings
Uncertain and Imprecise Big Data Management in Distributed Settings
Privacy Preserving Big Data Management in Distributed Settings
Secure Big Data Management in Distributed Settings
Scalable Big Data Analytics in Distributed Settings
Data Warehousing over Big Data in Distributed Settings
OLAP over Big Data in Distributed Settings
Big Graph Data Management in Distributed Settings
Big RDF Data Management in Distributed Settings
Streaming Big Data Management in Distributed Settings
Virtual Big Data Management in Distributed Settings
Indexing Approaches for Big Data in Distributed Settings
Theoretical Models for Big Data Representation in Distributed Settings
Big Data Exchange Models and Algorithms in Distributed Settings
Big Data Fusion Models and Algorithms in Distributed Settings
Big Data Integration Models and Algorithms in Distributed Settings
Big Data Availability Models and Algorithms in Distributed Settings
Big Data Reliability Models and Algorithms in Distributed Settings
Workshop organizer(s)
Alfredo Cuzzocrea
University of Calabria
Via P. Bucci, 0B, 87036 Rende (CS), Italy
Email: alfredo.cuzzocrea@unical.it
Antonino Rullo
ICAR-CNR
Via P. Bucci, 8/9C, 87036 Rende (CS), Italy
Email: antonino.rullo@icar.cnr.it
Important Dates
UPDATED: Full symposium papers due
January 31, February 15, February 28, 2025
Symposium paper notification
April 7, 2025
Workshop papers due
April 15, 2025
Workshop papers notification
May 1, 2025
Camera-ready copy
June 1, 2025
Conference Dates
July 8-11, 2025
Paper Templates
IEEE Paper templates are available in MS Word 2003 and LaTex. All submissions must use US 8.5×11 letter page format.
IEEE Conference Publishing Policies
All submissions must adhere to IEEE Conference Publishing Policies.
IEEE Cross Check
All submission will be screened for plagiarized material through the IEEE Cross Check portal.