4th IEEE/ACM International Workshop on Distributed Big Data Management
in conjunction with
May 17, 2019, Larnaca, Cyprus
Best Papers of DBDM 2019 will be Invited for Extended Submission to a Top-Quality Journal
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).
The aim of the 4th International Workshop on Distributed Big Data Management (DBDM 2019), which follows the successful events: 3rd International Workshop on Distributed Big Data Management (DBDM 2018), 2nd International Workshop on Distributed Big Data Management (DBDM 2017) and 1st International Workshop on Distributed Big Data Management (DBDM 2016), 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.
The DBDM 2019 workshop focuses on all the research aspects of distributed management of Big Data. Among these, an unrestricted list is the following one:
The 4th International Workshop on Distributed Big Data Management (DBDM 2019) will be held in conjunction with the 19th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (IEEE/ACM CCGRID 2019), in Larnaca, Cyprus, during May 17, 2019, and it focuses on these aspects, by posing the emphasis on a theoretical as well as a practical point of view, and provides a forum for researchers and practitioners interested in distributed big data management to meet and exchange preliminary ideas and mature results.
The Golden Bay Beach Hotel, Larnaca, Cyprus.
Contributions are invited from prospective authors with interests in the
indicated session topics and related areas of application. All contributions
should be high quality, original and not published elsewhere or submitted for
publication during the review period.
Submitted papers should strictly follow the IEEE official template. Maximum paper length allowed is:
· Full Papers: 8 pages;
Papers: 4 pages.
papers will be thoroughly reviewed by members of the
Workshop Program Committee for quality, correctness, originality and relevance.
All accepted papers must be presented by one of the authors, who
Papers must be submitted via the EasyChair online submission system: https://www.easychair.org/conferences/?conf=dbdm2019.
papers will appear in the proper CCGRID 2019 proceedings, published by IEEE.
Authors of selected papers from the workshop will be invited to submit an extended version of their paper to a special issue of a high-quality international journal.
submission: January 30, 2019
Notification of acceptance: February 28, 2019
Camera-ready paper due: March 10, 2019
Workshop: May 17, 2019
University of Trieste, Italy
Andrade Ribeiro, Instituto de Informática
– UFG, Brasil
Ladjel Bellatreche, University of Poitiers, France
Richard Chbeir, Pau University, France
Alfredo Cuzzocrea, University of Trieste, Italy
Roberto De Virgilio, University “Roma Tre” of Rome, Italy
Carlos Garcia-Alvarado, Pivotal, USA
Osvaldo Gervasi, University of Perugia, Italy
Giancarlo Fortino, University of Calabria, Italy
S.D. Madhu Kumar, NIT Calicut, India
Carson Leung, University of Manitoba, Canada
Antonio Liotta, TU Eindhoven, The Netherlands
Carlo Mastroianni, ICAR-CNR, Italy
João Moreira, University of Porto, Portugal
Lorenzo Mossucca, ISMB, Italy
Rim Moussa, University of Cartagena, Tunis
Thanos Vasilakos, Lulea University of Technology, Sweden
Guandong Xu, University of Technology Sydney, Australia
Yang Xiang, Deakin University, Australia
For more information and any inquire, please contact Alfredo Cuzzocrea