1st IEEE/ACM International Workshop on Distributed Big Data Management
in conjunction with
May 16, 2016, Cartagena, Colombia
Best Papers of DBDM 2016 will be Invited for Extended Submission to a Top-Quality Journal
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.
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.
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
aim of the 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
The DBDM 2016 workshop focuses on all the research aspects of distributed management of Big Data. Among these, an unrestricted list is the following one:
The 1st International Workshop on Distributed Big Data Management (DBDM 2016) will be held in conjunction with the 16th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (IEEE/ACM CCGRID 2016), in Cartagena, Colombia, during May 16, 2018, 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.
Hilton Cartagena Hotel, Cartagena, Colombia.
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 must register.
Papers must be submitted via the EasyChair online submission system: https://www.easychair.org/conferences/?conf=dbdm2016.
papers will appear in the proper CCGRID 2016 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: February 26, 2016
Notification of acceptance: March 10, 2016
Camera-ready paper due: March 15, 2016
Workshop: May 16, 2016
University of Poitiers, France
Alfredo Cuzzocrea, University of Trieste, Italy
Giancarlo Fortino, University of Calabria, Italy
Carson Leung, University of Manitoba, Canada
Rim Moussa, University of Cartagena, Tunis
Yang Xiang, Deakin University, Australia
For more information and any inquire, please contact Alfredo Cuzzocrea