-------- Forwarded Message -------- Subject: [computational.science] Call for Papers: 4th IEEE/ACM International Workshop on Distributed Big Data Management (DBDM 2019) Date: Fri, 18 Jan 2019 22:28:42 +0100 From: Alfredo Cuzzocrea cuzzocrea@si.dimes.unical.it To: computational.science@lists.iccsa.org
4th IEEE/ACM International Workshop on Distributed Big Data Management (DBDM 2019) in conjunction with 19th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (IEEE/ACM CCGRID 2019) May 17, 2019, Larnaca, Cyprus Web: http://www.units.it/cuzzocrea/confs/DBDM2019/
CALL FOR PAPERS
*Aim and Scope 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: -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 Settings -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 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.
*Workshop Location Golden Bay Beach Hotel, Larnaca, Cyprus
*Submission Guidelines and Instructions 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; -Short Papers: 4 pages. Submitted 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=dbdm2019. *Paper Publication Accepted 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.
*Important Dates Paper submission: January 30, 2019 Notification of acceptance: February 28, 2019 Camera-ready paper due: March 10, 2019 Workshop: May 17, 2019
*Program Committee Chairs Alfredo Cuzzocrea, University of Trieste, Italy
*Program Committee Please, access: http://www.units.it/cuzzocrea/confs/DBDM2019/
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