Introduction

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 2nd International Workshop on Distributed Big Data Management (DBDM 2017), which follows the successful event 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.

Call for paper

Important date

2016-12-15
Draft paper submission deadline
2017-01-15
Draft paper acceptance notification
2017-02-15
Final paper submission deadline

Submission Topics

  • 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

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Important Date

  • May 14

    2017

    Conference Date

  • Dec 15 2016

    Draft paper submission deadline

  • Jan 15 2017

    Draft Paper Acceptance Notification

  • Feb 15 2017

    Final Paper Deadline

  • May 14 2017

    Registration deadline

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