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CALL FOR PAPERS
International Workshop on Big Data in Emergent Distributed
Environments (BiDEDE 2023)
In conjunction with ACM SIGMOD 2023
June 18 (Sunday), 2023, Seattle, WA, USA
Submission: February 26, 2023
Web:
http://www.ifis.uni-luebeck.de/~groppe/bidede
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** Important Message on Covid-19 **
We will operate the workshop as a hybrid event, such that
presenters and participants can choose to participate in-person in
Seattle (USA) or remotely.
** Aims of the Workshop **
Today, new forms of distributed environments beyond Cloud
Computing occur that offer new kinds of applications, but pose new
challenges for data management. The recent efforts for serverless
computing aim at simplifying the process of deploying code in the
Cloud into production by hiding scaling, capacity planning and
maintenance operations from the developer or operator. Other
initiatives work on avoiding the communication to the Cloud by
deploying and running environments for data processing near data
sources in Internet-of-Things scenarios (e.g., fog and edge
computing) for large-scale smart homes, companies and cities, and
near the applications (e.g., Cloudlets for mobile applications and
Offline First technologies for web applications).
Research on distributed data management evolves addressing new
challenges specific to these new environments. Properties of
emergent distributed environments regarding capabilities of nodes,
bandwidth for communication, battery lifetime of nodes,
reliability of nodes and communication, and heterogeneity of
configurations impact data management mechanisms and approaches,
such as those for fault tolerance, replication, resource
provisioning, buffer management, query processing and
optimization, and transaction management. In addition, federated
approaches and polystores spanning over several emergent
distributed environments also remain research challenges based on
the need for combining these different distributed environments
into one distributed runtime environment for easy handling of Big
Data in different models, and for globally optimizing data
management tasks across these different environments.
The goal of this workshop is to bring together academic
researchers and industry practitioners to discuss the challenges
and solutions, including new approaches, techniques and
applications, that significantly would advance the state of the
art of Big Data in emergent distributed environments.
** Categories of Papers **
The workshop solicits papers of the following categories:
- Research Papers propose new approaches, theories or techniques
related to Big Data in emergent distributed environments including
new data structures, protocols and algorithms. They should make
substantial theoretical and empirical contributions to the
research field.
- System Papers describe new data management tools, stream
processing engines, databases and other systems, which are able to
handle Big Data in emergent distributed environments.
- Experiments and Analysis Papers focus on the experimental
evaluation of existing approaches including data structures and
algorithms for Big Data in emergent distributed environments and
bring new insights through the analysis of these experiments.
Results of Experiments and Analysis Papers can be, for example,
showing benefits of well-known approaches in new settings and
environments, opening new research problems by demonstrating
unexpected behavior or phenomena, or comparing a set of
traditional approaches in an experimental survey.
- Application Papers report practical experiences on applications
of Big Data in emergent distributed environments. Application
Papers might describe how to apply technologies to specific
application domains with big data demands in emergent distributed
environments like social networks, web search, e-business,
collaborative environments, e-learning, medical informatics,
bioinformatics and geographic information systems.
- Vision Papers identify emerging new or future research issues
and directions, and describe new research visions having demands
for Big Data in emergent distributed environments. The new visions
will potentially have great impacts on society.
- Demo Papers deal with innovative systems and applications for
Big Data in emergent distributed environments. These papers
describe a showcase of the proposed system/application, but may
also explain the novelty of the system's architecture. We are
especially interested in demonstrations having a WOW-effect.
The length of papers must be within 4 pages to 6 pages. Accepted
papers will be published in the ACM Digital Library and presented
as oral presentations.
** Topics of Interest **
We are interested in all issues concerning the management of data
to be processed in emergent environments such as the following:
- Cloud Computing
- Serverless Computing
- Cloud Functions
- App Engines
- Cloud Runs
- Post-Cloud Computing
- Cloudlet
- Fog Computing
- Edge Computing
- Cloud-Edge Continuum - Dew Computing
- Offline First
- Smart Home/Companies/Cities
- Quantum Computing
The Data Management issues to be solved in the emergent
environments include, but are not limited to, the following:
- Query Processing and Optimization
- Transaction Management
- Fault Tolerance Mechanisms
- Cloud Data Warehouses
- Distributed Databases
- Federation/Polystore Architectures
- Data Lakes
- Artificial Intelligence in Big Data Environments
- Interactive Data Analytics and Big Data Science
- 5G/6G Impact on Data Management
** Workshop Chairs **
- Sven Groppe, University of Luebeck, Germany
- Le Gruenwald, University of Oklahoma, USA
- Ching-Hsien Hsu, Asia University, Taiwan
** Program Committee **
- Ahmed S. Abdelhamid, Purdue University, USA
- Mithun Balakrishna, Amazon.com Inc.
- Jinghua Groppe, University of Luebeck, Germany
- Ekaterini Ioannou, Tilburg University
- Ioannis Kontopoulos, Harokopio University of Athens, Greece
- Xiang Lian, Kent State University, USA
- Qing Liu, Data61, CSIRO, Australia
- Renato Marroquin, Oracle
- Grazyna Paliwoda-Pekosz, Cracow University of Economics, Poland
- Alfredo Pulvirenti, University of Catania, Italy
- Praveen Rao, The University of Missouri, USA
- Omair Shafiq, Carleton University, Canada
- Katja Gilly de La Sierra-Llamazares, Miguel Hernandez
University, Spain
- Marta Tatu, Raytheon Technologies
- Konstantinos Tserpes, Harokopio University of Athens, Greece
- Xikui Wang, Google, USA
- Robert Wrembel, Poznan University of Technology, Poland
- Steffen Zeuch, Technische Universitaet Berlin, Germany
- Zhuoyue Zhao, University at Buffalo
** Important Dates **
Submission: February 26, 2023
Notification: April 24, 2023
Workshop: June 18 (Sunday), 2023
** Submission **
Authors are invited to submit original, unpublished research
papers that are not being considered for publication in any other
forum.
Manuscripts should be formatted using the camera-ready templates
in the ACM proceedings double-column format according to the
"sigconf" proceedings template. Long papers cannot exceed 6 pages
in length. Short papers and demo papers cannot exceed 4 pages in
length.
Accepted papers will be published online in the ACM digital
library.
We describe manuscript preparation and submission procedure at
http://www.ifis.uni-luebeck.de/~groppe/bidede/submit
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