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MegaData 2021 : International Workshop on Advanced Data Systems Management, Engineering, and Analytics


When Aug 24, 2021 - Aug 26, 2021
Where Tartu, Estonia
Submission Deadline Apr 9, 2021
Notification Due May 14, 2021
Final Version Due Jun 11, 2021
Categories    big data   data management   data engineering   data analytics

Call For Papers


Selected papers will be invited to submit extended manuscripts in a special issue in Springer Cluster Computing The Journal of Networks, Software Tools and Applications (Impact factor 3.458, ISI Q1).


The International Workshop on Advanced Data Systems Management, Engineering, and Analytics in conjunction with the ADBIS'2021.

MegaData 2021 Megadata 2021 « ADBIS'2021

Tartu, Estonia

August 24, 2021

Co-organized by:

The University of Tartu, Estonia
Data Systems Group, Delta Research Center

University of Santiago de Compostela, Spain
Centro Singular de Investigación en Tecnoloxías Intelixentes, CiTIUS

Duquesne University, USA
Computer Science Department

Megadata 2021 « ADBIS'2021


--- Paper submission deadline: April 9, 2021 ---



The MegaData workshop aims to bring together researchers and practitioners from the data science and data engineering communities to share their latest studies in Big Data practices. The workshop theme focuses on the Data system's effective management, engineering, and analytics of different Big Data models ranging from databases to file systems and from data streaming to batch processing. Mega Data offers an opportunity to showcase the latest advances in this area and discuss and identify future directions and challenges in all aspects of Big Data systems' management and engineering.


In Delta Research Center of the University of Tartu, Estonia. Delta center is one of the most modern digital technology center, analytical and economic thought in the Nordic region.


Paper submission deadline: April 9, 2021
Notification of acceptance: May 14, 2021
Camera-ready due: June 11, 2021
Workshop day: August 24, 2021


Papers are solicited on all aspects of big data management. Specific topics of interest include, but are not limited, to the following:

- Resource management and scheduling mechanisms
- System tuning/auto-tuning and configuration management
- Auto Scaling and elastic scaling challenges and opportunities
- Unified management of 'data in motion' and 'data at rest.'
- Dealing with both structured and unstructured data
- Holistic management across hardware and software
- Emerging hardware/software technologies such as shared memory, hyperthreading, and
- Domain-specific challenges in the cloud, sensor networks, streaming analytics, cyber-physical systems
- Emerging deployment models in IoT, IoT-to-Cloud, Edge/fog deployment, HPC
- Scalable architectures for data storage, archival, and virtualization
- Performance benchmarking and workload studies
- Advances in data storage models, including object stores and key-value stores
- Techniques for data integrity, availability, reliability, and fault tolerance
- Productivity tools for data-intensive computing, data mining, and knowledge discovery
- Application of emerging big data frameworks towards scientific computing and analysis
- Enabling cloud and container-based models for scientific data analysis
- Tools and techniques for managing data movement among computing and data-intensive components


MegaData workshop intends to accept short (limited to 6 pages) and long (limited to 12 pages) papers. Papers must be submitted via EASY CHAIR.

Select make a new submission, then select "Advances in Data Systems Management, Engineering, and Analytics" from the tracks list. Templates, sample files, and useful links can be found in the LaTeX and Word files for frontmatter (zip) section.


The publication will be in the proceeding of the ADBIS'2021. Workshop papers will be published in the Springer Communications in Computer and Information Science (CCIS) series. The best workshop papers will be invited to a special issue in a Q1 journal (to be announced shortly).


- Yaser Jararweh, Associated Professor of Computer Science. Duquesne University, USA

- Tomás F. Pena, Associated Professor. University of Santiago de Compostela, CiTIUS research center, Spain

- Feras M. Awaysheh, Assistant Professor of Big Data Systems, Delta research center, University of Tartu, Estonia


Dr. Feras Awaysheh:

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