The Fourth International Symposium on Advanced Data Systems Management, Engineering, Analytics (MegaData)

https://megadata.cs.ut.ee/

In Conjunction with the Federated Learning Conference (FLTA)
18-20 September 2024 VALENCIA, SPAIN

Overview
Under the exponential growth of Big Data (BD) from different sources, managing, engineering, and designing data systems and gaining meaningful insights are significant challenges. The current generation of data engineers and architects works tirelessly to satisfy the accelerating demand for data-driven innovations. MegaData aims to report on the advances and trends in BD deployment models and environments from the infrastructure and application levels. Papers presenting recent results, research issues, practical applications, case studies, and industrial implementations are welcome. Moreover, submitting ongoing research, position, visionary, and student papers is encouraged to fuel the discussion.

Topics
MegaData covers the area of BD operations (management, engineering, and analytics) within Cloud and Edge computing models. Also, it aims to report on the advances and trends in BD deployment architectures from both the infrastructure and application levels. Papers presenting recent results, research issues, practical applications, case studies, and industrial implementations are welcome.
Specific topics of interest include, but are not limited, to the following:
• Resource management and scheduling mechanisms for data systems
• Auto Scaling and elastic scaling approaches and mechanisms
• Data governance and privacy of “data in motion” and “data at rest” over edge/cloud
• Emerging Data deployment models in IoT, IoT-to-Cloud, Edge/fog
• Federated Learning and edge intelligence for big data systems
• Advances data storage models, including object stores and key-value stores.
• Techniques for data integrity, availability, reliability, and fault tolerance
• Big Data workflows (data management, data wrangling, automated workflows)
• Data pipeline (data lake to analytics, new data stream architectures, edge/fog, cloud-enabled solutions)
• High-performance Data Analytics applications
• Adaptive offloading techniques among Fog, Edge, and Cloud Computing

Publication

All accepted papers in MegaData 2024 will be submitted to FLTA proceeding and published at IEEEXplore. It will be indexed in all databases like DBLP and Scopus for inclusion. Also, all the best paper nominees will be invited to Q1 journals.

Submission Guidelines
There are three categories of submission in the Main track:
• Long papers: 7-8 pages.
• Short papers: 5-6 pages.
• Poster papers (Undergrad): 1-2 pages.

Submission Link:
https://easychair.org/conferences/?conf=flta2024

Important dates
• Paper submission deadline: July 20, 2024
• Notification of paper acceptance: August 07, 2024
• Submission of camera-ready papers due: August 15, 2024