CALL FOR PAPERS
Scalable Cloud Data Management Workshop 2023
Co-located with the IEEE Big Data 2023 in Sorrento, Italy.
Workshop Website: https://scdm.cloud

WORKSHOP
The 12th Workshop on Scalable Cloud Data Management is co-located
with the IEEE International Conference on Big Data 2023 and tackles
the manifold new topics in the area of cloud data management. The
workshop is focused on new research challenges for scalable databases
and data processing in the context of cloud computing. SCDM 2022 was
successfully held in conjunction with the IEEE BigData 2022.

This year's workshop is a special edition with a primary emphasis on Web
engineering or globally distributed applications. In addition to the usual
topics, we encourage submissions that cover website performance tracking,
A/B testing, and optimization. Our main interest is in research that
investigates how cloud databases can be utilized to meet the requirements
of contemporary web applications and services.

MOTIVATION
The increasing adoption of cloud computing for databases and data
services introduces a variety of new research challenges. To leverage
elastic cloud resources, scalability has to be a fundamental
architectural design trait of these new cloud databases. This
challenge has manifested itself in new data models (NoSQL),
replication, caching and partitioning schemes, relaxed consistency
and transaction guarantees, as well as new protocols, APIs, and
storage services. This workshop invites submissions about new
technologies enabling databases for cloud environments and offering
them as services (Database-as-a-Service). We solicit research on
novel database designs and their distribution and storage mechanisms
as well as scalable data and data processing services. The
application side of cloud databases is equally important, as real
use cases might motivate new programming models, APIs, and
web-enabled interfaces. We are convinced that bringing together cloud
computing, service design, and data architectures in this workshop
will contribute to this exciting new field.

TOPICS OF INTEREST
The topics of this workshop include, but are not limited to:
- Database-as-a-Service, Backend-as-a-Service, Multi-Tenancy
- Machine Leaning Methods for Data Management
- Elasticity and Scalability for Cloud Data Management Systems
- New Protocols, Service Interfaces & Data Models for Cloud Databases
- Techniques for Efficient Content Compression, Transmission & Encoding
- Continuous Query Processing, Streaming Analytics, Real-Time Databases
- Polyglot Persistence, NoSQL, Schemaless Data Modeling, Integration
- Database Architectures for Mobile and Web Clients
- Content Delivery Networks, Caching, Load-Balancing, Web-Scale Workloads
- Virtualization for Cloud Databases, Storage Structures and Indexing
- Frameworks and Systems for Parallel and Distributed Computing
- Scalable Machine Learning and Data Science
- Resource and Workload Management in Cloud Databases
- Tunable and Eventual Consistency, Latency
- High Availability, Reliability, Failover
- Transactional Models for Scalable Databases
- Consistency, Replication, and Partitioning
- Distributed Schema Management and Evolution

IMPORTANT DATES
Oct 1, 2023: Due date for full workshop papers submission
Nov 1, 2023: Notification of paper acceptance to authors
Nov 20, 2023: Camera-ready of accepted papers
Dec 15-18 (TBD), 2023: SCDM Workshop

SUBMISSION GUIDELINES
Research papers submitted to SCDM should present original completed
or ongoing research in the areas of cloud data management such as
listed above. Submitted papers may have a length of up to 10 pages in
the IEEE 2-column format. For templates and details, please visit
https://scdm.cloud
The workshop proceedings will be published by the IEEE Computer
Society Press.

SUBMISSION SITE
https://wi-lab.com/cyberchair/2023/bigdata23/scripts/submit.php?subarea=S31&undisplay_detail=1&wh=/cyberchair/2023/bigdata23/scripts/ws_submit.php

Chaired and organized by
Felix Gessert (Baqend, Germany)
Wolfram Wingerath (University of Oldenburg, Germany)
Benjamin Wollmer (University of Hamburg, Germany)
Norbert Ritter (University of Hamburg, Germany)

Contact
Email to: research@baqend.com or via website: https://scdm.cloud