Datenbank-Spektrum - Call for Papers: Cloud-Native Database Management Systems
Within the last decade, cloud-based database management systems (DBMS) and data management solutions have gained an ever-increasing popularity. Companies and organizations have been migrating to the cloud to modernize and consolidate their infrastructure, reduce costs, and improve on the overall scalability and elasticity of their data processing stacks.
Besides hosting open-source and commercial database management offerings, various cloud-native database systems have emerged. They offer unique characteristics that go beyond the capabilities of traditional DBMS architectures. This leads to new design choices for the core database system as well as the infrastructure to deploy and operate cloud-based DBMS to achieve unprecedented availability, scalability, elasticity, fault tolerance, and reliability offering various price-performance options.
This special issue focuses on discussing all aspects of these cloud-native database management systems, ranging from the specific challenges of designing, implementing, and continuously delivering these systems, to their successful consumption by customers. Topics of interest include, but are not limited to:
- Architectural aspects of cloud-native data management systems (componentization, service composition, disaggregation) and their implications
- Big data systemsStreaming systems
- OLTP and HTAP processing in cloud environments
- High availability and fault tolerance
- Use of Machine Learning in the context of cloud-native DBMS
- Systems for "serverless" data processing
- Load balancing and autoscaling
- (Geo-Distributed) Transaction processing
- Frameworks for the definition and monitoring of Service Level Indicators (SLI) and Objectives (SLO)
- Benchmarking and performance analysis
- Backup and restore
- Quality assurance and regression detection
- Site Reliability Engineering (SRE) for database management systems
- Troubleshooting and supportability aspects
- Testing strategies (i.e. stress-testing, fault-injection, etc)
- Data tiering and different storage strategies
- Security aspects
- Data encryption
- War stories about application migration, system architecture, and others
- Data migration between on-premise and cloud systems, or multi-cloud setups
- Data-intensive application leveraging the unique characteristics of cloud DBMS
Paper format: traditional research articles, experience, and application reports, as well as system overviews, surveys, and experimental studies. These can either be in the form of full submissions (8-10 pages) as well as short papers/extended abstracts (not more than 4 pages) for this issue.
Articles will undergo the journal's standard peer review and editorial processes as outlined in its submission guidelines.
Deadline for Submissions:
Oct. 1st, 2024
Publication of special issue:
DASP-1-2025 (March 2025)
Guest editors:
Alexander Boehm, SAP SE, Germany
alexander.boehm@sap.com (this opens in a new tab)
Norman May, SAP SE, Germany
norman.may@sap.com (this opens in a new tab)
Autorenhinweise/Guidelines: https://link.springer.com/journal/13222/submission-guidelines (this opens in a new tab)
Submission system Editorial Manager: https://www.editorialmanager.com/dasp (this opens in a new tab)
General information on the journal: https://link.springer.com/journal/13222 (this opens in a new tab)