Due to numerous requests, SCDM will accept papers until November 05. Submitted papers will directly go into the review process.
8th Workshop on Scalable Cloud Data Management
Co-located with the IEEE Big Data 2019. December 9-12, 2019, Los Angeles, CA, USA.
Workshop
We solicit research on novel database designs and their distribution and storage mechanisms (NoSQL, NewSQL, Database-as-a-Service, real-time databases) as well as scalable data and data-processing services. The application side of cloud databases is equally important, as it might impose new programming models, APIs and web-enabled interfaces. The workshop will bring together cloud computing, data architectures and data-related services from the perspective of scalability and hopes for your contribution to this exciting new field.
Important Dates
Oct 1 Nov 05, 2019: Due date for full workshop paper submission
Nov 15, 2019: Notification of paper acceptance to authors
Nov 20, 2019: Camera-ready of accepted papers
Dec 9-12 2019: SCDM Workshop
Topics
The workshop covers several modern topics related to cloud computing, NoSQL, scalability, services and databases:
- 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, and Data Models for Cloud Databases
- Continuous Query Processing, Streaming Analytics, and 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