SCDM 2017 - Scalable Cloud Data Management Workshop 2017

The Fifth Workshop on Scalable Cloud Data Management (SCDM 2017) is co-located with the BTW 2017 conference 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.
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 in new data models, 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 it might impose 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
Topics of interest include, but are not limited to:
Database as a Service, Multi-tenancy
Elasticity and Scalability for Cloud Data Management Systems
New Protocols, Service Interfaces and Data Models for Cloud Databases
Polyglot Persistence, NoSQL, Schemaless Data Modeling, Integration
Data-Centric Web-Services, RESTful Data Services
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, Analytics and Data Science
Resource and Workload Management in Cloud Databases
Tunable and Eventual Consistency, Latency
High Availability, Reliability, Failover
Transactional Models for Cloud Databases
Query Languages and Processing, Programming Models
Consistency, Replication and Partitioning
CAP, Data Structures and Algorithms for Eventually Consistent Stores