6th Workshop on Scalable Cloud Data Management

Co-located with the IEEE Big Data 2017. December 11-14, 2017, Boston, MA, USA.

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Workshop

We solicit research on novel database designs and their distribution and storage mechanisms (NoSQL, NewSQL, Database-as-a-Service) 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.

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Important Dates

Oct 01, 2017: Due date for full paper submission
Nov 01, 2017: Notification of paper acceptance to authors
Nov 15, 2017: Camera-ready of accepted papers
Dec 11-14, 2017: Workshop


Topics

The workshop covers several modern topics related to cloud computing, NoSQL, scalability, services and databases:

  • 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
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Publication

Accepted papers will be published by the IEEE Computer Society Press.