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6th Workshop on Scalable Cloud Data Management(SCDM 2017)
Call for Papers:
The Sixth Workshop on Scalable Cloud Data Management (SCDM 2017) is co-located with the the IEEE Big Data 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. SCDM 2016 was successfully held in conjunction with the IEEE BigData 2016 in Washington D.C.
The workshop is focused on new research challenges for scalable databases and data processing in the context of cloud computing:
The topics of this workshop 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
Paper Submission
Please submit your paper as a PDF file.
Submission Site
https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submit.php?subarea=S04
IMPORTANT DATES:
- full paper submission : October 01, 2017
- Notification of paper acceptance to authors : November 01, 2017
- Camera-ready of accepted papers : November 15, 2017
- Workshop : December 11-14, 2017
User Name : srav
Posted 07-07-2017 on 16:11:18 AEDT
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