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Scalable Cloud Data Management Workshop 2017

Co-located with the 17th Conference on Database Systems for Business, Technology, and Web

Felix Gessert, Norbert Ritter

Workshop Website: http://scdm.cloud/

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

Submission Guidelines

Research papers submitted to SCDM should present original completed or ongoing research in the areas of cloud data management as listed above. Submitted papers will be refereed by the workshop Program Committee. Accepted papers will appear in the BTW 2017 workshop proceedings, published as part of LNI. The papers should be written in German or English and adhere to the LNI formatting guidelines: http://btw2017.informatik.uni-stuttgart.de/index.php?pageId=Submission&language=en. Research papers are limited to 10 pages. We also solicit submissions about ongoing work, position papers and experience reports of up to 10 pages.

Submission Site

https://cmt3.research.microsoft.com/BTW2017

Important Dates

01.12.2016 Submission of Contributions
15.12.2016 Author Notification
02.01.2017 Camera Ready
06.03.2017 Workshop

Chaired by

  • Norbert Ritter, University of Hamburg
  • Felix Gessert, University of Hamburg

Contact

Email to: gessert@informatik.uni-hamburg.de

Program Committee

  • Andreas Thor, University of Leipzig
  • Armin Roth, IBM
  • Ching Hsien (Robert) Hsu, Chung Hua University
  • Eiko Yoneki, University of Cambridge
  • Fabian Panse, Universität Hamburg
  • Haopeng Chen, Shanghai Jiao Tong University
  • Harald Kosch, Universität Passau
  • Holger Schwarz, Universität Stuttgart
  • Jiannan Ouyang, University of Pittsburgh
  • Keke Chen, Wright State University
  • Liqiang Wang, University of Wyoming
  • Meike Klettke, Universität Rostock
  • Nils Gruschka, Kiel University of Applied Science
  • Russel Sears, Pure Storage
  • Sameh Elnikety, Microsoft Research
  • Sébastien Mosser, Université Nice-Sophia Antipolis
  • Sherif Sakr, University of New South Wales
  • Shigeru Hosono, NEC Knowledge Discovery Research Lab
  • Shiping Chen, CSIRO
  • Stefan Deßloch, University of Kaiserslautern
  • Uta Störl, Hochschule Darmstadt

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