Welcome to the Sixth International Workshop on Cloud Data Management!

The following is the workshop program.





Keynote 1:  Building Big Data Processing Systems under New Computing Model. 
Invited Speaker: Xiaodong Zhang, the Ohio State University  

10:00AM- 10:30AM

Coffee Break


Session 1: Quality of Services

Leonardo Moreira, Victor Aguiar Evangelista de Farias, Flávio R. C. Sousa, Gustavo A. C. Santos, José Maia and Javam Machado: Towards Improvements on the Quality of Service for Multi-Tenant RDBMS in the Cloud 

Ilir Fetai, Filip-Martin Brinkmann and Heiko Schuldt: PolarDBMS: Towards a Cost-Effective and Policy-Based Data Management in the Cloud

Dimokritos Stamatakis and Olga Papaemmanouil: SLA-driven Workload Management for Cloud Databases


Session 2: System Architecture 

Vasvi Kakkad, Akon Dey, Alan Fekete and Bernhard Scholz: Curracurrong Cloud: Stream Processing in the Cloud

Felix Gessert, Florian Bücklers and Norbert Ritter: Orestes: a Scalable Database-as-a-Service Architecture for Low Latency






Keynote 2: Multi-faceted Classification of Big Data Uses and Proposed Architecture Integrating High Performance Computing and the Apache Stack 

Invited Speaker: Geoffrey Fox, Indiana University



Coffee Break



Session 3: Query Processing

Christian Tinnefeld, Donald Kossmann, Joos-Hendrik Böse and Hasso Plattner: Parallel Join Executions in RAMCloud 

Hang Zhang, Hongzhi Wang, Jianzhong Li and Hong Gao: Neighbor-base Similarity Matching for Graphs

Emeric Viel and Haruyasu Ueda: Data Stream Partitioning Re-Optimization Based on Runtime Dependency Mining


Session 4: Benchmarking 

Akon Dey, Alan Fekete, Raghunath Nambiar and Uwe Röhm: YCSB+T: Benchmarking Web-scale Transactional Databases 

Tanu Malik, Kyle Chard and Ian Foster. Benchmarking Cloud-based Tagging Services


The Sixth International workshop on Cloud Data Management (CloudDB 2014) will bring together researchers and practitioners in cloud computing and data-intensive system design, programming, parallel algorithms, data management, scientific applications, and information-based applications to maximize performance, minimize cost and improve the scale of their endeavours.

Data management is one of the most important research areas in cloud computing. Even though increasing research interests are focused in this area, people still need a forum to exchange their ideas and results. This workshop aims to provide such a forum. This workshop also aims to reflect top research progress in the cloud data management area. 

Important Dates:
  • Individual Workshop Papers Due:  November 13, 2013 November 20, 2013  
  • Notification of Acceptance: December 13, 2013
  • Camera Ready: January 8, 2014 (hard deadline for publication)
  • Workshop Date: March 31, 2014