Cloud computing has emerged as a promising computing and business model. By providing on-demand scaling capabilities without any large upfront investment or long-term commitment, it is attracting a wide range of users. The database community has also shown great interest in exploiting this new platform for data management services in a highly scalable and cost-efficient manner. Cloud computing presents challenges and opportunities for data management. The Cloud Data Management (CloudDM) workshop aims to bring researchers and practitioners in cloud computing and data management systems together to discuss the research issues at the intersection of those areas, share experiences building and managing cloud-scale data management services, and also to draw more attention from the larger data management research community to this highly promising field.
After the great success of the first edition of the DMC workshop in 2012, IEEE TCDE formed a Working Group, Data Management in Cloud and decided to make the DMC workshop an integral part of IEEE ICDE conference. Concurrently, the CloudDB workshop series has been held successfully five times in conjunction with CIKM in the past and last year marked the first time the workshop came together with the prestigious ICDE conference. Given the overlap in the focus and scope of the DMC and the CloudDB workshops, the steering committees of the two workshops in consultation with TCDE members agreed to combine the efforts to propose the workshop on Cloud Data Management (CloudDM) – Joint Workshop of Data Management in the Cloud (DMC) and CloudDB.
The theme of the CloudDM 2015 workshop is to address the challenges of big data management in a cloud computing environment. This workshop welcomes papers that address fundamental research issues in this challenging area, and especially encourages reports on system level research related to cloud computing and data-intensive computing. We also welcome papers on personal and social applications of cloud-based data management.
Topics of interest include, but not limited to:
- Cloud computing infrastructure for big data storage and computing
- Cloud privacy and security
- Distributed processing of streaming data
- Cloud data management for mobile applications
- Cloud-based real-time analytics
- Cloud-based system designs including architecture, scalability, economy, consistence-availability-partition (CAP), transactions, and security
- Services discovery and content distribution in cloud computing infrastructures
- Cross-platform interoperability
- Query processing and indexing in cloud computing systems
- Access control in cloud computing systems
- Service-level agreements, business models, and pricing policies
- Novel data-intensive computing applications
- Language for massively parallel query execution
- Data intensive scalable computing
- Content distribution systems for big data
- Data management within and across data centers
- Large-scale analytical methodology and algorithm
- Parallel and distributed data mining systems and algorithms
- Paper submission deadline: November 17, 2014, 5 PM (Pacific Time).
- Author Notification: December 24, 2014.
- Final Camera-ready Copy Deadline: January 8, 2014