SCBDI 2014 - IEEE 2014 International Workshop on Service and Cloud Based Data Integration(SCBDI 2014)

In recent years, the trend towards publishing data on the Web is gaining momentum. People have witnessed a sharp growth of diversities and amounts of available data. Dynamic data like sensor data also emerges, which is constantly changing and hard to manage. Integration and synthesis of these diverse, heterogeneous, autonomous and large-scale data have been an essential and hard issue in enterprise computing, scientific computing and social computing. It is not always feasible to achieve effective data integration around definite schemas when there are mismatches in cross-domain integration and when such issues as compatibility, scalability, timeliness, and user manipulation are concerned. Service Oriented Architecture and Cloud computing have brought light to dealing with these hard issues. Cloud computing is becoming more and more popular in storing, retrieving and managing such distributed and large-scale data. SOA is being employed by large projects like Data Conservancy (http://dataconservancy.org) to deal with data collection, integration and discovery challenges across data repositories. Some "Data as a Service" applications, such as Google Public Data Explorer (http://www.google.com/publicdata/directory/) and WCF Data Service (http://msdn.microsoft.com/en-us/data/odata.aspx), target rich, on-demand and latest data provisioning.
Following the success of the first SCDI workshop collocated with the EDOC 2012 conference (http://decloud.ncut.edu.cn/scdi-2012) and a SCDI special issue at Springer Grid Computing Journal (http://users.sdsc.edu/~jianwu/JGC-SCDI-2013/), the workshop intends to bring researchers, practitioners and vendors together to discuss and share ideas and experiences. It fosters novel models, methodologies, and solution patterns that address the data integration issue and fit in the service and cloud based settings. This workshop will focus on the use of service and/or cloud based technologies to meet the new data integration challenges that are not well served by the current approaches.
Topics of interests of SCDI 2014 include, but are not limited to:
List of Topics
- Service Abstraction and Virtualization for Distributed Data Integration
- Modeling and Composition of Data Services
- Scalability, Reliability and other Quality Assurance of Data Integration
- Correctness Verification and Freshness of Distributed Data Integration Results
- Performance Analysis, Parallelization and Optimization of Distributed Data Integration Process
- Agile and Ad-hoc Integration of Heterogeneous Data Sources
- Automatic Tracing and Response of Changes and Updates
- Real-time Integration and Processing of Large-scale Sensor Data
- Enterprise Mashup
- User-friendly Mashup of Distributed Data Sources
- Data Flow Modeling and Management in Cloud
- Cloud-based Architectures for Distributed Data Integration
- Applications of SOA and Cloud Infrastructure in Data Integration
- Big Data Curation and Integration
- Applications and Case Studies of Heterogeneous Data Integration