Download the call for papers (txt, pdf).
SDMAS is a series of workshops that has been annually held from 2007. The scope of SDMAS workshop is focused on scalability of data management in computing systems in various domains.
Data management has become a key issue in many computing systems. High-performance computing, data visualization, multimedia and data mining systems are examples of application areas where input/output and storage are critical issues for performance. A key challenge in those areas is how to transfer large amounts of data in and out of large-scale systems, like clusters, Grids and more recently in Cloud Computing environments. Another key point is how to transfer large amount of data in a timely manner. The aim of the workshop is to identify, discuss, and share the barriers and workarounds that have been discovered in the storage, input/output and data management fields.
SDMAS is a forum that brings together researchers and practitioners interested in different aspects of data management systems and its applications to industry. The workshop seeks to act as a conduit for the presentation of novel approaches used in data management (from the hardware layer to the higher software layers) as well as their application to research and industry.
As in previous editions, the workshop will be held along with the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA). PDPTA is a premier conference in the parallel and distributed computing arena which offers the opportunity to interact with researchers and practitioners.
Topics of interest
- Scalable file systems and storage management in:
- Clusters.
- Supercomputing.
- Grid environments.
- Cloud computing environments.
- Embedded systems.
- Sensor networks.
- Storage systems
- File systems
- Object based storage
- Block storage
- Storage management
- Energy aware storage
- Storage netowrking
- Storage on SSD's
- Scalable internet services:
- Web clusters (local and geographically distributed)
- Scalable Web applications architecture
- High performance Web services
- Scalable Web for ubiquitous computing
- Load balancing, availability and reliability of Web systems
- Web performance modeling and Web workload characterization
- High performance input/output:
- Massively parallel storage architectures
- Input/output in the multi/many-core era
- Innovative Hardware/Software tradeoffs
- Data management applications:
- Data mining and knowledge discovery
- Social networks analysis
- Data fusion
- Medical imaging
- Bioinformatics
- Large scale simulations
- Scalable geographical information systems
- High-performance image processing
- Scalable data management in scientific computing
- Content delivery networks
- Large scale systems
- Caching and replication
- Reliability and fault tolerance
- Large scale streaming systems
- Storage technology and protocols
- New I/O architectures
- Storage virtualization
- I/O middleware
- Low power storage systems
- Intelligent Data Management:
- Intelligent Agents
- Knowledge Management
- Information Search and Retrieval
- Knowledge networks