BenchmarX'10 2010 - 2nd International Workshop on Benchmarking of Database Management Systems and Data-Oriented Web Technologies

The successful first year of the workshop (BenchmarX'09) was devoted to benchmarking of XML and Semantic Web applications. However, since the amount of related approaches is wide and, at the same time, new technologies occur while the obsolete ones vanish, the general strategy of BenchmarX is to extend and modify the target areas and topics to follow the modern trends. XML still is one of the most common data formats, however, there are applications that are not based on it or use it only marginally. On the other hand, Semantic Web is only part of a bigger research area of web technologies oriented on data. Hence, this year we want to go beyond the borders of pure XML and Semantic Web.

BenchmarX'10 is aimed at benchmarking (and related issues) of all stages of data processing in the context of up-to-date database management systems and data-oriented web technologies in general. Typical (but not the only) representatives of such applications and technologies can be web services and semantic web services, Web 2.0 applications, social networks etc. Similarly, new data types, such as data streams, sensor data or imprecise/uncertain data, triggered proposal and implementation of new strategies for their storage, processing and management that need to benchmarked, tested and compared specifically.

Even though data management and data-oriented applications are involved in topics of many conferences around the world, the community dealing with benchmarking of such applications and related issues is still scattered. The aim of BenchmarX is to bring it together and provide a platform for common discussion of all the related topics.

We invite submission from both research and industrial communities dealing with different theoretical and applied aspects of benchmarking of database management systems and data-oriented web applications. Areas of interests include, but are not limited to:

Benchmarking:
- Benchmark projects and suites
- Benchmarking metrics, criteria and methodologies
- Analysis and/or comparison of performance of selected applications
- Experiences and lessons learned
- Exploitation of benchmarking results

Gathering of testing data:
- Data synthesis
- Inference of schemas, integrity constraints etc.
- Data/operation repositories

Real-world requirements:
- Analysis of real-world data, operations etc.
- Evolution of real-world data
- Synthetic vs. real data
- Specific requirements of real-world applications