Data Engineering

A broad spectrum of data is available on the Web in distinct heterogeneous sources, stored under different formats. As the number of systems that utilize this data grows, the importance of data conversion mechanisms increases greatly. We present here an overview of a French-Israeli research project aimed at developing tools to simplify the intricate task of data translation. The solution is based on a middleware data model to which various data sources are mapped, and a declarative language for specifying translations within the middleware model. A complementary schema-based mechanism is used to automate some of the translation. Some particular aspects of the solution are detailed in [3, 7, 10]. 1 Introduction Data integration and translation is a problem facing many organizations that wish to utilize Web data. A broad spectrum of data is available on the Web in distinct heterogeneous sources, stored under different formats: a specific database vendor format, XML or Latex (documents)..

Using Architectural Style as a Basis for System Self-repair

Abstract: An increasingly important requirement for software systems is the capability to adapt at run time in order to accommodate varying resources, system errors, and changing requirements. For such self-repairing systems, one of the hard problems is determining when a change is needed, and knowing what kind of adaptation is required. Recently several researchers have explored the possibility of using architectural models as a basis for run time monitoring, error detection, and repair. Each of these efforts, however, has demonstrated the feasibility of using architectural models in the context of a specific style. In this paper we show how to generalize these solutions by making architectural style a parameter in the monitoring/repair framework and its supporting infrastructure. The value of this generalization is that it allows one to tailor monitoring/repair mechanisms to match both the properties of interest (such as performance or security), and the available operators for run time adaptation. Key words: Dynamic adaptation, software architectures, performance analysis. 1