Fault-Tolerant Distributed Knowledge Discovery Services for Grids

Fault tolerance is an important issue in service oriented architectures like Grid and Cloud systems, where many and heterogeneous machines are used. In this paper we present a flexible failure handling framework which extends a service-oriented architecture for Distributed Data Mining previously proposed, addressing the requirements for handling fault tolerance in service-oriented Grids. In particular, two different solutions are described and experimentally evaluated on a real Grid setting, aimed at assessing their effectiveness and performance.