Section: New Results

Cloud-based Data Management

We investigate architectures for storing Web data (in particular, XML documents and RDF graphs) based on commercial cloud platforms. In particular, we have developed the AMADA platform, which operates in a Software as a Service (SaaS) approach, allowing users to upload, index, store, and query large volumes of Web data. Since cloud users support monetary costs directly connected to their consumption of cloud resources, we focus on indexing content in the cloud. We study the applicability of several indexing strategies, and show that they lead not only to reducing query evaluation time, but also, importantly, to reducing the monetary costs associated with the exploitation of the cloud-based warehouse [10] , [12] , [13] .