Distributed architectures for high performance and privacy-aware content generation and delivery

The increasing heterogeneity of mobile client devices used to access the Web requires run-time adaptations of the Web contents. A significant trend in these content adaptation services is the growing amount of personalization required by users. Personalized services are and will be a key feature for the success of the next generation Web, but they open two critical issues: performance and profile management. Issues related to the performance of adaptation services are typically addressed by highly distributed architectures with a large number of nodes located closer to user. On the other hand, the management of user profile must take into account the nature of these data that may contain sensitive information, such as geographic position, navigation history and personal preferences that should be kept private.In this paper, we propose a distributed architecture for the ubiquitous Web access that provides high performance, while addressing the privacy issues related to the management of sensitive user information. The proposed distributed-core architecture splits the adaptation services over multiple nodes distributed over a two-level topology, thus exploiting parallel adaptations to improve the user perceived performance