Distributed Databases: Principles and Systems

TL;DR: This work describes schemes that enable a user to access k replicated copies of a database and privately retrieve information stored in the database, so that each individual server gets no information on the identity of the item retrieved by the user.

TL;DR: The aim of the paper is to provide first a unifying framework for the problem of schema integration, then a comparative review of the work done thus far in this area, providing a basis for identifying strengths and weaknesses of individual methodologies, as well as general guidelines for future improvements and extensions.

TL;DR: This paper introduces the Cougar approach to tasking sensor networks through declarative queries, and proposes a natural architecture for a data management system for sensor networks, and describes open research problems in this area.

TL;DR: The paper presents the “textbook” architecture for distributed query processing and a series of techniques that are particularly useful for distributed database systems, and discusses different kinds of distributed systems such as client-server, middleware (multitier), and heterogeneous database systems and shows how query processing works in these systems.