A large number of distributed applications requires continuous and timely processing of
information as it flows from the periphery to the center of the system. Examples include …

The first edition of this book appeared in 1991 when the technology was new and there were
not too many products. In the Preface to the first edition, we had quoted Michael Stonebraker …

CQL, a continuous query language, is supported by the STREAM prototype data stream
management system (DSMS) at Stanford. CQL is an expressive SQL-based declarative …

Cloud database systems such as Amazon RDS or Google Cloud SQLenable the
outsourcing of a large database to a server who then responds to SQL queries. A natural …

This article defines C-SPARQL, an extension of SPARQL whose distinguishing feature is the
support of continuous queries, ie queries registered over RDF data streams and then …

This article discusses the challenges for Database Management in the Internet of Things.
We provide scenarios to illustrate the new world that will be produced by the Internet of …

Continuous SPARQL (C-SPARQL) is a new language for continuous queries over streams
of RDF data. CSPARQL queries consider windows, ie, the most recent triples of such …

We present a replication-based approach to fault-tolerant distributed stream processing in
the face of node failures, network failures, and network partitions. Our approach aims to …

Data stream management systems may be subject to higher input rates than their resources
can handle. When overloaded, the system must shed load in order to maintain low-latency …

In recent years the processing of continuous queries over potentially infinite data streams
has attracted a lot of research attention. We observed that the majority of work addresses …