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 recent advances in hardware and software have enabled the capture of different
measurements of data in a wide range of fields. These measurements are generated …

Video cameras are pervasively deployed for security and smart city scenarios, with millions
of them in large cities worldwide. Achieving the potential of these cameras requires …

This paper proposes a method for constructing local image descriptors which efficiently
encode texture information and are suitable for histogram based representation of image …

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 …

Borealis is a second-generation distributed stream processing engine that is being
developed at Brandeis University, Brown University, and MIT. Borealis inherits core stream …

STREAM is a general-purpose relational Data Stream Management System (DSMS).
STREAM supports a declarative query language and flexible query execution plans. It is …

Various research communities have independently arrived at stream processing as a
programming model for efficient and parallel computing. These communities include digital …

Traditional databases store sets of relatively static records with no pre-defined notion of time,
unless timestamp attributes are explicitly added. While this model adequately represents …