Under several emerging application scenarios, such as in smart cities, operational
monitoring of large infrastructure, wearable assistance, and Internet of Things, continuous …

With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor
devices, and Web technologies, the Internet of Things (IoT) approach has gained …

Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …

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 …

The concept of event processing is established as a generic computational paradigm in
various application fields. Events report on state changes of a system and its environment …

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

Pattern matching over event streams is increasingly being employed in many areas
including financial services, RFIDbased inventory management, click stream analysis, and …

We describe the design and implementation of the Cornell Cayuga System for scalable
event processing. We present a query language based on Cayuga Algebra for naturally …

Increasing energy costs, new environmental legislation, and concerns over energy security
are driving efforts to increase industrial energy efficiency across the European Union and …