Emerging applications in Internet of Things (IoT) and Cyber–Physical Systems (CPS)
present novel challenges to Big Data platforms for performing online analytics. Ubiquitous …

Abstract Many Big Data technologies were built to enable the processing of human
generated data, setting aside the enormous amount of data generated from Machine-to …

Abstract Complex Event Processing (CEP) is a promising approach for real-time processing
of big-data streams originating from Internet of Things (IoT) devices. Even though scalability …

Complex event processing (CEP) systems that evaluate queries over streams of events may
face unpredictable input rates and query selectivities. During short peak times, exhaustive …

To support reactive and predictive applications, complex event processing (CEP) systems
detect patterns in event streams based on predefined queries. To determine the events that …

Complex Event Processing (CEP) has evolved into the paradigm of choice for the
development of monitoring and reactive applications. It also has a strong impact on future …

State-of-the-art Complex Event Processing technology (CEP), while effective for pattern
query execution, is limited in its capability of reacting to opportunities and risks detected by …

In the Internet of Things (IoT), multiple sensors and devices are generating heterogeneous
streams of data. To perform meaningful analysis over multiple of these streams, stream …

Abstract Complex Event Processing (CEP) has emerged as the unifying field for
technologies that require processing and correlating distributed data sources in real-time …

The requirements of analyzing heterogeneous data streams and detecting complex patterns
in near real-time have raised the prospect of complex event processing (CEP) for many …