Most of the WSN applications need the number of sensor nodes deployed to be in order of hundreds, thousands or more to monitor certain phenomena and capture measurements over a long period of time. The large volume of sensor networks would generate continuous streams of raw events in case of centralized architecture, in which the sensor data captured by all the sensor nodes is sent to a central...

Enterprises have to be increasingly agile and responsive to address the challenges posed by the fast moving market. With the software architecture evolving into SOA, and the adoption of RFID, event processing can fit well in enterprise information systems in terms of facilitation of event aggregation into high level actionable information, and event response to improve the responsiveness. To ma...

There is increasing demand for complex event processing of ever-expanding volumes of data in an ever-growing number of application domains. Traditional complex event processing technologies, based upon stream database management systems or publish/subscribe systems, are adept at handling many of these technologies. A growing number of hybrid complex event detection scenarios require features of...

By adequate employing of complex event processing (CEP), valuable information can be extracted from the underlying complex system and used in controlling and decision situations. An example application area is management of IT systems for maintaining required dependability attributes of services based on the

Recently numerous emerging applications, ranging from on-line financial transactions, RFID based supply chain management, traffic monitoring to real-time object monitoring, generate high-volume event streams. To meet the needs of processing event data streams in real-time, Complex Event Processing technology (CEP) has been developed with the focus on detecting occurrences of particular composit...

Complex event processing is currently done primarily with proprietary definition languages. Future smart environments will require collaboration of multi-platform sensors operated by multiple parties. The goal of my research is to verify the applicability of standard-compliant SPARQL for complex event processing tasks. If successful, semantic web standards RDF, SPARQL and OWL with their establi...

Pattern queries are widely used in complex event processing (CEP) systems. Existing pattern matching techniques, however, can provide only limited performance for expensive queries in real-world applications, which may involve Kleene closure patterns, flexible event selection strategies, and events with imprecise timestamps. To support these expensive queries with high performance, we begin our...

RFID technology is gaining adoption on an increasing scale for tracking and monitoring purposes. Wide deployments of RFID devices will soon generate an unprecedented volume of data. Emerging applications require the RFID data to be filtered and correlated for complex pattern detection and transformed to events that provide meaningful, actionable information to end applications. In this work, we...

We supply in this paper some basic information about NKRL, an implemented language/environment for the management of elementary and complex events.

Streaming model transformations represent a novel class of transformations dealing with models whose elements are continuously produced or modi ed by a background process [1]. Executing streaming transformations requires e cient techniques to recognize the activated transformation rules on a potentially in nite input stream. Detecting a series of events triggered by compound structural changes ...