Complex event processing received an increasing interest during the last years with the adoption of event-driven architectures in various application domains. Despite a number of solutions that can process events in near real-time, their effectiveness for decision support relies heavily upon human domain knowledge. This poses a problem in areas that require vast amounts of specialized knowledge...

Most complex information systems are event-driven: each part of the system reacts to the events happening in the other parts, potentially generating new events. Complex Event Processing (CEP) engines in charge of interpreting, filtering, and combining primitive events to identify higher level composite events according to a set of rules, are the new breed of Message Oriented Middleware, which i...

This paper is proposed, an efficient complex event-processing framework, designed to process a large number of sequential events on field-programmable gate arrays (FPGAs). Unlike conventional structured query language based approaches, our approach features logic automation constructed with a new C-based event language that supports regular expressions on the basis of C functions, so that a wid...

Complex Event Detection (CED) is a key capability for many monitoring applications such as intrusion detection, sensor-based activity/phenomenon tracking, and network/infrastructure monitoring. Existing CED solutions commonly assume centralized availability and proactive processing of all relevant events, and thus incur significant overhead in distributed settings. In this paper, we present and...

“Brittleness” can be intended as the propensity of an agent to perform poorly or fail in the face of circumstances not explicitly considered by the agent’s designer. In opposition to brittleness, ”Versatility” and ”Perturbation-tolerance” express the ability of being able to cope with previously unanticipated situations. These properties are particularly important in many practical applications...

Original scientific paper In today’s world, complex global business environment is in a state of continuous change. Therefore, business organizations are looking for an innovative way to optimize and to support the performance of their business processes to meet out their market share in order to maintain a competitive edge. Usually, business processes are monitored in near real-time using Key ...

Semantic Complex Event Processing (CEP) is a promising approach for analysing streams of social media data in crisis situations. Traditional CEP approaches lack the capability to semantically interpret and analyse data, which Semantic CEP attempts to address, but current approaches have a number of limitations. In this paper we survey four semantic stream processing engines, and discuss them wi...

A variety of ubiquitous computing devices, such as radio frequency identification (RFID) and wireless sensor network (WSN), are generating huge and significant events that should be rapidly processed for business excellence. In this paper, we describe how complex event processing (CEP) technology can be applied to ubiquitous process management based on context-awareness. To address the issue, w...

Several complex systems operate by observing a set of primitive events that happen in the external environments, interpreting and combining them to identify higher level composite events, and finally sending the notifications about these events to the components in charge of reacting to them, thus determining the overall system’s behavior. Examples of systems that operate this way are sensor ne...

Addressing the dynamics and notification in the Semantic Web realm has recently become an important area of research. Run time data is generated by multiple social networks, sensor networks, various on-line services, and so on. The challenge is how to get advantage of a huge amount of real time data, i.e., how to integrate heterogeneous data streams, combine data streams with the background kno...