Organizations use business process management techniques to manage their core business processes more efficiently. A recent technique is the synchronization of multiple process instances by processing a set of activities as a batch – referred to ...

Real-time event identification is critical in complex distributed infrastructures, e.g., water systems, where failures are difficult to isolate. We present AquaEIS, an event-based middleware tailored to the problem of locating sources of failure (e.g., ...

Event-based systems encounter challenges of correctness and consistency. Correctness means that the execution results match the intention of the designer. Consistency means that different data elements that co-exist within a certain system creates an ...

Temporally evolving graphs are an indispensable requisite of modern-day big data processing pipelines. Existing graph processing systems mostly focus on static graphs and lack the essential support for pattern detection and event processing in graph-...

Radio Frequency Identification technologies has entered the healthcare domain because of its enhanced functionality, low cost, high accuracy and easy to use capacities. However, network latencies and machine failure may cause events to arrive out-of-...

Despite suffering from inefficiency and flexibility limitations, the filter-based routing (FBR) algorithm is widely used in content-based publish/subscribe (pub/sub) systems. To address its limitations, we propose a dynamic destination-based routing ...

Quality attributes play a very relevant role in the service-oriented computing world, as they allow distinguishing between functionally equivalent services. In fact, these attributes impact various activities related to the life-cycle of service-based ...

For large-scale, and real-time processing, cloud systems are widely used due to their high scalability and availability. In this paper, we propose workload distribution methods for location-based event processing on the cloud systems. We define a ...

In this paper we present a novel approach for dynamic remote activity monitoring based on mobile complex event processing that has been used in a use case in the eHealth domain. Using complex event processing (CEP) in mobile environment enables a more ...

The execution of business processes generates a lot of data comprising final process results as well as information about intermediate activities, both communicated as events. Automated process execution environments are centrally controlled by process ...

Current event processing systems lack methods to preserve privacy constraints of incoming event streams in a chain of subsequently applied stream operations. This is a problem in large-scale distributed applications like a logistic chain where event ...

In these days, there are a lot of massive event data appeared every day because networked devices such as smartphones and kind of sensors become very common. Every service provider intends to analyze the event data and discovers a new business rule for ...

The Internet of Things (IoT) paradigm, extending the computing and communicating capabilities to virtually every object, raises many new challenges to IoT-enabling systems. At the middleware layer, a context aware adaptive component has to fit the ...

Event processing rules may be prescribed in many different ways, including by finite state machines, graphical methods, ECA (event-condition-action) rules or reactive rules that are triggered by event patterns. In this paper, we present a model for ...

As RFID is being applied in more and more business applications, events to be processed by RFID middleware is becoming more and more complex. It is needed that some original events are processed to create a complex event in order to get complex ...

Wireless Sensor Networks (WSN) raise the interest of multiple business domains . Their ability to monitor and control large physical environment made them very attractive for many application domains. Nevertheless, Wireless Sensor Networks encounter ...