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Pervasive computing environments typically change frequently in terms of available resources and their properties. Applications in pervasive computing use contexts to capture these changes and adapt their behaviors accordingly. However, contexts available to these applications may be abnormal or imprecise due to environmental noises. This may result in(More)
Context-aware applications automatically adapt their behavior according to environmental conditions, also known as contexts. However, in practice contexts are often inaccurate, noisy or even inconsistent (e.g., two RFID readers may report different numbers for the same set of goods processed). These kinds of problematic contexts may cause context-aware(More)
Atomicity is a desirable property that safeguards application consistency for service compositions. A service composition exhibiting this property could either complete or cancel itself without any side effects. It is possible to achieve this property for a service composition by selecting suitable web services to form an atomicity sphere. However, this(More)
Exception handling resolves inconsistency by backward or forward error recovery methods or both in Business-to-Business (B2B) process collaboration. To avoid committing irrevocable tasks followed by exceptions, B2B processes, which guarantee the atomicity sphere property, are attractive. While atomicity sphere ensures its outcomes to be either all or(More)
The execution time, an important criterion to measure the quality of a BPEL process, can be influenced by some slow external partner services (i.e., some long-running services). Therefore, it is desirable to specify response time of services into the SLAs (service level agreements). In this way, service consumers could verify whether the candidate services(More)
Runtime monitoring of Web service compositions with WS-BPEL has been widely acknowledged as a significant approach to understand and guarantee the quality of services. However, most existing monitoring technologies only track patterns related to the execution of an individual process. As a result, the possible inconsistency failure caused by implicit(More)
Process mining, especially process discovery, has been utilized to extract process models from event logs. One challenge faced by process discovery is to identify concurrency effectively. State-of-the-art approaches employ activity orders in traces to undertake process discovery and they require stringent completeness notions of event logs. Thus, they may(More)
Context-awareness allows pervasive applications to adapt to changeable computing environments. Contexts, the pieces of information that capture the characteristics of environments, are often error-prone and inconsistent due to noises. Various strategies have been proposed to enable automatic context inconsistency resolution. They are formulated on different(More)
Context-awareness is a capability that allows applications in pervasive computing to adapt themselves continuously to changing contexts of their environments. However, contexts from physical environments may be inconsistent. It affects the correctness of these applications. Existing resolution strategies for context inconsistency have diverse adverse(More)