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In quantitative crowdsourcing, workers are asked to provide numerical answers. Different from categorical crowdsourcing, result aggregation in quantitative crowdsourcing is processed by combinatorially computing over all workers’ answers instead of by merely choosing one from a set of candidate answers. Therefore, existing result aggregation models for categorical crowdsourcing tasks cannot be used...
Crowdsourcing has received tremendous attention for collecting various data with the distributed smartphones of people. For the mobile crowdsourcing applications to obtain high-quality data, stimulating user participation is of paramount importance. Although many incentive mechanisms have been designed, most of them ignore the dynamic arrivals and different sensing requirements of tasks. Thus, the...
As Cloud Computing has emerged as new computing paradigm, more and more services have been deployed and provided on the cloud platform with a SaaS model, thereby how to select a qualified service is becoming a key issue. Several approaches based on service feedback ranking e.g., rating-oriented collaborative filtering (CF) have been proposed. Traditional CF approaches predict the potential QoS values...
How to raise the efficiency of collaboration of modelers and bring down the cost of reusing processes are key problems in modern process developing activities. In the role-oriented way to organize modelers and the single-instance-based way to organize processes, traditional practices failed to tackle the problems. This paper describes an abstraction-level-based solution which organizes modelers and...
The Business Process Modeling Notation (BPMN) is a standard for modeling business processes in the early phases of systems development. Model verification is an important means to guarantee the trustiness of composite services. The verification of model, especially the model with strict time constraints, is a challenge in the field of trust composite services. Whether a model is trustworthy depends...
Process model improvement is one of the most important challenges to deal with in the field of evolving process-aware information systems. In this paper, we present, PRV, an approach to process model refactoring supporting automatic process model improvement, which enables PAIS to adapt to the varying business requirements. First, a set of change operations preserving soundness is defined to avoid...
Composite service evolution is one of the most important challenges to deal with in the field of service composition. In particular, this paper presents, LiveMig, an approach to live migration of composite service instance, which is a critical step for online composite service evolution. In LiveMig, a set of change operations preserving soundness is first defined. Second, a live instance state migration...
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