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Utilizing online spatial data sources to create added values has been quite common in modern Web applications. Through client-side mashup techniques, one can efficiently integrate some popular spatial data services (e.g., Google Maps) through their well-defined interfaces as well as useful tools for mashup. However, many other spatial data providers lack of resources or motivations to provide such...
We propose a novel approach to discover workflow models from event logs. The proposed approach addresses two major limitations of current process mining approaches. First, they assume either a single workflow model for the entire event log or the availability of workflow ids that can be used to group logs associated with the same workflow model together. Nonetheless, these assumptions are oversimplified...
Nowadays many software services are hosted in the Cloud. When there are more requests on these services, there are also more queries sent to the underlying database. In order to keep up with the increasing workload, it is necessary to have multiple servers hosting the data. Some cloud providers offer the full data replication solution. However, this solution only works when the load mainly consists...
Non-Functional (NF) requirement is very important for the success of a software service. Considering that there could be multiple services implementing a same function, it is crucial for software providers to understand the real NF demands from consumers so that they can meet these demands and attract users. It is also crucial for consumers to know what is being offered so that they can pose realistic...
Many QoS-based service selection algorithms are complex and time-consuming, and sometimes require a lot of manual efforts from users. As a result, users' real-time searching experiences may not be good when there are many candidate services, because it could be very slow to calculate the ranking scores of services. In this paper, we want to improve the efficiency of the selection process by using...
Clustering is an important technique for intelligence computation such as trust, recommendation, reputation, and requirement elicitation. With the user centric nature of service and the user's lack of prior knowledge on the distribution of the raw data, one challenge is on how to associate user quality requirements on the clustering results with the algorithmic output properties (e.g. number of clusters...
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