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Data services have almost become a standard way for data publishing and sharing on the web. Lack of well-defined machine readable model hinders its spreading. In this paper, we devote ourselves to modeling and discovery of data services. We use RDF model to describe the data scheme and semantics of the data services. Then we define a simplified SPARQL query to retrieve the satisfactory data services...
With the continuous expansion of the scope of traffic sensor networks, traffic sensor data becomes widely available and large in amount. Traffic sensor data gathered by large amounts of sensors shows the massive, continuous, streaming and spatio-temporal characteristics compared to traditional traffic data. In order to satisfy the requirements of different applications in Intelligent Transportation...
The Future Internet is becoming a reality, providing a large-scale computing environments where a virtually infinite number of available services can be discovered and composed so to fit users' needs. In order to enable this large-scale and evolvable computing environment, the ability to automatically compose and dynamically coordinate heterogeneous software services is of paramount importance. Service...
The research on the business models is a hot topic in recent years. It is an interesting problem to study the business model of the service. There are three kinds of models related: classical service models, Business process (BP) models and the enterprise business (EB) models in management. However, none of them covers all the properties of the service business model. In this paper, we define the...
This paper describes the concept of workflow merge and methods for merging business processes. We append effect annotations to activities of business process, use RPSTs divided the process graph to fragments then accumulate these effects according to these SESE fragments, detect exact clone and approximate clone between the two process models, finally design a merging algorithm to consolidate two...
Scientific workflow management systems (SWFMSs) are facing unprecedented challenges from big data deluge. As revising all the existing workflow applications to fit into Cloud computing paradigm is impractical, thus migrating SWFMSs into the Cloud to leverage the functionalities of both Cloud computing and SWFMSs may provide a viable approach to big data processing. In this paper, we first discuss...
This paper analyzes how cloud computing -- a technology allowing on-demand, "pay as you go" access to shared and configurable computing resources, can support entrepreneurship. By presenting insights from two theoretical models -- causal logic entrepreneurship and effectual logic entrepreneurship, we discuss how entrepreneurs can take better advantage of the cloud -- an area not yet covered...
Nowadays, companies are increasingly offering their business services through computational services on the Internet in order to attract more customers and increase their revenues. However, these services have financial costs that need to be managed in order to maximize profit. Several models and techniques have been recently reported that aim at managing, controlling and reducing service costs. However,...
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