817416
Learning Ontologies to Improve the Quality of Automatic Web Service Matching
Automatically finding suitable Web services given a request is a difficult problem because the interface descriptions of Web services are often terse and cryptic. Dictionary and information retrieval based techniques have proven useful in disambiguating the semantics of service descriptions, but they are limited in their capability to consider the relationships between the words describing the Web services. Current ontology-based approaches typically require a user to explicitly create domain ontologies. This paper presents a novel technique that significantly improves the quality of semantic Web service matching by (1) automatically generating ontologies based on Web service descriptions and (2) using these ontologies to guide the mapping between Web services. Our approach differs from earlier work on service matching by considering the relationship between words rather than treating them as a bag of unrelated words. The experimental results indicate that with our unsupervised approach we can eliminate up to 70% of incorrect matches that are made by dictionary-based approaches.
39832973
Learning Ontologies to Improve the Quality of Automatic Web Service Matching
Automatically finding suitable Web services given a request is a difficult problem because the interface descriptions of Web services are often terse and cryptic. Dictionary and information retrieval based techniques have proven useful in disambiguating the semantics of service descriptions, but they are limited in their capability to consider the relationships between the words describing the Web services. Current ontology-based approaches typically require a user to explicitly create domain ontologies. This paper presents a novel technique that significantly improves the quality of semantic Web service matching by (1) automatically generating ontologies based on Web service descriptions and (2) using these ontologies to guide the mapping between Web services. Our approach differs from earlier work on service matching by considering the relationship between words rather than treating them as a bag of unrelated words. The experimental results indicate that with our unsupervised approach we can eliminate up to 70% of incorrect matches that are made by dictionary-based approaches.
1460421
A New Data-driven Approach for Multimedia Presentation Planning
A number of Multimedia Presentation Systems have been built for technical documentation, traffic management systems, educational software and other applications. However, these systems use handwritten presentation planning operators, which limits their flexibility. In this paper we describe a new data-driven approach for multimedia presentation planning. We present algorithms for acquiring presentation plan operators from Web pages, and for using these operators to generate multimedia presentations. We also show how to use machine learning to adapt multimedia presentation planning to human presentation preferences.
29819645
Support for relaxed currency and consistency constraints in MTCache
40185955
Improving Multimedia Delivery Performance for Digital Library Applications
Nowadays an educational digital library usually contains instructional materials such as class lectures, seminar presentations, and various training materials. These materials accompany video and audio media. In this case, multimedia streaming and delivery techniques are concerned in the construction of a novel multimedia digital library. In this paper, we focus on multimedia streaming techniques in digital library applications. To achieve scalability and deliver high quality streams, we present the multimedia proxy caching scheme between the server and client path, and a prototype design and implementation of a proxy caching system is proposed. By validate our implementation, the experimental results show that our proxy system can contribute to improve streaming media quality, reduce network transferring latency and decrease streaming service response time.
1856693
Application specific forwarding network and instruction encoding for multi-pipe ASIPs
Small area and code size are two critical design issues in most of embedded system designs. In this paper, we tackle these issues by customizing forwarding networks and instruction encoding schemes for multi-pipe Application Specific Instruction-Set Processors (ASIPs). Forwarding is a popular technique to reduce data hazards in the pipeline to improve performance and is applied in almost all modern processor designs; but it is very area expensive. Instruction encoding schemes have a direct impact on code size; an efficient encoding method can lead to a small instruction width, and hence reducing the code size. We propose application specific techniques to reduce forwarding networks and instruction widths for ASIPs with multiple pipelines. By these design techniques, it is possible to reduce area, code size, and even power consumption (due to reduced area), without costing any performance. Our experiments, on a set of benchmarks using the proposed customization approaches show that, on average, there are 27% savings on area, 30% on leakage power, 16.7% on code size, and at the same time, performance even improves by 4% because of the reduced clock period.
9133157
Quality of service evaluations of multicast streaming protocols
Recently proposed scalable on-demand streaming protocols have previously been evaluated using a system cost measure termed the "required server bandwidth". For the scalable protocols that provide immediate service to each client when the server is not overloaded, this paper develops simple analytic models to evaluate two client-oriented quality of service metrics, namely (1) the mean client waiting time in systems where clients are willing to wait if a (well-provisioned) server is temporarily overloaded, and (2) the fraction of clients who balk (i.e., leave without receiving their requested media content) in systems where the clients will tolerate no or only very low service delays during a temporary overload. The models include novel approximate MVA techniques that appear to extend the range of applicability of customized AMVA to include questions focussed on state probabilities rather than on mean values, and to systems in which the operating points of interest do not include substantial client queues. For example, the new AMVA models accurately estimate the server bandwidth needed to achieve a balking rate as low as one in ten thousand. The analytic models can easily be applied to determine the server bandwidth needed for a given number of media files, anticipated total client request rate and file access frequencies, and target balking rate or mean wait. Results show that (a) scalable media servers that are configured with the "required server bandwidth" defined in previous work have low mean wait but may have unacceptably high client balking rates (i.e., greater than one in twenty), (b) for high to moderate client load, only a 10 - 50% increase in the previously defined required server bandwidth is needed to achieve a very low balking rate (e.g., one in ten thousand), and (c) media server performance (either mean wait or balking rate) degrades rapidly if the actual client load is more than 10% greater than the anticipated load.
299633
Power reduction in pipelines
The reduction of power consumption for a system level pipeline is addressed in this paper. The pipeline is composed of several stages. Each stage has several behaviours. Different behaviours have differing execution times. The speed of the pipeline is only affected by the behaviours on the critical path of the slowest stages. Other behaviours can be slowed down to decrease the power consumed in the system. We propose a multi-voltage supply scheme, in which differing behaviours are supplied with differing voltages. The formulas for computing the supply voltage of each behaviour and minimal power consumption are derived in this paper. The results of computer experiment show that up to 80% hardware power can be saved with this scheme.