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With the advance of computing and inter-networking technologies, various services, which need classification of data, are provided. Firewall and QoS control are typical services which classify the data flow. These services are based on two or more rules, and select a rule to classify the data. However, some of their rules may conflict with one another and it is necessary to resolve the conflicts in these classification mechanisms. In this paper, we discuss the classification of data with the generalization of the parameter filter. Then we arrange the parameter filter and propose a 2-phase selection model of classification records. In this model, we consider the procedure of the parameter filter as the phase depending only on the schema of the filter rule and the phase depending on the service. We also implement the KUPF framework based on this model and a sample service which provides QoS control over IPv4/IPv6 network. With this sample implementation, we validate the availability and evaluate the performance of KUPF.

SUMMARYInteraction between emergency medical technicians (EMTs) and doctors is essential in emergency medical care. Doctors require diverse information related to a patient to provide efficient aid. In 2005, we started the Ikoma119 project and have developed a ubiquitous communication platform for emergency medical care called Mobile ER. Our platform, which is based on wireless internet technology, has such desirable properties as low-cost, location-independent service, and ease of service introduction. We provide an overview of our platform and describe the services that we have developed. We also discuss the remaining issues to realize our platform's actual operation. key words: emergency medical care, mobile network, Mobile IPv6, network mobility

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SUMMARYIn this paper, the authors propose a high-speed implementation of a parameter filter, using a multidimensional space search algorithm with the introduction of virtual bounding rectangles. The authors have proposed and implemented a KUPF architecture for the problem of packet classification reflecting the complex policies of a router. Because parameter filters generally have filters for multiple parameters, the conventional methods for increasing speed are not applicable to KUPF. R-tree and R * -tree, which construct a search tree using minimum bounding rectangles and accelerate the search, are known search methods for multidimensional spaces. Meanwhile, this proposal represents filter rules in multidimensional space with the introduction of virtual bounding rectangles, while normalizing differences in the properties of each parameter and applying an R * -tree. KUPF-VR, in which this proposal is implemented, had an improved search speed compared to conventional KUPF and was clearly superior in the case of a large number of filter rules, compared to methods specialized for IP packet processing.