Chang Ho Yun

Intelligent Management of Remote Facilities through a Ubiquitous Cloud Middleware

This paper introduces a Tele-Management system as a part of SmartUM which is a Ubiquitous Cloud Middleware for ubiquitous city (u-city). The cloud computing platform allows users to control remote devices. The users get data from a various kinds of remote sensors and scene images about the place of sensors from remote video cameras and control remote devices seeing the scene images of the remote place. Our cloud computing platform has context-awareness and can intelligently control the remote devices according to the circumstance scenario. We used ontology for the context aware intelligence processing.

Visualization of Urban Air Pollution with Cloud Computing

Visualization of urban air pollution requiresmassive data processing since it should make air pollutionmaps either in two dimensions or three dimensions and wehave to deal with geographical data, that is, GIS data. We usedour own cloud computing technology to visualize urban airpollution and found that our approach vastly reduced theprocessing time of the visualization. In this paper, we presentthe visualization processing of urban air pollution using ourown cloud computing technology, Smart-MapReduce andcompare the performance with MPI and MapReduce withHadoop.

Cloud computing platform based real-time processing for stream reasoning

A smart city requires the intelligent management of infrastructure like the Internet of Things (IoT) devices in order to provide smart services that improve the quality of human life. To obtain the information needed to implement smart city services, stream reasoning is used to intelligently process the big data stream constantly generated from IoT devices. However, there are constraints associated with the real-time processing of large streams of big data from the smart city infrastructure. In this paper, we propose a stream reasoning system model for the smart city application, which was implemented using real-time big data processing technology in the smart city middleware. We use Apache Kafka, a message processing system, and Apache Storm, a real-time distributed processing system, to overcome the constraints associated with real-time processing. We evaluate the performance of our system implementation by measuring the throughput per second and the maximum capacity of the experimental system.

Design of a Multi-Network Selector for Multiband Maritime Networks

In this paper an inter-layer protocol, referred to as a Multi-Network Selector (MNS) is proposed for multiband maritime networks. A MNS is located between the data-link layer and the network layer and performs vertical handover when a ship moves another radio network. In order to provide seamless data transfer to different radio networks, the MNS uses received signal strength (RSS) and ship’s location information as decision parameters for vertical handover, which can avoid ping-pong effect and reduces handover latency. In addition, we present related issues in order to implement the MNS for a multiband maritime network.

Recipient S-CSCF Assured (RSA) Session Transfer for IMS based NGN

A session transfer method, referred to as a Recipient Serving-call session control function (S-CSCF) Assured (RSA), is proposed in order to support both session mobility and consistency in IP multimedia subsystem (IMS) based next generation network (NGN). RSA session transfer simplifies a basic session transfer operation specified in [1] by using the user agent client (UAC) like characteristics of an S-CSCF. To show its efficiency, the session transfer delay and the traffic cost of RSA session transfer are investigated and compared with those of existing session transfer applications, including Assured and Consultative session transfers, by practically considering multiple session transfer failures. It is shown that RSA session transfer can further improve user experience by reducing session transfer delay as well as traffic cost than Assured and Consultative session transfers.