Eun-Ha Song

Large-Scale Middleware for Ubiquitous Sensor Networks

As our information society transitions from human-to object-oriented information, especially in ubiquitous-network environments, the advanced technologies developed for ubiquitous sensor networks (USNs) have received considerable attention. In addition, the prevalence of USN computing environments raises the issue of how applications can take full advantage of contextaware information. The main tasks of ubiquitous computing include generating new information from objects on the basis of data received from sensors, transmitting the newly generated information through wireless networks, analyzing the information received, and performing the specific tasks from that analysis. To establish a ubiquitous-computing environment, various fields (administration, medical, transportation, environment, disaster prevention, and so on) have incorporated USN technologies (such as sensor node hardware, sensor networks, and USN middleware) and USN application services (such as ecosystem forecasting, sniper countermeasures, health monitoring, environment observation, and surveillance to detect intruders).

Efficient Server Virtualization using Grid Service Infrastructure

The core services in cloud computing environment are SaaS (Software as a Service), Paas (Platform as a Service) and IaaS (Infrastructure as a Service). Among these three core services server virtualization belongs to IaaS and is a service technology to reduce the server maintenance expenses. Normally, the primary purpose of sever virtualization is building and maintaining a new well functioning server rather than using several existing servers, and in improving the various system performances. Often times this presents an issue in that there might be a need to increase expenses in order to build a new server. This study intends to use grid service architecture for a form of server virtualization which utilizes the existing servers rather than introducing a new server. More specifically, the proposed system is to enhance system performance and to reduce the corresponding expenses, by adopting a scheduling algorithm among the distributed servers and the constituents for grid computing thereby supporting the server virtualization service. Furthermore, the proposed server virtualization system will minimize power management by adopting the sleep severs, the subsidized servers and the grid infrastructure. The power maintenance expenses for the sleep servers will be lowered by utilizing the ACPI (Advanced Configuration & Power Interface) standards with the purpose of overcoming the limits of server performance. Keywords—Server Virtualization, Grid Service, Grid Infrastructure, Power Efficiency, Cloud Computing

Performance evaluation with DEVS formalism and implementation of active emergency call system for realtime location and monitoring

Abstract In this paper, we designed and implemented the active emergency call system for emergency call service actively. Active emergency call system has two physical components; E-Device (Emergency Mobile Device) and E-Server (Emergency Server). The role of E-Device is the mobile device in order to call emergency by using mild handicapped, the elderly and children who are able to communicate their intention to another. E-Server is the server for management E-Devices with realtime monitoring. E-Device will be developed to the portable size for easily mild handicapped, the elderly and children. When they need the service of emergency call, the button of E-Device can be used and the call signal is transmitted to the emergency office and the guardian through Internet and CDMA. E-Server should be developed the integrated control system for management of E-Devices basically. And it also supported to realtime monitoring of E-Devices with respect to high quality of emergency call service for rise the efficiency. And finally we describe the results of performance evaluation about the location error of E-Device between coordinate of GPS received signal and actual E-Device coordinate, when it has been called emergency, by using DEVS (Discrete Event System Specification) formalism.

3-Hierarchical resource management model on web grid service architecture

In this paper, we developed a framework for efficient resource management within the grid service environment. For considering the grid service architecture and functions, the resource management is the most important to grid service; therefore, GridRMF (Grid Resource Management Framework) is modeled and developed in order to respond to such variable characteristics of resources as accordingly as possible. GridRMF uses the participation level of grid resource as a basis of its hierarchical management. This hierarchical management divides managing domains into two parts: VMS (Virtual Organization Management System) for virtual organization management and RMS (Resource Management System) for metadata management. VMS mediates resources according to optimal virtual organization selection mechanism, and responds to malfunctions of the virtual organization by LRM (Local Resource Manager) automatic recovery mechanism. RMS, on the other hand, responds to load balance and fault by applying resource status monitoring information into adaptive performance-based task allocation algorithm.

Ontology-based composition of web services for ubiquitous computing

Current Web service environment provide connection to individual services but is still deficient in semantic processing technology for the interoperability of Web services. The semantic processing of Web services is a key technology for the dynamic discovery and composition of Web services. Thus, the present study established Web service ontology to support ubiquitous environment and proposed a method of describing Web services in consideration of their functional and semantic aspects. In addition, it implemented a service interlocking and composition system by including a mediator function, which enables the composition of heterogeneous Web services, in the system.

Hierarchical and dynamic information management framework on grid computing

This paper presents a GridIMF framework that provides support for adaptive grid services in response to the change of resource supplies and demands in a dynamic computing environment. The framework features a 3-tier hierarchical resource management structure. At the top is a global information manager that serves as a service broker between resource requesters and providers. Resource providers form virtual organizations, each of which is controlled by a local resource manager. The resource managers schedule the execution of tasks adaptively for efficiency and fault tolerance according to the dynamic resource availability information. The framework provides a common API through an application proxy. The proxy decouples grid applications from the implementation details of the framework

A GML-Based mobile device trace monitoring system

Recently, the demands on information services have been increasing significantly. This is mainly due to the popularization of computer and mobile telecommunication devices and the rapid improvements on wireless communication technology. Specially, information services and their corresponding management for mobile devices, such as Location Based Service (LBS) and Telematics, become more and more important. However, the standard for geographical space data has not been finalized. Many commercial monitoring systems are using their own independent geographical information without making them compatible to others. Much efforts and resources have been wasted on managing and operating those different monitoring systems’ geographical Information System (GIS) databases. Accordingly, a standard format called GML, based on the most commonly used geographical data format such as DXF, DWG and SHP, has been emerged. In this paper, our work on GML’s visualization in Trace Monitoring Systems (TMS) is described fully. The details on how to trace and manage data moving among different mobile terminals are presented as well.

Sustainable Operation Algorithm for High Availability with Integrated Desktop Storage Based on Virtualization

Recently, following the rapid development of IT, diverse virtualization-based studies have been conducted on big data storage. Among the diverse studies, desktop storage virtualization integrates unused storage in distributed legacy desktops using virtualization and provides integrated storage to users for other purposes. In the case of this desktop storage virtualization, high availability is regarded as very important to providing reliability to storage users. In addition, although studies on hierarchical structures and resource incorporation in desktop-based integration environments have been conducted, studies on efficient operations following the occurrence of server faults are insufficient. To achieve this operational high availability, in the present paper, a Sustainable Operation Algorithm (SOA) that can actively respond to the occurrence of desktop server faults in desktop-based storage integration environments is proposed. If the SOA is applied in desktop-based integration environments, desktops can be easily added or removed. The alternative server actively operates following the occurrence of faults. Finally, the SOA provides high QoS to storage users.

Visualization of GML Map Using 3-Layer POI on Mobile Device

GIS can only be applied to certain areas by storing format, and it is subordinate to a system when displaying geographic information data. It is therefore inevitable for GIS to use GML that supports efficient usage of various geographic information data and interoperability for integration and sharing. The paper constructs VisualGMLthat translates currently-used geographic information such as DXF(Drawing Exchange Format), DWG(DraWinG), or SHP(Shapefile) into GML format to visualize. In order to provide a flexibility of a mobile device, VisualGML constructs integrated map preprocess module which filters geographic information data according to its tag and properties. VisualGML also provides two major GIS services for user and administrator, it can be enable visualizing location search this is applied with 3-Layer POI structure for user. For administrator, it has trace monitoring visualization through moving information of mobile devices.

Parallel Processing Simulator for Separate Sensor of WSN Simulator with GPU

Recently wireless sensor networks have been used as the technology that is actively grafted onto industries and daily living. Sensors should have built-in routing functions and basic sensing functions for the self-configuration of topologies. The number of sensors necessary for using them in an actual observation ranges from tens to hundreds or thousands. When theses sensors are wrongly placed in an observation region, they can quickly run out of batteries or be disconnected. These incidents may result in huge losses in terms of sensing data from numerous sensors and their costs. Therefore a number of simulators have been developed as tools for effective design and verification before the actual arrangement of sensors. While a number of simulators have been developed, simulation results can be fairly limited and the execution speed can be markedly slow depending on the function of each simulator. To improve the performance of existing simulators, this paper aimed to develop a parallel processing simulator for separate sensor (P2S3) that enables users to selectively use the GPU mode. It enables parallel and independent operations by matching GPU with many cores in order to resolve the slowdown of the execution speed when numerous sensor nodes are used for simulations. Also, P2S3 include the analyzed of sensor nodes with log data and visualization. The P2S3 supports the GPU mode in an environment that allows the operation of compute unified device architecture (CUDA), and performs the parallel simulation processing of multiple sensors using the mode within a short period of time.