Kumwon Cho

Application Parameter Description Scheme for Multiple Job Generation in Problem Solving Environment

In e-science environments, scientists need to execute a scientific application with various parameters multiple times to simulate and experiment complicated problems on the grid. For this, they should write every single job description with distinct parameters even if this is a troublesome task. To provide the flexibility and adaptability for parameter study, we propose an application parameter description language (APDL) and a service oriented parameter study scheme, called a parametric study service (PSS), for parameterized simulations on the grid. The APDL extends the job submission description language (JSDL) to generate parameters for multiple jobs. The proposed PSS provides a unified interface to submit jobs into various middleware platforms such as gLite, Globus, etc. The problem solving environment (PSE) assists a parameter study for their applications and every research fields tend to construct individual own PSE., The proposed PSS can be easily adapted into the specific PSE because of being implemented as Web services. In practice, we apply the APDL and the PSS into aerospace research PSE which carry out the three-dimensional turbulent analysis for compressible flow.

EDISON Platform: A Software Infrastructure for Application-Domain Neutral Computational Science Simulations

This paper describes the design and implementation details of the EDISON platform for computational science simulations. Along with an overview of the EDISON platform, we provide an in-depth explanation of the Science AppStore framework used to acquire application-domain neutrality and the virtualized computing resources/job management framework that provides user authentication, on-demand resources provisioning, simulation/job lifecycle control, and file input/output services, etc. To evaluate the usefulness and functionality of the EDISON platform, as a pilot study, we have applied the EDISON platform to a nano-physics service environment.

On Development of an Open Platform for High Performance Computing Services: Design of TCAD Meta-Data Schema and Its Application to Computational Nanoelectronics

Modeling researches via simulations with aid of high performance computing services (HCPS) have been intensively performed to solve various applied science and engineering problems. As a result, there has been a huge increase of the needs for HPCS platforms, which can make simulation-based research easier to be accessed by students and researchers. A HPCS platform can be composed by components such as preprocessors, technology computer-aided-design softwares (TCAD SWs), visualization tools, computing resource managers, and job schedulers. As no standardized schema to interoperate these components in HPCS platforms have been proposed so far, most of current HPCS platforms provide functionalities to support particular TCAD SWs in particular scientific areas. Here, we discuss the XML-based design of the meta-data schema that can flexibly handle various TCAD SWs in various areas, and demonstrate one example of its successful applications to science gateways, focusing on the field of computational nanoelectronics.

Design of Web Simulation and Content Service on EDISON

In order to help students understand various kinds of phenomena on applications, we design the system structure and service of EDucation-research Integration through Simulation On the Net (EDISON) services. In this paper, we focus on students’ activity who utilizes EDISON simulation and contents service with their lecture notes. The designed web simulation service includes reusing of previous simulation workflow and searching workflow and results. Contents also utilize simulation service to verify the knowledge of contents such as lecture notes, reports, and papers. The designed service helps students to understand the knowledge of their learning materials.

Light-weight service-oriented grid application toolkit

Grid has been focused in a distributed computing community. There has been a lot of research in these areas, especially for design and development of Grid middleware. More recently, the service-oriented architecture based on Web Services rapidly became a major issue. The service-oriented architecture provides a modularized functionality to Grid applications. However, this new technology has some limitations. Web Services basically works with the SOAP protocol, but it is not suitable for massive scientific data. In this paper, we propose MAGE, Modular and Adaptive Grid Environment, which is uses dynamically reconfigurable component architecture with interfaces. MAGE provides several level of transparency to the Grid application development, and it can dynamically reconfigure its architecture to adapt to heterogeneous Grid environments.

Consideration of Improvement in the Educational Activities Using Web-Based Computational Science Platform

Numerous computational science platforms, including EDISON, have broken the previous education focused on theory and providing practical and experiential educational services with various simulation tools and educational contents. This paper analyzed the effectiveness and usability through a survey of university e-lectures and educational competitions using EDISON for better service improvement. In this survey six disciplines were chosen: computational fluid dynamics, nano-electronic device and general physics, computational chemistry, structural analysis, computer aided optimal design, computational bio-medicine. Interestingly, according to the results of the survey, users of each computational science field were already familiar with the user interfaces of the simulation tools they had used before EDISON, and hoped that EDISON would have similar one. In addition, although the effectiveness of learning has been improved through practice, it is difficult for first learners because of quantitative and qualitative shortage of user and theory manuals. Lastly, the most important factor was the lecturers explanation to use the computational science platform and find the meaning of the simulation results. To sum up, back-ups which are documentation and lecturers assistances should be accompanied outside simulation workflows. In the last stage, this study searched for ways to improve the quality through summarizing the requirements, and proposed the direction of EDISON in the future.

Development of Virtual Workbench to Solve Computational Science Problem

Workbench application service for computational science and engineering is usually constructed working in personal computer with a big data input query and output data for example mesh data. Likewise, web-based workbench simulation system (web based workbench application) is required because workbench simulation system has user-friendly UI (User Interface). In this paper, we designed and developed by each requirements and the kind of execution when user whoever access to workbench service on the web invoke simulation project or test their science application to solve a computational science application.

A Development on the SaaS Cloud Scientific Computing Platform for Education and Research in Nanoscience

We have designed a Software as a Service (SaaS), cloud scientific computing platform for education and research in nanoscience areas. Being named as EDISON (EDucation-research Integration through Simulation On the Net) Nanophysics, the service framework presents various Technology Computed-Aided Design (TCAD) software, with which users can study fundamentals of physics, explore properties of nanostructure materials, and design semiconductor devices through using free and easy access web-browsers. Here, we discuss technical focuses of the EDISON Nanophysics with an introduction of its service-status, upon the opening of a service in September 2012.

A design for big data analysis system

Nowadays, the importance of big data processing has been mentioned. So, we propose a data analysis system for big data processing. The proposed system is considered the processing of GPDB and HDFS, and also supports the processing of files, and a relational database. This paper describes a conceptual analysis of the big data processing system, and provides the processed data and display the results.

EDISON Nanophysics: Web-Based e-Learning Platform for Education and Research in Nanoscience

We have developed a web-based e-Learning service for education and research in nanoscience areas. Being named as EDISON (EDucation-research Integration through Simulation On the Net) Nanophysics, the service framework presents various technology computed-aided design (TCAD) tools, with which users can study fundamentals of physics, explore properties of nanostructure materials, and design semiconductor devices with free and easy access via web-browsers. Here we discuss technical focuses of the EDISON Nanophysics with an introduction of its service-status upon the open of a full service in September 2013.