• 인터넷정보학회논문지
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• 제12권1호
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• pp.11-25
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• 2011

유비쿼터스 환경의 OSGi는 디지털 이동 전화, 차량, 텔레메틱스, 임베디드 가전, 가정용 게이트웨이, 산업용 컴퓨터, 데스크탑 컴퓨터, 고성능 서버에 이르기까지 그 적용범위가 확대되고 있다. 따라서 다양한 장비에 탑재된 OSGi 프레임워크의 서비스들을 상호운용할 수 있는 기술이 필요하게 되었다. 본 논문에서는 분산 OSGi 프레임워크에서 원격 서비스의 상호운용을 지원하기 위하여 대표적인 분산 미들웨어 기술인 RMI 패러다임을 적용한 원격 OSGi 서비스 상호운영 방안을 제안한다. 제안하는 원격 OSGi 서비스 상호운용 방안은 OSGi 표준 기술을 활용 및 확장하여 서비스 지향적인 OSGi 아키텍처에 부합하는 원격서비스의 등록 및 발견, 접근 방법을 제공하며, 동적으로 변하는 원격 서비스들의 속성을 일관성 있게 유지하여 원격서비스에 대한 신뢰성을 지원한다. 또한 동적으로 프락시 번들 및 프락시 서비스를 생성함으로써 원격 OSGi 서비스의 위치 투명성을 지원하는 특징을 가진다.

• 정보보호학회논문지
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• 제20권5호
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• pp.69-79
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• 2010

기존 클라우드 환경에서는 어플리케이션의 수행이 원격지 클라우드 서버에서 이루어지며, 해당 어플리케이션이 사용하는 물리 메모리, CPU 등 컴퓨팅 자원 역시 원격지 클라우드 서버에 존재한다. 따라서 원격지 서버가 보안 위협에 노출될 경우, 해당 환경에서 실행되는 모든 어플리케이션들이 보안 위협에 의해 영향 받을 수 있다. 특히, 악의적인 클라우드 서버 관리자에 의한 보안 위협으로 인하여, 비즈니스 모델로 많은 이점이 있음에도 불구하고 개인 및 기업 환경에서 클라우드 서비스를 도입하는데 어려움을 겪고 있다. 본 논문에서는 기존 클라우드 컴퓨팅 환경의 취약점을 근본적으로 해결할 수 있는 로컬 프로세스 실행 기술을 제안한다. 이를 통해, 기밀 데이터를 클라우드 서버가 아닌 로컬에 둘 수 있게 되어, 클라우드 서버에서 발생 가능한 보안 위협으로부터 기밀 데이터를 보호할 수 있게 된다. 즉, 보안 데이터를 사용하는 어플리케이션의 경우, 로컬 프로세스 실행 기술을 이용하여 원격지 서버가 아닌 로컬의 컴퓨팅 자원을 사용하여 실행할 수 있도록 설계한다. 이에 따라 보안 프로세스가 사용하는 자원들이 물리적으로 로컬에 존재하므로 원격지 서버의 취약성 문제를 해결할 수 있다.

• 대한원격탐사학회지
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• 제31권1호
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• pp.1-9
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• 2015

Mobility and cloud platform have become the dominant paradigm to develop web services dealing with huge and diverse digital contents for scientific solution or engineering application. These two trends are technically combined into mobile cloud computing environment taking beneficial points from each. The intention of this study is to design and implement a mobile cloud application for remotely sensed image fusion for the further practical geo-based mobile services. In this implementation, the system architecture consists of two parts: mobile web client and cloud application server. Mobile web client is for user interface regarding image fusion application processing and image visualization and for mobile web service of data listing and browsing. Cloud application server works on OpenStack, open source cloud platform. In this part, three server instances are generated as web server instance, tiling server instance, and fusion server instance. With metadata browsing of the processing data, image fusion by Bayesian approach is performed using functions within Orfeo Toolbox (OTB), open source remote sensing library. In addition, similarity of fused images with respect to input image set is estimated by histogram distance metrics. This result can be used as the reference criterion for user parameter choice on Bayesian image fusion. It is thought that the implementation strategy for mobile cloud application based on full open sources provides good points for a mobile service supporting specific remote sensing functions, besides image fusion schemes, by user demands to expand remote sensing application fields.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1313-1315
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• 2003

This paper is dedicated to studying the quantitative analysis method with remote-sensing data in shallow geological structure reconstruction by the example of TM data in western China. A new method of computing attitude of geological contacts from remote-sensing data is developed and assessed. We generate several geological profiles with remotely derived measurements to constrain the shallow geological structure reconstruction in three dimensions.

• International Journal of Computer Science & Network Security
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• 제22권3호
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• pp.163-172
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• 2022

The interconnection of an enormous number of devices into the Internet at a massive scale is a consequence of the Internet of Things (IoT). As a result, tasks offloading from these IoT devices to remote cloud data centers become expensive and inefficient as their number and amount of its emitted data increase exponentially. It is also a challenge to optimize IoT device energy consumption while meeting its application time deadline and data delivery constraints. Consequently, Fog Computing was proposed to support efficient IoT tasks processing as it has a feature of lower service delay, being adjacent to IoT nodes. However, cloud task offloading is still performed frequently as Fog computing has less resources compared to remote cloud. Thus, optimized schemes are required to correctly characterize and distribute IoT devices tasks offloading in a hybrid IoT, Fog, and cloud paradigm. In this paper, we present a detailed survey and classification of of recently published research articles that address the energy efficiency of task offloading schemes in IoT-Fog-Cloud paradigm. Moreover, we also developed a taxonomy for the classification of these schemes and provided a comparative study of different schemes: by identifying achieved advantage and disadvantage of each scheme, as well its related drawbacks and limitations. Moreover, we also state open research issues in the development of energy efficient, scalable, optimized task offloading schemes for Fog computing.

• 대한원격탐사학회지
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• 제28권3호
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• pp.337-346
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• 2012

In the view from most application system developers and users, cloud computing becomes popular in recent years and is still evolving. But in fact it is not easy to reach at the level of actual operations. Despite, it is known that the cloud in the practical stage provides a new pattern for deploying a geo-spatial application. However, domestically geo-spatial application implementation and operation based on this concept or scheme is on the beginning stage. It is the motivation of this works. Although this study is an introductory level, a simple and practical processed result was presented. This study was carried out on Amazon web services platform, as infrastructure as a service in the geo-spatial areas. Under this environment, cloud instance, a web and mobile system being previously implemented in the multi-layered structure for geo-spatial open sources of database and application server, was generated. Judging from this example, it is highly possible that cloud services with the functions of geo-processing service and large volume data handling are the crucial point, leading a new business model for civilian remote sensing application and geo-spatial enterprise industry. The further works to extend geo-spatial applications in cloud computing paradigm are left.

• 한국컴퓨터산업학회논문지
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• 제7권4호
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• pp.271-280
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• 2006

본 연구는 중계형 서비스 기반 원격 컴퓨터 제어 시스템(RS_RCCS Relay Sevice-based Remote Computing Control System)에서 참여자 사이에 패스워드를 이용한 인증센터가 필요 없이 독립적 인증을 제공할 수 있는 프로토콜을 제안하고 이를 설계하고자 한다. RS_RCCS 에서의 인증센터가 존재하지 않는 인증구조에서 구조적으로 원격 서비스 요청자들이 다수의 관리자와의 상호 인증 과정이 요구되며 이에 예상되는 패스워드 공격에 안전하게 보호될 수 있는 프로토콜이 필요로 한다. 이에 본 연구는 효율적인 RS_RCCS에 대한 인증 설정과 이에 대한 프로토콜을 연구하여 원격 제어 부분의 자원 관리의 유용성에 도움이 되고자 한다.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2005년도 춘계 학술대회논문집
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• pp.35-40
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• 2005

Up to recently, with the improvement of a computer power and high speed of network technology, advanced countries have researched a construction of the e-Science environment. As a major application part, a construction for environment of CFD, also, have studied together. During the research, people realize that not sharing hardware but also appropriate software development is really important to realize the environment. This paper describes about a construction of a collaborative research environment in the KISTI: Clients can connect to the computing resources through the web portal, run the Cactus simulation.: According to the computing resources, the simulation can migrate to some site to find better computing power.: Result of the calculation visualize at the web portal directly so that researchers of remote site can be share and analyze the result collaborative ways.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1284-1286
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• 2003

There is a growing demand on remotely sensed and GIS data services in modern society. However, conventional WEB applications based on client/server pattern can not meet the criteria in the future . Grid computing provides a promising resolution for establishing spatial information system toward future applications. Here, a new architecture of the distributed environment for remotely sensed data processing based on the middleware technology was proposed. In addition, in order to utilize the new environment, a problem had to be algorithmically expressed as comprising a set of concurrently executing sub-problems or tasks. Experiment of the algorithm was implemented, and the results show that the new environmental can achieve high speedups for applications compared with conventional implementation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권2호
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• pp.450-470
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• 2023

Traditional cloud computing faces some challenges such as huge energy consumption, network delay and single point of failure. Edge computing is a typical distributed processing platform which includes multiple edge servers closer to the users, thus is more robust and can provide real-time computing services. Although outsourcing data to edge servers can bring great convenience, it also brings serious security threats. In order to provide image retrieval while ensuring users' data privacy, a privacy preserving image retrieval scheme in edge environment is proposed. Considering the distributed characteristics of edge computing environment and the requirement for lightweight computing, we present a privacy-preserving image retrieval scheme in edge computing environment, which two or more "honest but curious" servers retrieve the image quickly and accurately without divulging the image content. Compared with other traditional schemes, the scheme consumes less computing resources and has higher computing efficiency, which is more suitable for resource-constrained edge computing environment. Experimental results show the algorithm has high security, retrieval accuracy and efficiency.