• Title/Summary/Keyword: Remote Computing

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Design and Implementation of the Interoperability method for the Remote OSGi services (원격 OSGi 서비스의 상호운용 기술 설계 및 구현)

  • Kim, Eun-Hoe;Yun, Ki-Hyun;Choi, Jae-Young
    • Journal of Internet Computing and Services
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    • v.12 no.1
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    • pp.11-25
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    • 2011
  • In ubiquitous computing environment, OSGi has applied to many areas such as digital mobile phones, vehicles, telematics, embedded appliances, residential gateways, industrial computers, desktop PCs, and high-end servers including mainframes. Therefore, interoperability is required for remote OSGi services which are built on various devices. In this paper, we proposed a method which was able to interoperate remote OSGi services using RMI paradigm. RMI is a representative middleware technology in distributed computing environment. The suggested method is based on the standard OSGi technology. It is possible to provide remote OSGi service registration, finding, and binding methods which were suitable for the OSGi service-oriented architecture. We also provided reliability of the dynamic remote OSGi services by maintaining consistent properties of them, and we could provide location transparency of the remote OSGi services by generating proxy bundles and proxy services dynamically.

Security-Enhanced Local Process Execution Scheme in Cloud Computing Environments (클라우드 컴퓨팅 환경에서 보안성 향상을 위한 로컬 프로세스 실행 기술)

  • Kim, Tae-Hyoung;Kim, In-Hyuk;Kim, Jung-Han;Min, Chang-Woo;Kim, Jee-Hong;Eom, Young-Ik
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.20 no.5
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    • pp.69-79
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    • 2010
  • In the current cloud environments, the applications are executed on the remote cloud server, and they also utilize computing resources of the remote cloud server such as physical memory and CPU. Therefore, if remote server is exposed to security threat, every applications in remote server can be victim by several security-attacks. Especially, despite many advantages, both individuals and businesses often have trouble to start the cloud services according to the malicious administrator of the cloud server. We propose a security-enhanced local process executing scheme resolving vulnerability of current cloud computing environments. Since secret data is stored in the local, we can protect secret data from security threats of the cloud server. By utilizing computing resource of local computer instead of remote server, high-secure processes can be set free from vulnerability of remote server.

Evaluation of Geo-based Image Fusion on Mobile Cloud Environment using Histogram Similarity Analysis

  • Lee, Kiwon;Kang, Sanggoo
    • Korean Journal of Remote Sensing
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    • v.31 no.1
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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.

Quantitative Application of TM Data in Shallow Geological Structure Reconstruction

  • Yang, Liu;Liqun, Zou;Mingxin, Liu
    • Proceedings of the KSRS Conference
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    • 2003.11a
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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.

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Toward Energy-Efficient Task Offloading Schemes in Fog Computing: A Survey

  • Alasmari, Moteb K.;Alwakeel, Sami S.;Alohali, Yousef
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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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.

Open Source Cloud Computing: An Experience Case of Geo-based Image Handling in Amazon Web Services

  • Lee, Ki-Won
    • Korean Journal of Remote Sensing
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    • v.28 no.3
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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.

Protocol Design for Mutual Authentication of RS_RCCS (RS_RCCS의 상호인증을 위한 프로토콜 설계)

  • Doo, Chang-Ho
    • Journal of the Korea Computer Industry Society
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    • v.7 no.4
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    • pp.271-280
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    • 2006
  • This study is to propose and design a protocol that offers independent authentication with no necessity of certification authority using password between participants in RS_RCCS(Relay Service-based Remote Computing Control System). In RS_RCCS without authentication center that remote service requesters have mutual authentication with many service managers, there needs for a protocol protected from password attacks. Hereupon, this study is to offer an efficient authentication setting and a protocol for RS_RCCS and helpful for the usefulness of resource management.

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The e-Science collaborative research environment using the Cactus and the GridSphere (Cactus와 GridSphere를 이용한 e-Science 협업 연구 환경)

  • Na Jeoung-Su;Cho Kum Won;Song Young Duck;Kim Young Gyun;Ko Soon-Heum
    • 한국전산유체공학회:학술대회논문집
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    • 2005.04a
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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.

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Infrastructure of Grid-based Distributed Remotely Sensed Images Processing Environment and its Parallel Intelligence Algorithms

  • ZHENG, Jiang;LUO, Jian-Cheng;Hu, Cheng;CHEN, Qiu-Xiao
    • Proceedings of the KSRS Conference
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    • 2003.11a
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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.

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A Privacy-preserving Image Retrieval Scheme in Edge Computing Environment

  • Yiran, Zhang;Huizheng, Geng;Yanyan, Xu;Li, Su;Fei, Liu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.2
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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.