• Title/Summary/Keyword: Computing System

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Context-Aware Security System for Cloud Computing Environment (클라우드 컴퓨팅 환경을 위한 상황인식 보안 시스템)

  • Lee, Hyun-Dong;Chung, Mok-Dong
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.6
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    • pp.19-27
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    • 2010
  • Many security issues occur in cloud computing service environment such as authentication, access control, and so on. In this paper, we propose an effective authentication and access control model which provide integrated management and control when we access various resources in cloud computing environment. To address these problems, we suggest a context-aware single sign-on and access control system using context-awareness, integrated authentication, access control, and OSGi service platform in cloud computing environment. And we show design and implementation of context-aware single sign-on and access control system. Also we verified the flexibility and convenience of the proposed system through multi fact based integrated authentication in cloud computing environment. We could provide flexible and secure seamless security service by user context in cloud computing environment.

Eco-System: REC Price Prediction Simulation in Cloud Computing Environment (Eco-System: 클라우드 컴퓨팅환경에서 REC 가격예측 시뮬레이션)

  • Cho, Kyucheol
    • Journal of the Korea Society for Simulation
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    • v.23 no.4
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    • pp.1-8
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    • 2014
  • Cloud computing helps big data processing to make various information using IT resources. The government has to start the RPS(Renewable Portfolio Standard) and induce the production of electricity using renewable energy equipment. And the government manages system to gather big data that is distributed geographically. The companies can purchase the REC(Renewable Energy Certificate) to other electricity generation companies to fill shortage among their duty from the system. Because of the RPS use voluntary competitive market in REC trade and the prices have the large variation, RPS is necessary to predict the equitable REC price using RPS big data. This paper proposed REC price prediction method base on fuzzy logic using the price trend and trading condition infra in REC market, that is modeled in cloud computing environment. Cloud computing helps to analyze correlation and variables that act on REC price within RPS big data and the analysis can be predict REC price by simulation. Fuzzy logic presents balanced REC average trading prices using the trading quantity and price. The model presents REC average trading price using the trading quantity and price and the method helps induce well-converged price in the long run in cloud computing environment.

Factors Affecting the Intention to Use of Personal Cloud Computing Service: A Case of Chinese Users (개인용 클라우드 컴퓨팅 서비스 수용의도에 영향을 미치는 요인: 중국 사례)

  • Kim, Soo-Hyun;Sun, Haoran
    • The Journal of the Korea Contents Association
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    • v.13 no.11
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    • pp.877-884
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    • 2013
  • As the Cloud Computing services are growing fast in the world, the number of Cloud Computing service users are being increased enormously in China. Studies on Intention-to-Use have been one of the interesting topics in the field of marketing. In this paper we investigate the factors influencing the intention-to-use of Cloud Computing services in China. Our research model is based on Technology Acceptance Model and includes 'privacy', 'information needs', 'service types', 'service appropriation', 'system quality', and 'system security'. We surveys the Chinese Cloud Computing service users and analyzes with Structural Equation Model. The results show that 'privacy', 'service appropriation', 'system quality', and 'system security' give positive effects to 'intention-to-use'. However, 'information needs' and 'service types' does not give positive effects.

A Performance Comparison of Parallel Programming Models on Edge Devices (엣지 디바이스에서의 병렬 프로그래밍 모델 성능 비교 연구)

  • Dukyun Nam
    • IEMEK Journal of Embedded Systems and Applications
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    • v.18 no.4
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    • pp.165-172
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    • 2023
  • Heterogeneous computing is a technology that utilizes different types of processors to perform parallel processing. It maximizes task processing and energy efficiency by leveraging various computing resources such as CPUs, GPUs, and FPGAs. On the other hand, edge computing has developed with IoT and 5G technologies. It is a distributed computing that utilizes computing resources close to clients, thereby offloading the central server. It has evolved to intelligent edge computing combined with artificial intelligence. Intelligent edge computing enables total data processing, such as context awareness, prediction, control, and simple processing for the data collected on the edge. If heterogeneous computing can be successfully applied in the edge, it is expected to maximize job processing efficiency while minimizing dependence on the central server. In this paper, experiments were conducted to verify the feasibility of various parallel programming models on high-end and low-end edge devices by using benchmark applications. We analyzed the performance of five parallel programming models on the Raspberry Pi 4 and Jetson Orin Nano as low-end and high-end devices, respectively. In the experiment, OpenACC showed the best performance on the low-end edge device and OpenSYCL on the high-end device due to the stability and optimization of system libraries.

A Case Study of Mainframe Load Reduction Using The Client and Server Model (클라이언트/서버 모델에 의한 메인프레임 부하 분산 사례연구)

  • 고광병;공승욱;권기목;강창언
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.8
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    • pp.1628-1639
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    • 1994
  • In order to increase the utilization of the computing resources, universities connect a variety of computing resources such as mainframes, workstations, and personal computers via LAN. However, due to management and security reasons, most administrative applications are concentrated on mainframes which is the main cause of large work overload on mainframes for such applications as on-line course registration system where the entire student body must have access to the system during a short period of time. In this study, using a university system as the model and choosing on-line course registration system as the targeted distributed computing. APPC through IBM SNALU 6.2 link is proposed as the most appropriate means of distributed computing for the environment of the model university. In addition, the on-line course registration system is redesigned as client-server model where a mainframe serves as the file server responsible for file input and output and workstations becomes the client. Actual implementation and experiments have shown that the proposed distributed computing system yields a significant reduction in processing time.

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Implementation of Ring Topology Interconnection Network with PCIe Non-Transparent Bridge Interface (PCIe Non-Transparent Bridge 인터페이스 기반 링 네트워크 인터커넥트 시스템 구현)

  • Kim, Sang-Gyum;Lee, Yang-Woo;Lim, Seung-Ho
    • KIPS Transactions on Computer and Communication Systems
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    • v.8 no.3
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    • pp.65-72
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    • 2019
  • HPC(High Performance Computing) is the computing system that connects a number of computing nodes with high performance interconnect network. In the HPC, interconnect network technology is one of the key player to make high performance systems, and mainly, Infiniband or Ethernet are used for interconnect network technology. Nowadays, PCIe interface is main interface within computer system in that host CPU connects high performance peripheral devices through PCIe bridge interface. For connecting between two computing nodes, PCIe Non-Transparent Bridge(NTB) standard can be used, however it basically connects only two hosts with its original standards. To give cost-effective interconnect network interface with PCIe technology, we develop a prototype of interconnect network system with PCIe NTB. In the prototyped system, computing nodes are connected to each other via PCIe NTB interface constructing switchless interconnect network such as ring network. Also, we have implemented prototyped data sharing mechanism on the prototyped interconnect network system. The designed PCIe NTB-based interconnect network system is cost-effective as well as it provides competitive data transferring bandwidth within the interconnect network.

Internet Service Evaluation System: A Design Science Research

  • Babunji, Lujen;Alzahrani, Shahad;Almarghalani, Shada;Babour, Amal;Bitar, Hind
    • International Journal of Computer Science & Network Security
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    • v.22 no.8
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    • pp.35-44
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    • 2022
  • The Internet is extremely important to accomplish numerous items, from education to businesses and entertainment. Therefore, the quality of its performance must be efficient. Nowadays, there is a lack of information available for users to choose a suitable Internet service. What information is available might be insufficient, inaccurate, or regularly updated. Accordingly, there is a need to develop an electronic system that enables users to evaluate their current Internet service subscription. Several factors are used as evaluation criteria in the system that affect users' decisions. In this paper, a prototype of a design science research project is proposed to address a few objectives. First, it can help Internet service users in Saudi Arabia to make the best decision for themselves regarding Internet services subscriptions. Second, it can assist the Saudi government to seek one of the 2030 vision goals: the digital transformation that depends on having a good Internet connection. The proposed solution is a promising one that would help Internet service users to make the best decision for themselves and choose the best Internet service that fits their needs. A qualitative method has been used to evaluate the efficiency and the utility of the proposed system prototype. The results showed the extent of participants' acceptance of the Internet Service Evaluation System.

Context Awareness in Ubiquitous Computing

  • Park, Young-Tack
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2004.11a
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    • pp.119-136
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    • 2004
  • ㆍuT ontologies can enable context awareness to represent more rich information. ㆍOntologies enable uT agents to reason about dynamic contexts. ㆍMulti agents can use ontologies to communicate between agents.

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