• 제목/요약/키워드: Cloud Network

검색결과 834건 처리시간 0.028초

QoS-Based and Network-Aware Web Service Composition across Cloud Datacenters

  • Wang, Dandan;Yang, Yang;Mi, Zhenqiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권3호
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    • pp.971-989
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    • 2015
  • With the development of cloud computing, more and more Web services are deployed on geo-distributed datacenters and are offered to cloud users all over the world. Through service composition technologies, these independent fine-grain services can be integrated to value-added coarse-grain services. During the composition, a number of Web services may provide the same function but differ in performance. In addition, the distribution of cloud datacenters presents a geographically dispersive manner, which elevates the impact of the network on the QoS of composite services. So it is important to select an optimal composition path in terms of QoS when many functionally equivalent services are available. To achieve this objective, we first present a graph model that takes both QoS of Web services and QoS of network into consideration. Then, a novel approach aiming at selecting the optimal composition path that fulfills the user's end-to-end QoS requirements is provided. We evaluate our approach through simulation and compare our method with existing solutions. Results show that our approach significantly outperforms existing solutions in terms of optimality and scalability.

초기 생성과 사용자 추가를 고려한 VANET 클라우드 아키텍처 (Supplements an Initial Creation and User Addition in VANET Cloud Architecture)

  • 김태형;송주석
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제3권12호
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    • pp.449-454
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    • 2014
  • 무인 자동차의 시대가 도래하면서, 차량 간 통신 네트워크인 Vehicular Ad hoc NETwork(VANET)의 중요성이 점점 더해지고 있다. 지금까지 VANET의 연구가 많이 진행되었으나, 기존의 연구는 각 자동차의 통신적인 측면만 연구하고, 차량에 설치된 On Board Unit(OBU)의 계산 능력, 저장 공간 등을 효율적으로 사용하지 못하는 한계점이 있었다. 그러나 최근 나온 VANET cloud computing(VCC) 개념은 높아진 각 자동차의 능력을 효율적으로 이용하여, 유용하게 사용하는 것에 초점을 맞추어 이러한 한계점을 해결하였다. 그러나 지금까지 진행된 연구에서는 VCC의 초기 클라우드 생성 부분과 사용자 추가 부분의 연구가 미흡한 실정이다. 본 논문은 이러한 부분을 보완한, VCC 아키텍처를 제안한다.

클라우드 기반 스마트 사무환경 구축을 위한 지능형 세이프 네트워크 기술 (Intelligent Safe Network Technology for the Smart Working Environments based on Cloud)

  • 김석훈;김귀정
    • 디지털융복합연구
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    • 제12권12호
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    • pp.345-350
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    • 2014
  • 다양한 모바일 단말을 활용한 스마트 워크에 대한 수요 증가 및 클라우드, 웨어러블 컴퓨팅, 차세대 유 무선 통신망 등과 같은 융합형 인프라 기반의 서비스 증가에 따라 네트워크의 신뢰성이 매우 중요한 문제로 대두되고 있다. 그러나, 아직까지 이러한 융합형 인프라 기반의 서비스 제공 시 네트워크의 신뢰성을 제공하는 방안에 대한 연구는 거의 이루어지지 않고 있다. 따라서, 본 논문에서는 이러한 문제를 해결하고 클라우드 기반 사무환경 구축시 적용할 수 있는 ISNTC (Intelligent Safe Network Technology based on Cloud)를 제안한다. 제안하는 ISNTC는 SDN (Software Defined Network) 기반의 세이프 네트워크 기술을 활용하여 사용자 데이터를 전송하는 방식이며, 동기화된 전송 경로 및 전송 타이밍을 통해 안전한 데이터 전송을 보장한다. 제안한 ISNTC의 성능 평가는 OPnet 기반의 시뮬레이션을 통해 이루어졌으며, 이를 통해 제안한 방안의 우수성을 검증하였다.

Energy Efficient Software Development Techniques for Cloud based Applications

  • Aeshah A. Alsayyah;Shakeel Ahmed
    • International Journal of Computer Science & Network Security
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    • 제23권7호
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    • pp.119-130
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    • 2023
  • Worldwide organizations use the benefits offered by Cloud Computing (CC) to store data, software and programs. While running hugely complicated and sophisticated software on cloud requires more energy that causes global warming and affects environment. Most of the time energy consumption is wasted and it is required to explore opportunities to reduce emission of carbon in CC environment to save energy. Many improvements can be done in regard to energy efficiency from the software perspective by considering and paying attention on the energy consumption aspects of software's that run on cloud infrastructure. The aim of the current research is to propose a framework with an additional phase called parameterized development phase to be incorporated along with the traditional Software Development Life cycle (SDLC) where the developers need to consider the suggested techniques during software implementation to utilize low energy for running software on the cloud and contribute in green computing. Experiments have been carried out and the results prove that the suggested techniques and methods has enabled in achieving energy consumption.

DEVELOPING THE CLOUD DETECTION ALGORITHM FOR COMS METEOROLOGICAL DATA PROCESSING SYSTEM

  • Chung, Chu-Yong;Lee, Hee-Kyo;Ahn, Hyun-Jung;Ahn, Hyoung-Hwan;Oh, Sung-Nam
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.200-203
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    • 2006
  • Cloud detection algorithm is being developed as major one of the 16 baseline products of CMDPS (COMS Meteorological Data Processing System), which is under development for the real-time application of data will be observed from COMS Meteorological Imager. For cloud detection from satellite data, we studied two different algorithms. One is threshold technique based algorithm, which is traditionally used, and another is artificial neural network model. MPEF scene analysis algorithm is the basic idea of threshold cloud detection algorithm, and some modifications are conducted for COMS. For the neural network, we selected MLP with back-propagation algorithm. Prototype software of each algorithm was completed and evaluated by using the MTSAT-1R and GOES-9 data. Currently the software codes are standardized using Fortran90 language. For the preparation as an operational algorithm, we will setup the validation strategy and tune up the algorithm continuously. This paper shows the outline of the two cloud detection algorithm and preliminary test result of both algorithms.

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B2C 클라우드 서비스 채택의도의 영향요인에 관한 연구 (A Study on the Adoption Behavior of B2C Public Cloud Service in Korea)

  • 노두환;장석권
    • 한국경영과학회지
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    • 제37권3호
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    • pp.57-68
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    • 2012
  • The recent proliferation of various smart devices like the smartphone, tablet PC, and smart TV enables consumers to download various applications from the network and to access private files stored in their desktop server at any time and at any place. The trend of ubiquitous access seems to have become stronger and more diversified toward a ubiquitous network computing environment with the aggressive deployment of commercial cloud services. Recently, many Korean network service providers launched commercial B2C public cloud services, which were widely adopted by smart device users. They include Daum cloud, N drive, ucloud, and uplus box, mostly provided by major Korean telecom companies and portals. This paper aims to explore consumers' adoption behaviors toward the B2C public cloud services that were recently deployed in the Korean market. In order to achieve the goal, we identified key influencing factors that affect the consumers' adoption behaviors, based on an extension of the technology acceptance model (TAM). Several hundred smart device users were surveyed to test the generic regression model with the extended set of TAM variables.

하이브리드형 클라우드 시스템에 관한 연구 (Study on Hybrid Type Cloud System)

  • 장재열;김도문;최철재
    • 한국전자통신학회논문지
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    • 제11권6호
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    • pp.611-618
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    • 2016
  • 제안한 논문은 통신 네트워크 및 관련 시스템 기술에 관한 연구로 USB메모리와 클라우드 스토리지 영역을 동시에 동기화하여 네트워크 오류에 따른 클라우드 스토리지 영역 사용부재 또는 USB 메모리를 분실하는 상황이 발생되더라도 데이터를 안전하게 유지관리하기 위한 기술설계이다. 클라우드를 활용하는 사용자들의 안전한 문서관리 정책의 필요성을 기반으로 매체의 분실 및 네트워크의 오류에 따른 대책을 하이브리드형 클라우드 시스템으로 설계구축하고, 사용자의 편리성에 따른 자동 및 수동 동기화 방법을 설계한다. 마지막으로 윈도우즈 환경에 적합한 사용자의 편의보장을 위해 탐색기형 스토리지 UI를 설계함으로써 점차 늘어나는 클라우드 사용자의 안전성과 편리성을 모두 보장해주기 위한 시스템설계이다.

Developing the Cloud Detection Algorithm for COMS Meteorolgical Data Processing System

  • Chung, Chu-Yong;Lee, Hee-Kyo;Ahn, Hyun-Jung;Ahn, Myoung-Hwan;Oh, Sung-Nam
    • 대한원격탐사학회지
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    • 제22권5호
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    • pp.367-372
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    • 2006
  • Cloud detection algorithm is being developed as primary one of the 16 baseline products of CMDPS (COMS Meteorological Data Processing System), which is under development for the real-time application of data will be observed from COMS Meteorological Imager. For cloud detection from satellite data, we studied two different algorithms. One is threshold technique based algorithm, which is traditionally used, and another is artificial neural network model. MPEF scene analysis algorithm is the basic idea of threshold cloud detection algorithm, and some modifications are conducted for COMS. For the neural network, we selected MLP with back-propagation algorithm. Prototype software of each algorithm was completed and evaluated by using the MTSAT-IR and GOES-9 data. Currently the software codes are standardized using Fortran90 language. For the preparation as an operational algorithm, we will setup the validation strategy and tune up the algorithm continuously. This paper shows the outline of the two cloud detection algorithms and preliminary test results of both algorithms.

A Cloud-Edge Collaborative Computing Task Scheduling and Resource Allocation Algorithm for Energy Internet Environment

  • Song, Xin;Wang, Yue;Xie, Zhigang;Xia, Lin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권6호
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    • pp.2282-2303
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    • 2021
  • To solve the problems of heavy computing load and system transmission pressure in energy internet (EI), we establish a three-tier cloud-edge integrated EI network based on a cloud-edge collaborative computing to achieve the tradeoff between energy consumption and the system delay. A joint optimization problem for resource allocation and task offloading in the threetier cloud-edge integrated EI network is formulated to minimize the total system cost under the constraints of the task scheduling binary variables of each sensor node, the maximum uplink transmit power of each sensor node, the limited computation capability of the sensor node and the maximum computation resource of each edge server, which is a Mixed Integer Non-linear Programming (MINLP) problem. To solve the problem, we propose a joint task offloading and resource allocation algorithm (JTOARA), which is decomposed into three subproblems including the uplink transmission power allocation sub-problem, the computation resource allocation sub-problem, and the offloading scheme selection subproblem. Then, the power allocation of each sensor node is achieved by bisection search algorithm, which has a fast convergence. While the computation resource allocation is derived by line optimization method and convex optimization theory. Finally, to achieve the optimal task offloading, we propose a cloud-edge collaborative computation offloading schemes based on game theory and prove the existence of Nash Equilibrium. The simulation results demonstrate that our proposed algorithm can improve output performance as comparing with the conventional algorithms, and its performance is close to the that of the enumerative algorithm.

Reference Architecture and Operation Model for PPP (Public-Private-Partnership) Cloud

  • Lee, Youngkon;Lee, Ukhyun
    • Journal of Information Processing Systems
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    • 제17권2호
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    • pp.284-296
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    • 2021
  • The cloud has already become the core infrastructure of information systems, and government institutions are rapidly migrating information systems to the cloud. Government institutions in several countries use private clouds in their closed networks. However, because of the advantages of public clouds over private clouds, the demand for public clouds is increasing, and government institutions are expected to gradually switch to public clouds. When all data from government institutions are managed in the public cloud, the biggest concern for government institutions is the leakage of confidential data. The public-private-partnership (PPP) cloud provides a solution to this problem. PPP cloud is a form participation in a public cloud infrastructure and the building of a closed network data center. The PPP cloud prevents confidential data leakage and leverages the benefits of the public cloud to build a cloud quickly and easily maintain the cloud. In this paper, based on the case of the PPP cloud applied to the Korean government, the concept, architecture, operation model, and contract method of the PPP cloud are presented.