• Title/Summary/Keyword: Cloud Infrastructure

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Deployment Strategies of Cloud Computing System for Defense Infrastructure Enhanced with High Availability (고가용성 보장형 국방 클라우드 시스템 도입 전략)

  • Kang, Ki-Wan;Park, Jun-Gyu;Lee, Sang-Hoon;Park, Ki-Woong
    • The Journal of Korean Institute of Next Generation Computing
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    • v.15 no.3
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    • pp.7-15
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    • 2019
  • Cloud computing markets are rapidly growing as cost savings and business innovation are being carried out through ICT worldwide. In line with this paradigm, the nation is striving to introduce cloud computing in various areas, including the public sector and defense sector, through various research. In the defense sector, DIDC was established in 2015 by integrating military, naval, air and military computing centers, and it provides cloud services in the form of IaaS to some systems in the center. In DIDC and various future cloud defense systems, It is an important issue to ensure availability in cloud defense systems in the defense sector because system failures such as network delays and system resource failures are directly linked to the results of battlefields. However, ensuring the highest levels of availability for all systems in the defense cloud can be inefficient, and the efficiency that can be gained from deploying a cloud system can be reduced. In this paper, we classify and define the level of availability of defense cloud systems step by step, and propose the strategy of introducing Erasure coding and failure acceptance systems, and disaster recovery system technology according to each level of availability acquisition.

Cloud-based Healthcare data management Framework

  • Sha M, Mohemmed;Rahamathulla, Mohamudha Parveen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.3
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    • pp.1014-1025
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    • 2020
  • Cloud computing services changed the way the data are managed across the healthcare system that can improve patient care. Currently, most healthcare organizations are using cloud-based applications and related services to deliver better healthcare facilities. But architecting a cloud-based healthcare system needs deep knowledge about the working nature of these services and the requirements of the healthcare environment. The success is based on the usage of appropriate cloud services in the architecture to manage the data flow across the healthcare system.Cloud service providers offer a wide variety of services to ingest, store and process healthcare data securely. The top three public cloud providers- Amazon, Google, and Microsoft offers advanced cloud services for the solution that the healthcare industry is looking for. This article proposes a framework that can effectively utilize cloud services to handle the data flow among the various stages of the healthcare infrastructure. The useful cloud services for ingesting, storing and analyzing the healthcare data for the proposed framework, from the top three cloud providers are listed in this work. Finally, a cloud-based healthcare architecture using Amazon Cloud Services is constructed for reference.

Study on the Job Execution Time of Mobile Cloud Computing (모바일 클라우드 컴퓨팅의 작업 실행 시간에 대한 연구)

  • Jung, Sung Min;Kim, Tae Kyung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.1
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    • pp.99-105
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    • 2012
  • Given the numbers of smartphones, tablets and other mobile devices shipped every day, more and more users are relying on the cloud as the main driver for satisfying their computing needs, whether it is data storage, applications or infrastructure. Mobile cloud computing is simply cloud computing in which at least some of the devices involved are mobile. Each node is owned by a different user and is likely to be mobile. Using mobile hardware for cloud computing has advantages over using traditional hardware. These advantage include computational access to multimedia and sensor data without the need for large network transfer, more efficient access to data stored on other mobile devices and distributed ownership and maintenance of hardware. It is important to predict job execution time in mobile cloud computing because there are many mobile nodes with different capabilities. This paper analyzes the job execution time for mobile cloud computing in terms of network environment and heterogeneous mobile nodes using a mathematical model.

Design and Implementation of virtualized infrastructure manager based on Micro Service Architecture (마이크로 서비스 아키텍쳐 기반 가상 인프라 매니저 설계 및 구현)

  • Na, TaeHeum;Park, PyungKoo;Ryu, HoYong
    • Journal of Digital Contents Society
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    • v.19 no.4
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    • pp.809-814
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    • 2018
  • With the proliferation of cloud computing infrastructures, service providers are able to deploy services in on-demand manner. Recently, microservice architecture has been attracting attention in order to maximize the efficiency of resource expansion in cloud infrastructure. Instead of implementing all of the service functions in a single software, service providers can easily and autonomously implement the necessary services by interconnecting the necessary services through an efficiently designed application programming interface (API). Moreover service developer can freely choice programming languages and define software, and functional structures to meet their functional requirements. In this paper, we propose virtual infrastructure manager service based on microservice architecture and evaluates its performance in scalability perspective.

A Study on the Current Status of the Central Government's Cloud System Adoption (중앙행정기관의 클라우드 시스템 도입 현황)

  • Yu, Young-Moon
    • Journal of Korean Society of Archives and Records Management
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    • v.19 no.3
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    • pp.247-270
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    • 2019
  • The transition of the central government system to the cloud-based infrastructure is being conducted as the National Information Resources Service (NIRS, Ministry of the Interior and Safety) attempts to integrate government IT resources. In the early days, the transition was attempted as an infrastructure as a service (IaaS) for the cloud service of HW; however, currently, ithe transition is being converted to software as a service (SaaS) for the service of common business. Typical and common business is a document creation for government service and records management. Document creation is produced on cloud On-Nara system, and such system is deployed to central government agencies from 2015 to 2018, as well as the deployment to local government plans is to be gradually implemented after 2018. Currently, the records management is performed with the cloud RMS system, and such system is distributed to the central government from 2016 to 2018, as well as the dissemination to the local government is scheduled to be carried out, considering the adoption of the On-Nara system.

A Case Analysis on the Effects of Cloud Adoption on Service Continuity - Focusing on Failures (클라우드 도입이 서비스 연속성에 미치는 영향에 관한 사례 분석 - 장애 중심으로)

  • Ji-Yong Huh;Joon-Hee Yoon;Eun-Kyong Han
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.4
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    • pp.121-126
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    • 2023
  • As service utilization for IT technologies such as artificial intelligence, big data, and IOT has recently increased, cloud computing has been introduced to efficiently manage vast amounts of data and IT infrastructure resources that process them to provide stable and reliable information services while streamlining infrastructure costs. Efforts for this are ongoing. This thesis compares and analyzes the operation results before and after cloud adoption in terms of system failures for 426 systems at 360 branches nationwide in cloud systems of companies operating a total of 1,750 cloud systems. As a result of the analysis, the number of failures and failure types , service downtime, etc., the introduction of the cloud yielded significant results in securing service continuity. Through this result, it is expected to provide meaningful implications to companies expecting to secure service continuity by adopting the cloud.

Efficient Top-K Queries Computation for Encrypted Data in the Cloud (클라우드 환경에서의 암호화 데이터에 대한 효율적인 Top-K 질의 수행 기법)

  • Kim, Jong Wook
    • Journal of Korea Multimedia Society
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    • v.18 no.8
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    • pp.915-924
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    • 2015
  • With growing popularity of cloud computing services, users can more easily manage massive amount of data by outsourcing them to the cloud, or more efficiently analyse large amount of data by leveraging IT infrastructure provided by the cloud. This, however, brings the security concerns of sensitive data. To provide data security, it is essential to encrypt sensitive data before uploading it to cloud computing services. Although data encryption helps provide data security, it negatively affects the performance of massive data analytics because it forbids the use of index and mathematical operation on encrypted data. Thus, in this paper, we propose a novel algorithm which enables to efficiently process a large amount of encrypted data. In particular, we propose a novel top-k processing algorithm on the massive amount of encrypted data in the cloud computing environments, and verify the performance of the proposed approach with real data experiments.

The Construction and Utilization of Cloud Computing Environment with Openstack (Openstack을 이용한 Cloud Computing 환경 구축 및 활용)

  • Kim, YoungHoon;Ji, Hoyoung;Moon, BongKyo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.60-63
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    • 2017
  • Cloud Computing 환경은 사용자로 하여금 네트워크를 통하여 운영플랫폼, 저장매체 등이 운영 가능한 컴퓨터 자원을 신속하게 이용할 수 있는 컴퓨팅 환경이다. 이 환경을 이용하여 사용자들에게 가상의 컴퓨팅 공간을 만들어 resource를 사용하게 만들어주는 Iaas(Infrastructure as a Service)가 급증하고 있다. OpenStack은 Cloud Computing 환경을 이용하여 사용자로 하여금 *aaS제공을 가능하게 해주는 오픈소스 소프트웨어 프로젝트이다. 이 연구는 Openstack을 활용하여 Cloud환경을 구축하고, 이를 활용 하는 방안에 대한 연구이다. GitLab를 이용한 GitLab Service Launching을 시도하고, Hadoop을 통하여 Cloud 환경을 활용한 분산처리 시스템을 구현, Cloud의 활용 방안을 탐구한다.

Round Robin with Server Affinity: A VM Load Balancing Algorithm for Cloud Based Infrastructure

  • Mahajan, Komal;Makroo, Ansuyia;Dahiya, Deepak
    • Journal of Information Processing Systems
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    • v.9 no.3
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    • pp.379-394
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    • 2013
  • Cloud computing is an evolving computing paradigm that has influenced every other entity in the globalized industry, whether it is in the public sector or the private sector. Considering the growing importance of cloud, finding new ways to improve cloud services is an area of concern and research focus. The limitation of the available Virtual Machine Load balancing policies for cloud is that they do not save the state of the previous allocation of a virtual machine to a request from a Userbase and the algorithm requires execution each time a new request for Virtual Machine allocation is received from the Userbase. This problem can be resolved by developing an efficient virtual machine load balancing algorithm for the cloud and by doing a comparative analysis of the proposed algorithm with the existing algorithms.

Analysis of Influence Factors on the Intention to Use Personal Cloud Computing (개인용 클라우드 컴퓨팅 사용에 미치는 영향요인 분석)

  • Ryu, Jae Hong;Moon, Hye Young;Choi, Jinho
    • Journal of Information Technology Services
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    • v.12 no.4
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    • pp.319-335
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    • 2013
  • Cloud computing allows users to access software or specific programs that support the cloud platform through an information communicating device that can connect to the internet anywhere or anytime. Also, the cloud architecture not only reduces the expenses of IT infrastructure construction and maintenance, but also speeds up processing and mobility, which leads to a significant ease of use. In spite of the advantages of cloud computing, previous studies have been centered on case studies of the execution, advantages, and problems of cloud computing. In contrast, empirical research on individual cloud computing up till now is very insufficient. Thus, the research aims to create a model of an individual user's perspective and verify validation. This study reveals types of influence that characteristics can have on an individual user's intention to use, by searching the characteristics that the individual user recognizes on cloud computing services. The results are as follows:first, the characteristics of cloud computing indicates a significant influence on usage intention. Second, all characteristics in cloud computing, accessibility, reliability, perceived ease of use, and fusibility, are confirmed in providing significant influences in shaping social influence forms. Third, social influence has a significant influence on usage intention.