• 제목/요약/키워드: Service Cloud

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클라우드 서비스 중개를 위한 가변성 기반의 서비스 명세 기법 (Variability-based Service Specification Method for Brokering Cloud Services)

  • 안영민;박준석;염근혁
    • 정보과학회 컴퓨팅의 실제 논문지
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    • 제20권12호
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    • pp.664-669
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    • 2014
  • 클라우드 컴퓨팅 패러다임이 성행하면서 IaaS, PaaS, SaaS 유형의 클라우드 서비스가 나타나고 있다. 제공되는 클라우드 서비스의 다양화로 인해 클라우드 테넌트(사용자)의 요구사항에 적합한 클라우드 서비스를 중개하는 기술인 서비스 브로커 기술이 최근 들어 관심을 받고 있다. 클라우드 서비스를 중개하기 위해서 다양한 클라우드 서비스의 체계적인 등록, 분석, 검색을 지원할 수 있는 클라우드 서비스 명세 모델이 필요하다. 본 논문은 다양한 유형의 클라우드 서비스를 명세하기 위한 가변성 기반의 클라우드 서비스 분석 모델(SAM)을 제시한다. SAM은 소프트웨어 프로덕트 라인의 가변성 개념을 적용하여 클라우드 서비스를 명세할 때 기능, 품질, 가격 측면에서 나타날 수 있는 가변점에 가변값을 바인딩함으로써 클라우드 서비스의 공통성과 가변성을 나타낸다. 또한, SAM을 이용하여 테넌트에게 클라우드 서비스를 중개하는 브로커로서의 가상 클라우드 뱅크의 구조를 제안한다.

Cloud Computing Platforms for Big Data Adoption and Analytics

  • Hussain, Mohammad Jabed;Alsadie, Deafallah
    • International Journal of Computer Science & Network Security
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    • 제22권2호
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    • pp.290-296
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    • 2022
  • Big Data is a data analysis technology empowered by late advances in innovations and engineering. In any case, big data involves a colossal responsibility of equipment and handling assets, making reception expenses of big data innovation restrictive to little and medium estimated organizations. Cloud computing offers the guarantee of big data execution to little and medium measured organizations. Big Data preparing is performed through a programming worldview known as MapReduce. Normally, execution of the MapReduce worldview requires organized joined stockpiling and equal preparing. The computing needs of MapReduce writing computer programs are frequently past what little and medium measured business can submit. Cloud computing is on-request network admittance to computing assets, given by an external element. Normal arrangement models for cloud computing incorporate platform as a service (PaaS), software as a service (SaaS), framework as a service (IaaS), and equipment as a service (HaaS).

지각된 위험과 전환비용이 클라우드 서비스로의 전환의도에 미치는 영향에 관한 연구: PPM 모델 중심으로 (The Impact of Perceived Risks and Switching Costs on Switching Intention to Cloud Services: Based on PPM Model)

  • 이승희;정석찬
    • 한국정보시스템학회지:정보시스템연구
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    • 제30권3호
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    • pp.65-91
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    • 2021
  • Purpose In this study, we investigated the impact of perceived risk and switching costs on switching intention to cloud service based on PPM (Pull-Push-Mooring) model. Design/methodology/approach We focused on revealing the switching factors of the switching intention to the cloud services. The switching factors to the cloud services were defined as perceived risk consisting of performance risk, economic risk, and security risk, and switching costs consisting of financial and learning costs. On the PPM model, we defined the pull factors consisting of perceived usefulness and perceived ease of use, and the push factor as satisfaction of the legacy system, and the mooring factor as policy supports. Findings The results of this study as follows; (1) Among the perceived risk factors, performance risk has a negative effect on the ease of use of pull factors, and finally it was found to affect the switching intention to the cloud services. Therefore, cloud service providers need to improve trust in cloud services, service timeliness, and linkage to the legacy systems. And it was found that economic risk and security risk among the perceived risk factors did not affect the switching intention to the cloud services. (2) Of the perceived risk factors, financial cost and learning cost did not affect the satisfaction of the legacy system, which is a push factor. It indicates that the respondents are positively considering switching to cloud service in the future, despite the fact that the respondents are satisfied with the use of the legacy system and are aware of the switching cost to cloud service. (3) Policy support was found to improve the switching intention to cloud services by alleviating the financial and learning costs required for cloud service switching.

Cross-cutting 기반의 클라우드 서비스 품질 메트릭 및 SLA 명세 기법 (Quality Metrics of Cloud Service Based on Cross-cutting and SLA Specification Mechanism)

  • 안영민;박준석;염근혁
    • 정보과학회 논문지
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    • 제42권11호
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    • pp.1361-1371
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    • 2015
  • 클라우드 서비스가 증가하고 다양해짐에 따라 클라우드 서비스 사용자들의 요구사항을 만족하는 가장 적절한 서비스를 찾아주는 클라우드 서비스 브로커(CSB) 기술이 나타났다. CSB를 통해 클라우드 서비스가 사용되는 것을 촉진시키기 위해서는 서비스 수준 협약(SLA) 기반의 협상 과정을 통해 사용자들의 요구사항에 맞는 품질 수준을 보장하는 것이 중요하다. 그러나 클라우드 서비스 유형 별로 품질 수준을 표현하는 측정 기준과 척도, 계산 방식이 서로 상이하다. 따라서 클라우드 서비스의 품질에 대한 가변성을 분석하고, 분석된 품질 수준을 보장 및 개선하기 위한 SLA 모델이 필요하다. 본 논문에서는 cross-cutting 개념을 적용하여 클라우드 서비스의 유형 별 품질 메트릭을 분석하고 사용자와 제공자 간의 품질 수준에 대한 협상을 담당하는 VSLA(Variable SLA) 메타모델을 제안한다.

Key Management Server Design for Providing Cryptographic Service in Cloud Computing Environment (Services in a Cloud Environment)

  • Jung, Ki Hyun;Shin, Seung Jung
    • International journal of advanced smart convergence
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    • 제5권4호
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    • pp.26-31
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    • 2016
  • In a cloud computing environment, a cryptographic service allows an information owner to encrypt the information and send it to a cloud server as well as to receive and decode encrypted data from the server which guarantees the confidentiality of shared information. However, if an attacker gains a coded data and has access to an encryption key via cloud server, then the server will be unable to prevent data leaks by a cloud service provider. In this paper, we proposed a key management server which does not allow an attacker to access to a coded key of the owners and prevents data leaks by a cloud service provider. A key management server provides a service where a server receives a coded public key of an information user from an owner and delivers a coded key to a user. Using a key management server proposed in this paper, we validated that the server can secure the confidentiality of an encryption key of data owners and efficiently distribute keys to data users.

공공 IaaS 클라우드 인증제도에 적용할 위험분석 방법에 대한 연구 (A Study of Security Risk Analysis for Public IaaS Cloud Certification)

  • 김선집;김기영
    • 융합보안논문지
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    • 제15권5호
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    • pp.9-15
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    • 2015
  • 클라우드 컴퓨팅은 서버의 추가 구축에 대한 비용절감, 데이터 스토리지 확대에 대한 비용 절감, 컴퓨터 자원에 대한 공유, 새로운 기술의 적용에 대한 편의성 등의 장점을 가지고 있다. 그러나 서비스 모델의 다양성으로 인하여 새로운 보안의 우려사항이 높아지고 있어, 이용자가 서비스의 안정성을 신뢰할 수 있도록 인증제도가 운영되고 있다. 이에 본 논문에서는 인증제도의 신뢰성을 확보하기 위해 기존 IT환경에서 적용되던 위험 분석 방법과 달리 공공 IaaS(Infrastructure as a Service) 클라우드 서비스 특징을 고려, 새로운 위험분석 방법을 제안한다.

멀티 클라우드 서비스 공통 플랫폼 설계 및 구현 (Design and Implementation of Multi-Cloud Service Common Platform)

  • 김수영;김병섭;손석호;서지훈;김윤곤;강동재
    • 한국멀티미디어학회논문지
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    • 제24권1호
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    • pp.75-94
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    • 2021
  • The 4th industrial revolution needs a fusion of artificial intelligence, robotics, the Internet of Things (IoT), edge computing, and other technologies. For the fusion of technologies, cloud computing technology can provide flexible and high-performance computing resources so that cloud computing can be the foundation technology of new emerging services. The emerging services become a global-scale, and require much higher performance, availability, and reliability. Public cloud providers already provide global-scale services. However, their services, costs, performance, and policies are different. Enterprises/ developers to come out with a new inter-operable service are experiencing vendor lock-in problems. Therefore, multi-cloud technology that federatively resolves the limitations of single cloud providers is required. We propose a software platform, denoted as Cloud-Barista. Cloud-Barista is a multi-cloud service common platform for federating multiple clouds. It makes multiple cloud services as a single service. We explain the functional architecture of the proposed platform that consists of several frameworks, and then discuss the main design and implementation issues of each framework. To verify the feasibility of our proposal, we show a demonstration which is to create 18 virtual machines on several cloud providers, combine them as a single resource, and manage it.

Building a Private Cloud-Computing System for Greenhouse Control

  • Kim, JoonYong;Lee, Chun Gu;Park, Dong-Hyeok;Park, Heun Dong;Rhee, Joong-Yong
    • Journal of Biosystems Engineering
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    • 제43권4호
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    • pp.440-444
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    • 2018
  • Purpose: Cloud-computing technology has several advantages, including maintenance, management, accessibility, and computing power. A greenhouse-control system utilizing these advantages was developed using a private cloud-computing system. Methods: A private cloud needs a collection of servers and a suite of software tools to monitor and control cloud-computing resources. In this study, a server farm, operated by OpenStack as a cloud platform, was constructed using servers, and other network devices. Results: The greenhouse-control system was developed according to the fundamental cloud service models: infrastructure as a service, platform as a service, and software as a service. This system has four additional advantages - security, control function, public data use, and data exchange. There are several considerations that must be addressed, such as service level agreement, data ownership, security, and the differences between users. Conclusions: When the advantages are utilized and the considerations are addressed, cloud-computing technology will be beneficial for agricultural use.

신뢰되는 DRM 클라우드 서비스를 위한 책임 추적성 분석 및 모니터링 툴 설계 (Analysis of Accountability for Trust DRM Cloud Service and Design of Monitoring Tool)

  • 이혜주;서창호;신상욱
    • 디지털융복합연구
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    • 제12권12호
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    • pp.303-311
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    • 2014
  • 클라우드 사용자들에게 책임 있는 서비스를 제공하는 클라우드 서비스의 책임 추적성(accountability)은 서비스 정책 준수, 모니터링 및 감사(auditing), 로그 정보 기록(logging) 등과 같은 여러 가지 기술을 적용한다. 궁극적으로 데이터 처리, 서비스 제공 과정에서 발생되는 여러 가지 문제들에 대해 누가 책임이 있는지를 판단함으로써 신뢰되는 클라우드 서비스를 제공하는 것을 목적으로 한다. 먼저, 부가가치가 높은 콘텐츠 서비스 제공 시에 안전하고 신뢰되는 DRM 클라우드 서비스를 제공하기 위해 본 논문에서는 콘텐츠 및 DRM 클라우드 서비스 체인을 이루는 클라우드 에코 시스템을 제시한다. 또한 콘텐츠 소유자와 콘텐츠 사용자의 DRM 클라우드 서비스에 대한 요구사항을 분석하고, 책임 추적을 위해 기록해야 할 로그 정보 및 모니터링 툴 구조를 제안한다.

A Task Scheduling Strategy in Cloud Computing with Service Differentiation

  • Xue, Yuanzheng;Jin, Shunfu;Wang, Xiushuang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권11호
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    • pp.5269-5286
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    • 2018
  • Task scheduling is one of the key issues in improving system performance and optimizing resource management in cloud computing environment. In order to provide appropriate services for heterogeneous users, we propose a novel task scheduling strategy with service differentiation, in which the delay sensitive tasks are assigned to the rapid cloud with high-speed processing, whereas the fault sensitive tasks are assigned to the reliable cloud with service restoration. Considering that a user can receive service from either local SaaS (Software as a Service) servers or public IaaS (Infrastructure as a Service) cloud, we establish a hybrid queueing network based system model. With the assumption of Poisson arriving process, we analyze the system model in steady state. Moreover, we derive the performance measures in terms of average response time of the delay sensitive tasks and utilization of VMs (Virtual Machines) in reliable cloud. We provide experimental results to validate the proposed strategy and the system model. Furthermore, we investigate the Nash equilibrium behavior and the social optimization behavior of the delay sensitive tasks. Finally, we carry out an improved intelligent searching algorithm to obtain the optimal arrival rate of total tasks and present a pricing policy for the delay sensitive tasks.