• Title/Summary/Keyword: 멀티테넌트

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A Study on Applying Workflow for Business Process Automation in SaaS Platform (SaaS 플랫폼에서 비즈니스 프로세스 자동화를 위한 워크플로우 적용 방안)

  • Choi, Jeong-Rhan;Oh, Byung-Taek;Won, Hee-Sun;Hur, Sung-Jin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.549-552
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    • 2011
  • 자동화된 비즈니스 프로세스 기능을 적용하기 위해 워크플로우 기능을 추가하는 것은 멀티테넌시를 지원하는 SaaS 어플리케이션개발 과정에서 필수적인 작업 중 하나이다. 본 논문에서는 이를 위해 SaaS 플랫폼에 워크플로우 기능을 추가하여 자동화된 비즈니스 프로세스를 지원하기 위한 기능을 제안하였다. SaaS 플랫폼에 워크플로우 관리 기능을 추가하여 역할관리, 비즈니스 프로세스 관리, 프로세스 인스턴스관리, ACL 관리 등을 하였다. 또한 테넌트 관리자가 개발된 SaaS 어플리케이션을 자사에 특화된 형태로 커스터마이징하기 위해 워크플로우의 재설정 기능을 제공하였다.

Extracting Neural Networks via Meltdown (멜트다운 취약점을 이용한 인공신경망 추출공격)

  • Jeong, Hoyong;Ryu, Dohyun;Hur, Junbeom
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.6
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    • pp.1031-1041
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    • 2020
  • Cloud computing technology plays an important role in the deep learning industry as deep learning services are deployed frequently on top of cloud infrastructures. In such cloud environment, virtualization technology provides logically independent and isolated computing space for each tenant. However, recent studies demonstrate that by leveraging vulnerabilities of virtualization techniques and shared processor architectures in the cloud system, various side-channels can be established between cloud tenants. In this paper, we propose a novel attack scenario that can steal internal information of deep learning models by exploiting the Meltdown vulnerability in a multi-tenant system environment. On the basis of our experiment, the proposed attack method could extract internal information of a TensorFlow deep-learning service with 92.875% accuracy and 1.325kB/s extraction speed.

Design and Implementation of Library Information System Using Collective Intelligence and Cloud Computing (집단지성과 클라우드 컴퓨팅을 활용한 도서관 정보시스템 설계 및 구현)

  • Min, Byoung-Won
    • The Journal of the Korea Contents Association
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    • v.11 no.11
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    • pp.49-61
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    • 2011
  • In recent, library is considered as an integrated knowledge convergence center that can respond to various requests about information service of users. Therefor it is necessary to establish a novel information system based on information communications technologies of the era. In other words, it is currently required to develop mobile information service available in portable devices such as smart phones or tablet PCs, and to establish information system reflecting cloud computing, SaaS, Annotation, and Library 2.0 etc. In this paper we design and implement a library information system using collective intelligence and cloud computing. This information system can be adapted for the varieties of mobile service paradigm and abruptly increasing amount of electronic materials. Advantages of this concept model are resource sharing, multi-tenant supporting, configuration, and meta-data supporting etc. In addition it can offer software on-demand type user services. In order to test the performance of our system, we perform an effectiveness analysis and TTA authentication test. The average response time corresponding to variance of data reveals 0.692 seconds which is very good performance in timing effectiveness point of view. And we detect maturity level-3 or 4 authentication in TTA tests such as SaaS maturity, performance, and application programs.