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논문검색

Adopting Cloud Computing and Designing a Constraints-based Cloud System in an Organization

초록

영어

Cloud computing is penetrating into various domains and environments, from theoretical computer science to economy, from marketing hype to educational curriculum and from R&D lab to enterprise IT infrastructure. Yet, the currently developing state of cloud computing leaves several issues to address that affects cloud computing adoption across organizations. In this paper, we illustrate the state of the art of infrastructural cloud, which is essential in the decision making on cloud adoption, and highlight the challenges that can limit the scale and speed of the adoption. We then describe the cloud adoption process in an organization by showing the possible approaches and a mechanism for transforming legacy infrastructure into a virtual infrastructure-based cloud. A strategic framework for designing a high performance cloud system is also suggested to be applied when transformation into a cloud-based deployment model collides with some constraints. To show the advantage of using the framework in guiding the design of such cloud system, we provide an implementation of the framework in the design of a budget-constrained high availability cloud system.

목차

Abstract
1. Introduction
2. State of The Art of Infrastructural Cloud
2.1 Virtualization
2.2 Infrastructural Cloud Management
2.3 Cloud Federation
3. Towards Transformation into Cloud-based IT Infrastructure
3.1 A Perspective of Approaches to Cloud Computing Adoption in an Organization
3.2 The Technical Artifacts of Transformation into Cloud-based IT Infrastructure
4. A Strategic Framework for Constraintbased High Performance Cloud System
4.1 Constraints in Designing a Cloud System and the Argumentation
4.2 A Framework for Designing Constraintbased High Performance Cloud System
5. Design Case Study: A Budget-constrained High Availability Cloud System
6. Related Work
6.1 Cloud Computing Adoption by Enterprise Forerunners
6.2 Modeling and Case Study of Cloud Computing Adoption
7. Conclusion and Future Work
References

저자정보

  • Mikael Fernandus Simalango WISE Research Lab, Ajou University, Woncheon-dong Yeongtong-gu, Suwon, South Korea
  • Mun-Young Kang Department of Computer Engineering, Graduate School of Ajou University
  • Sangyoon Oh School of Information and Communication Engineering, Ajou University Woncheon-dong Yeongtong-gu, Suwon, South Korea

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