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A resiliency framework for an enterprise cloud

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  • Chang, Victor
  • Ramachandran, Muthu
  • Yao, Yulin
  • Kuo, Yen-Hung
  • Li, Chung-Sheng

Abstract

This paper presents a systematic approach to develop a resilient software system which can be developed as emerging services and analytics for resiliency. While using the resiliency as a good example for enterprise cloud security, all resilient characteristics should be blended together to produce greater impacts. A framework, cloud computing adoption framework (CCAF), is presented in details. CCAF has four major types of emerging services and each one has been explained in details with regard to the individual function and how each one can be integrated. CCAF is an architectural framework that blends software resilience, service components and guidelines together and provides real case studies to produce greater impacts to the organizations adopting cloud computing and security. CCAF provides business alignments and provides agility, efficiency and integration for business competitive edge. In order to validate user requirements and system designs, a large scale survey has been conducted with detailed analysis provided for each major question. We present our discussion and conclude that the use of CCAF framework can illustrate software resilience and security improvement for enterprise security. CCAF framework itself is validated as an emerging service for enterprise cloud computing with analytics showing survey analysis.

Suggested Citation

  • Chang, Victor & Ramachandran, Muthu & Yao, Yulin & Kuo, Yen-Hung & Li, Chung-Sheng, 2016. "A resiliency framework for an enterprise cloud," International Journal of Information Management, Elsevier, vol. 36(1), pages 155-166.
    • Handle: RePEc:eee:ininma:v:36:y:2016:i:1:p:155-166
    DOI: 10.1016/j.ijinfomgt.2015.09.008
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    Citations

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    Cited by:

    1. Akhbar, Farzaneh & Chang, Victor & Yao, Yulin & Méndez Muñoz, Víctor, 2016. "Outlook on moving of computing services towards the data sources," International Journal of Information Management, Elsevier, vol. 36(4), pages 645-652.
    2. Hashem, Ibrahim Abaker Targio & Chang, Victor & Anuar, Nor Badrul & Adewole, Kayode & Yaqoob, Ibrar & Gani, Abdullah & Ahmed, Ejaz & Chiroma, Haruna, 2016. "The role of big data in smart city," International Journal of Information Management, Elsevier, vol. 36(5), pages 748-758.
    3. Yousafzai, Abdullah & Chang, Victor & Gani, Abdullah & Noor, Rafidah Md., 2016. "Directory-based incentive management services for ad-hoc mobile clouds," International Journal of Information Management, Elsevier, vol. 36(6), pages 900-906.
    4. Newman, Russell & Chang, Victor & Walters, Robert John & Wills, Gary Brian, 2016. "Model and experimental development for Business Data Science," International Journal of Information Management, Elsevier, vol. 36(4), pages 607-617.

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