Towards a New Quantitative Availability Model for Computer Systems Based on Classifications of Security Requirements

Author:

Boulifi Chaima1,Jouini Mouna2ORCID

Affiliation:

1. University of Jendouba, Tunisia

2. ISG Tunis, Tunisia

Abstract

Cloud computing is an emerging computing paradigm that replaces computing as a personal asset with computing as a public service. As such, it offers all the advantages of a public utility system, in terms of economy of scale, flexibility, and convenience, but it poses major problems including the loss of availability. In this article, the authors define and refine a taxonomy of basic security requirements suitable for all contexts and systems; then the resulted hierarchical model is used to create a new approach to quantifying the availability of it systems. This new measure is inspired from the mean failure cost (MFC). Measure and called availability mean failure cost (MFCa) is the average monetary value of loss per unit of time of use of each participant. This metric gives us a more accurate estimate, clear refinement, and useful interpretation for availability-related decision making using MFCa. How this metric can be used to analyze cloud computing as a business model is something to be explored.

Publisher

IGI Global

Subject

General Engineering

Reference19 articles.

1. Aissa, B. A., Abercrombie, R.K., Sheldon, F.T., & Mili, A. (2010). Quantifying security threats and their potential impacts: a case study. Innovation in Systems and Software Engineering. A NASA Journal, 6, 269–281.

2. Ben Aissa, A. (2012). Vers une mesure économétrique de la sécurité des systèmes informatiques. [Doctoral dissertation]. Faculty of Sciences of Tunis, Tunisia.

3. Ben Arfa Rabai, L., Jouini, M., Ben Aissa, A., & Mili, A. (2013). A cyber security model in cloud computing environments. Journal of King Saud University – Computer and Information Sciences.

4. Caldern, C., & Marta, E. (2007). A Taxonomy of Software Security Requirements. Advances in Sistemase Informática; 4(3): 47Y56.

5. Chris, B., & Elizabeth, B. (1993). IEEE Standard for a Software Quality Metrics Methodology. IEEE computer society.

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