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Modeling Availability Impact in Cloud Computing

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Book cover Principles of Performance and Reliability Modeling and Evaluation

Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

Abstract

Internet-based services have become critical to several businesses in which many aspects of our lives depend on (e.g., online banking, collaborative work, videoconferencing). Business continuity is a remarkable property and it is a chief concern for many companies, since service disruption may cause huge revenue and market share losses. In recent years, cloud computing has turned into a remarkable alternative due to its resource on-demand and pay-as-you-go models. More specifically, additional resources, such as virtual machines (VMs), are only allocated when disaster takes place, and the automated virtual platform also performs a transparent recovery to minimize the service time to restore. This chapter presents availability models to evaluate cloud computing infrastructures.

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Notes

  1. 1.

    Erlang distributions (with number of phase large than one) have increasing failure rate [61].

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Acknowledgments

I would like to show my gratitude to all my students and colleagues, whom have worked with me over the years. I wish to present my special thanks to Bruno Silva, Jamilson Dantas, Jean Araújo, Maria Clara Bezerra, Matheus Torquato, Rosangela Melo, and Rubens Matos for carrying out the experiments and tests. These models are part of their graduation studies. I am in indebted to the anonymous referees for their very helpful comments and suggestions. I am also deeply grateful to the editors, and particularly to Lance Fiondella who read the draft and made several suggestions to improve the text. Naturally, any remaining mistakes and omissions are of my own responsibility.

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  1. Centro de Informática, Universidade Federal de Pernambuco, Av. Jornalista Anibal Fernandes, s/n - Cidade Universitária, Recife, CEP 50740560, Brazil

    Paulo Romero Martins Maciel

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Correspondence to Paulo Romero Martins Maciel .

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  1. University of Massachusetts Dartmou, Dartmouth, Massachusetts, USA

    Lance Fiondella

  2. Università degli studi di Messina, Messina, Italy

    Antonio Puliafito

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Martins Maciel, P.R. (2016). Modeling Availability Impact in Cloud Computing. In: Fiondella, L., Puliafito, A. (eds) Principles of Performance and Reliability Modeling and Evaluation. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-30599-8_11

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  • DOI: https://doi.org/10.1007/978-3-319-30599-8_11

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