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Highly Available Clouds: System Modeling, Evaluations, and Open Challenges

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Research Advances in Cloud Computing

Abstract

Cloud-based solution adoption is becoming an indispensable strategy for enterprises, since it brings many advantages, such as low cost. On the other hand, to attend this demand, cloud providers are facing a great challenge regarding their resource management: how to provide services with high availability relying on finite computational resources and limited physical infrastructure? Understanding the components and operations of cloud data center is a key point to manage resources in an optimal way and to estimate how physical and logical failures can impact on users’ perception. This book chapter aims to explore computational modeling theories in order to represent a cloud infrastructure focusing on how to estimate and model cloud availability.

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Notes

  1. 1.

    http://tl9000.org/about/tl9000/overview.html.

  2. 2.

    VMware: Business Continuity and Disaster Recovery— http://www.vmware.com/solutions/business-continuity.html.

  3. 3.

    aws.amazon.com.

  4. 4.

    https://cloud.google.com/.

  5. 5.

    https://cloud.google.com/sql/faq.

  6. 6.

    https://azure.microsoft.com/pt-br/overview/what-is-azure/.

  7. 7.

    https://www.ibm.com/watson/.

  8. 8.

    https://www.ibm.com/cloud-computing/bluemix.

  9. 9.

    http://www.ibm.com/software/products/en/ibm-cloud-orchestrator.

  10. 10.

    http://www.futurefacilities.com/solutions/data-centers/.

  11. 11.

    http://www.coolsimsoftware.com/Home.aspx.

  12. 12.

    According to authors, “an irrational environment is where a network operator is worried more about a big failure disconnecting all clients for 1 h at the same time than for multiple small failures throughout the year disconnecting every client for 1 h on average [14].”

  13. 13.

    http://www.gartner.com/newsroom/id/3354117.

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Acknowledgements

This work was supported by the RLAM Innovation Center, Ericsson Telecomunicações S.A., Brazil.

Author information

Authors and Affiliations

  1. University of Pernambuco, Recife, Brazil

    Patricia Takako Endo

  2. Rural Federal University of Pernambuco, Recife, Brazil

    Glauco Estácio Gonçalves

  3. Federal University of Pernambuco, Recife, Brazil

    Daniel Rosendo, Demis Gomes, Guto Leoni Santos, André Luis Cavalcanti Moreira, Judith Kelner & Djamel Sadok

  4. Ericsson Research, Recife, Brazil

    Mozhgan Mahloo

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  1. Patricia Takako Endo
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  9. Mozhgan Mahloo
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Correspondence to Patricia Takako Endo .

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Editors and Affiliations

  1. School of Engineering and Applied Science, Ahmedabad University, Ahmedabad, Gujarat, India

    Sanjay Chaudhary

  2. Department of Computer Science and Engineering, Central University of Rajasthan, Ajmer, Rajasthan, India

    Gaurav Somani

  3. School of Computing and Information Systems, The University of Melbourne, Melbourne, Victoria, Australia

    Rajkumar Buyya

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Endo, P.T. et al. (2017). Highly Available Clouds: System Modeling, Evaluations, and Open Challenges. In: Chaudhary, S., Somani, G., Buyya, R. (eds) Research Advances in Cloud Computing. Springer, Singapore. https://doi.org/10.1007/978-981-10-5026-8_2

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  • DOI: https://doi.org/10.1007/978-981-10-5026-8_2

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  • Online ISBN: 978-981-10-5026-8

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