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A framework for resilience management in the cloud

Ein Framework für Resilience Management in der Cloud

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Abstract

Cloud environments make resilience more challenging because of the sharing of non-virtualised resources, frequent reconfigurations, and cyber attacks on these flexible and dynamic systems. We present a Cloud Resilience Management Framework (CRMF), which models and then applies an existing resilience strategy in a cloud operating context to diagnose anomalies. The framework uses an end-to-end feedback loop that allows remediation to be integrated with the existing cloud management systems. We demonstrate the applicability of the framework with a use-case for effective cloud resilience management.

Zusammenfassung

Cloud-Umgebungen stellen wegen der gemeinsamen Nutzung von nicht-virtualisierten Ressourcen, häufiger Rekonfigurationen und Cyber-Angriffen auf diese flexiblen und dynamischen Systeme größere Herausforderungen an Ausfallsicherheit. In dieser Arbeit wird ein Cloud Resilience Management Framework (CRMF) präsentiert, das eine bereits existierende Ausfallsicherheitsstrategie im Kontext eines Cloudbetriebs modelliert und dort anwendet, um Anomalien zu erkennen. Das Framework benutzt eine Ende-zu-Ende-Feedbackschleife, die es ermöglicht, Problembehebung in vorhandene Cloud-Managementsysteme zu integrieren. Weiterhin wird die Anwendbarkeit dieses Frameworks durch einen Anwendungsfall mit effizientem Cloud Resilience Management gezeigt.

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Notes

  1. In the NIST cloud computing reference architecture [8] the term tenant is used for consumers who use the cloud based services.

  2. Work presented here is carried out within the FP 7 SECCRIT (SEcure Cloud computing for CRitical infrastructure IT) project (FP7-SEC-2012-1), which is a multidisciplinary research project with the mission to analyse and evaluate cloud computing technologies with respect to security risks in sensitive environments, and to develop methodologies, technologies, and best practices for creating a secure, trustworthy, and high assurance cloud computing environment.

  3. European Union Agency for Network and Information Security: http://www.enisa.europa.eu/.

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  10. libpcap API: http://www.tcpdump.org/.

  11. IND2UCE http://www.iese.fraunhofer.de/en/competencies/security/usage_control/philosophy_uc.html.

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Acknowledgements

The research presented in this paper is sponsored by the EU FP7 Project SECCRIT (Secure Cloud Computing for Critical Infrastructure IT), grant agreement no. 312758. The work on “Deployment function” and “IND2UCE” is by SECCRIT Consortium members NEC (NEC Europe Ltd) and IESE (Fraunhofer Institute for Experimental Software Engineering IESE) respectively. We are grateful to Plamen Angelov for providing insightful comments and inputs to the use of the Recursive Density Estimation technique for implementation of the Network Analysis Engine.

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Authors and Affiliations

  1. InfoLab21, School of Computing and Communications, Lancaster University, Lancaster, UK

    Noor-ul-hassan Shirazi, Steven Simpson, Andreas Mauthe & David Hutchison

  2. NEC Europe Ltd., Heidelberg, Germany

    Simon Oechsner

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  1. Noor-ul-hassan Shirazi
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  2. Steven Simpson
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Correspondence to Noor-ul-hassan Shirazi.

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Shirazi, Nuh., Simpson, S., Oechsner, S. et al. A framework for resilience management in the cloud. Elektrotech. Inftech. 132, 122–132 (2015). https://doi.org/10.1007/s00502-015-0290-9

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