Modeling Quality Attributes of Cloud-Standby-Systems
Contingency plans for disaster preparedness and concepts for resuming regular operation as quickly as possible have been an integral part of running a company for a long time. Today, large portions of revenue generation are taking place over the Internet and it has to be ensured that the respective resources and processes are secured against disasters, too. Cloud-Standby-Systems are a way for replicating an IT infrastructure to the Cloud. In this work, a Markov-based model is presented that can be used to analyze and configure such systems on a long term basis. It is shown that by using a Cloud-Standby-System the availability can be increased, how configuration parameters like the replication interval can be optimized, and that the model can be used for supporting the decision whether the infrastructure should be replicated or not.
KeywordsCloud-Standby Cold-Standby BCM Cloud Computing IaaS
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- 1.Hotchkiss, S.: Business continuity management in practice. BCS, the Chartered Institute for IT, Swindon, UK (2010)Google Scholar
- 2.Wood, T., et al.: Disaster recovery as a cloud service: Economic benefits & deployment challenges. In: Proc. of HotCloud, Boston (2010)Google Scholar
- 3.Mell, P., Grance, T.: The NIST definition of cloud computing (draft). NIST special publication 800, 145 (2011)Google Scholar
- 4.Klems, et al.: Automating the delivery of IT Service Continuity Management through cloud service orchestration. In: IEEE Network Operations and Management Symposium, NOMS (2010)Google Scholar
- 5.Lenk, A., et al.: What are you paying for? Performance benchmarking for infrastructure-as-a-service offerings. In: IEEE International Conference on Cloud Computing (CLOUD). IEEE (2011)Google Scholar
- 6.Gilks, W.R., Richardson, S., Spiegelhalter, D. (eds.): Markov Chain Monte Carlo in practice: interdisciplinary statistics, vol. 2. Chapman & Hall/CRC (1995)Google Scholar
- 7.Cully, B., et al.: Remus: High availability via asynchronous virtual machine replication. In: Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation (2008)Google Scholar
- 8.Alhazmi, O., et al.: Assessing Disaster Recovery Alternatives: On-Site, Colocation or Cloud. In: 23rd IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE (2012)Google Scholar
- 9.Symantec, SMB Disaster Preparedness Survey – Global Results (January 2011)Google Scholar
- 10.Schmidt, K.: High Availability and Disaster Recovery. Concepts, Design, Implementation. Springer, Germany (2006)Google Scholar
- 11.Henderson, C.: Building Scalable Web Sites, 1st edn. O’Reilly, Sebastopol (2006)Google Scholar
- 12.Dantas, et al.: An Availibility Model for Eucalyptus Platform: An Analysis of Warm-Standby Replication Mechanism. In: IEEE International Conference on Systems, Man, and Cybernetics (2012)Google Scholar