Abstract
This paper explains how to work with performance measurement tools to be able to make qualified decision during the election of the right cloud platform. The popularity of the cloud computing is increasing rapidly and there is a variety of cloud platforms from Open-source world as well as from the vendors. Choosing the right solution, either public cloud from large number of providers or private cloud, can significantly differ in cost and performance. This brings a lot of challenges to find suitable solution one for end user workload.
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References
Gregg, B.: Systems Performance: Enterprise and the Cloud, 1st edn. Prentice Hall, New Jersey (2014)
Jackson, K., Bunch, C., Sigler, E.: OpenStack Cloud Computing Cookbook- Third Edition, 1st edn. Packt Publishing, Birmingham (2015)
Kratzke, N., Quint, P.-C.: About Automatic Benchmarking of IaaS Cloud Service Providers for a World of Container Clusters (2015). http://paper.uscip.us/jccr/JCCR.2015.1002.pdf. Accessed 28 Mar 2016
Anon: (2017). http://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-145.pdf. Accessed 25 Jan 2017
Gillam, L., Li, B., O’Loughlin, J.: Benchmarking cloud performance for service level agreement parameters. Int. J. Cloud Comput. 3(1), 3 (2014)
Li, C., Zhang, X.: Performance evaluation on open source cloud platform for high performance computing. J. Comput. Appl. 33(12), 3580–3585 (2013)
Suakanto, S.: Performance measurement of cloud computing services. Int. J. Cloud Comput. Serv. Architect. 2(2), 9–20 (2012)
Chadalpaka, M.B.: System and Method for Storage Virtualization Computer and Network Technology (ICCNT), U. S. patent 6, 845, 403B2, 01 18 (2005)
Newman, S.: Building Microservices: Designing Fine-Grained Systems. OReilly (2015)
Sahoo, J., Mohapatra, S., Lath, R.: Virtualization: A survey on concepts, taxonomy and associated security issues. In: Second International Conference Computer and Network Technology (ICCNT), pp. 222–226 (2010)
NIST: Cloud Computing Service Metrics Description NIST Cloud Computing Reference Architecture and Taxonomy Working Group NIST Cloud Computing Program Information Technology Laboratory (2015)
Siegel, J., Perdue, J.: Cloud services measures for global use: the service measurement index (SMI). In: Service Research Innovation Institute (SRII) Global Conference, pp. 24–27. IEEE (2012)
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This work and the contribution were also supported by project of specific science, Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic.
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Komarek, A., Pavlik, J., Sobeslav, V. (2017). Performance Analysis of Cloud Computing Infrastructure. In: Younas, M., Awan, I., Holubova, I. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2017. Lecture Notes in Computer Science(), vol 10486. Springer, Cham. https://doi.org/10.1007/978-3-319-65515-4_25
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DOI: https://doi.org/10.1007/978-3-319-65515-4_25
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