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2017 IEEE Symposium on Computers and Communications (ISCC) (2017)
Heraklion, Greece
July 3, 2017 to July 6, 2017
ISBN: 978-1-5386-1630-7
pp: 717-723
Guto Leoni Santos , Federal University of Pernambuco, Recife, Brazil, Networking and Telecommunication Research Group (GPRT)
Patricia Takako Endo , University of Pernambuco, Caruaru, Brazil
Glauco Goncalves , Federal Rural University of Pernambuco, Recife, Brazil
Daniel Rosendo , Federal University of Pernambuco, Recife, Brazil, Networking and Telecommunication Research Group (GPRT)
Demis Gomes , Federal University of Pernambuco, Recife, Brazil, Networking and Telecommunication Research Group (GPRT)
Judith Kelner , Federal University of Pernambuco, Recife, Brazil, Networking and Telecommunication Research Group (GPRT)
Djamel Sadok , Federal University of Pernambuco, Recife, Brazil, Networking and Telecommunication Research Group (GPRT)
Mozhgan Mahloo , Ericsson Research, Stockholm, Sweden
ABSTRACT
Cloud computing has gained popularity in recent years due to its pay-as-you-go business model, high availability of services, and scalability. Service unavailability does not affect just user experience but is also translated into direct costs for cloud providers and companies. Part of this costs is due to SLA breaches, once interruption time greater than those signed in the contract generate financial penalties. Thus, cloud providers have tried to identify failure points and estimate the availability of their services. This paper proposes models to assess the availability of services running in a cloud data center infrastructure. The models follow the TIA-942 standard. We propose Tier I and IV models using the Reliability Block Diagram (RBD) to allow modeling of different types of applications, and Stochastic Petri Net (SPN) to represent the failure behavior of information technology (IT) components in a data center. We perform stationary analysis to measure the service availability, and sensitivity analysis to understand which metrics have major impacts on data center availability.
INDEX TERMS
Servers, Data models, Petri nets, Standards, Sensitivity analysis, Computational modeling
CITATION

G. L. Santos et al., "Analyzing the IT subsystem failure impact on availability of cloud services," 2017 IEEE Symposium on Computers and Communications (ISCC), Heraklion, Greece, 2017, pp. 717-723.
doi:10.1109/ISCC.2017.8024612
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