Semi-Markov availability model considering deliberate malicious impacts on an Infrastructure-as-a-Service Cloud

This paper describes availability model for an Infrastructure-as-a-Service (IaaS) Cloud with multiple pools of physical machines (PMs). Indeed, we build monolithic mathematical model considering sudden failures of the PMs and deliberate malicious impacts on information resources of the IaaS Cloud, using stochastic Semi-Markov approach. In the model, we apply technical subsystem for monitoring states in order to solve task of determining and analysis of overall availability level for the IaaS Cloud during scope of the failures and negative impact of the malicious computer viruses. As characteristics steady state availability for the IaaS Cloud, failure rates and repair rates of the PMs were leveraged by us, too.