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Analytical Modelling and Traffic Control Analysis of Security Attacks for Cloud Computing

Cloud computing technology is a hot topic and popular area similar to the other technologies such as grid computing, parallel computing etc. but the cloud computing idea created back in the 1960s. Most companies start to use cloud computing technologies due to their economic advantage with easy to store data in the business environment. Because of those reasons, the idea of cloud computing organized as a public utility, like paying online water and electricity bills. Apart from these advantages, cloud computing technology has some vulnerabilities, but the most important one is security challenges and issues. The aim of this paper is to analyze the traffic management when the cloud computing system is under security attacks. These security attacks can be any threats in this paper that makes the system as well as the servers unreachable for a certain time. Analytical modeling and evaluation are considered to get QoS measurements under security attacks in this paper. The traffic control management is also proposed and considered together with the analytical model which is the main focus. The resulting analytical model solved using successive over-relaxation (SOR) approach to get QoS measurements. In addition, the analytical results are validated by the discrete event simulation. The evaluation of the system performance in this paper done by analyzing mean queue length, mean response time and blocking probability of the cloud system considering traffic control management when there are security attacks in the system.