Abstract
An Infrastructure as a Service or IaaS cloud can offer a virtual machine or VM to the cloud customers to rent with pay per use basis. Although this cloud is widely used in many areas of applications, its security issues are obstacles for its adoptions. A logging system can mitigate the risks associated with these issues. This system can monitor and log malicious processes in IaaS customer’s VMs. However, the performance of this system is important to be measured. Moreover, the performance of this VM is also needed to be measured. Thus, this paper focuses on simultaneously measuring and evaluating the performance of both the logging system and the VM. To the best of our knowledge, there is no this kind of measuring methods in the literature. The main result of this paper is that we found the optimal point when the logging system and the VM can have suitable performance levels when both of them are working. This optimal point can be used by the IaaS providers to offer marketing packages for mitigating the risks associated with the issues of a customer VM with the consideration of his/her VM performance simultaneously. To mitigate risks associated with the security issues of an IaaS, this paper can be a guild-line to enable logging systems to be truly worked in the IaaS real-word production.
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Auxsorn, T., Wongthai, W., Phoka, T., Jaiboon, W. (2020). Performance Considerations of a Logging System Simultaneously with a Customer Virtual Machine in Infrastructure as a Service Cloud. In: Kim, K., Kim, HY. (eds) Information Science and Applications. Lecture Notes in Electrical Engineering, vol 621. Springer, Singapore. https://doi.org/10.1007/978-981-15-1465-4_30
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DOI: https://doi.org/10.1007/978-981-15-1465-4_30
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