Security embedded dynamic resource allocation model for cloud data centre
D. Saxena, Ashutosh Kumar Singh
Abstract
Cloud clients face high security risks while sharing physical resources with multiple users. A malicious cloud user exploits co‐residency and hypervisor vulnerabilities to steal and hamper sensitive information of victim virtual machine (VM). To address this alarming issue, this Letter proposes a secure resource allocation model by developing a threat detector based on the analysis of co‐located inter‐VM relations and a workload predictor in the background. The anomalous network traffic, response speed, bandwidth usage and illegal inter‐VM links are considered as security breaches indicator that assists in future threat detection beforehand and consequently guides the secure and resource efficient VM allocation. The comparison of proposed model with state‐of‐the‐art: FCFS, Random‐fit and NSGA‐II based resource allocation approaches indicate that it significantly reduce security threats by 77.38% and number of active servers up to 5.39% with improved resource utilisation up to 26.84% over Random‐fit.