Secure and Efficient Allocation of Virtual Machines in Cloud Data Center

Cloud computing provides a shared pool of configurable computing resources and significantly improves the utilization of computing resources, but it also introduces security threats. We focus on the virtual machine (VM) co-residency, which allows an attacker to launch cross- VM attacks against targe...

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Bibliographic Details
Main Authors: Tao, Xiaojie, Wang, Liming, Xu, Zhen, Xie, Ru
Format: Conference Proceeding
Language:English
Subjects:
Cloud computing
co-resident VM
Computers
cross-VM attacks
Data centers
Energy consumption
Measurement
multi-objective optimization
Resource management
Virtual machining
VM allocation
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Summary:Cloud computing provides a shared pool of configurable computing resources and significantly improves the utilization of computing resources, but it also introduces security threats. We focus on the virtual machine (VM) co-residency, which allows an attacker to launch cross- VM attacks against target VMs. To tackle this problem, we propose a secure and efficient VM allocation strategy to reduce the cross- VM attack threats while ensuring the efficiency of the cloud data center. First, we establish several metrics related to security and efficiency for the cloud data center. Then, we establish a constrained optimization model. Next, we allocate and migrate VMs based on typical suspicious or vulnerable VM features, and solve the optimization problem through our improved NSGA-II allocation. Finally, we implement our allocation strategy and conduct intensive experiments. The experimental results show that our allocation strategy performs better than the existing stratezies and orovides cloud vendors with tradeoff solutions.
ISSN:2642-7389
DOI:10.1109/ISCC53001.2021.9631399