As a key technology of cloud computing, virtualization technology enables multiple virtual machines (VMs) to run on a host to meet the operational needs and environmental requirements of different applications, improving the efficiency of the host. However, the resource of the hosts is limited. When the VMs runs too many tasks, the host will be overloaded and exception occurs. Regarding the issue above, this paper considers the communication cost of virtual machine (VM) migration and proposes a VM Migration Algorithm based on Gene Aggregation Genetic Algorithm (VMM-GAGA). VMM-GAGA mainly solves the problem of allocation between VMs which to be migrated and underutilized hosts. In VMM-GAGA, a novel genetic coding method based on gene aggregation algorithm is proposed. The algorithm performs gene aggregation operations on VMs that have more communication and meet the conditions, which effectively reduces the number of genes in the chromosome., Experiments show that compared with the traditional genetic algorithm, VMM-GAGA reduces search time and communication costs.
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This work was supported in part by the National Natural Science Foundation of China under grant nos. 61872313; the Key Research Projects in Education Informatization in Jiangsu Province under grant 20180012; by the Postgraduate Research and Practice Innovation Program of Jiangsu Province under grant KYCX18 2366; and by Yangzhou Science and Technology under grant YZ2018209, YZ2019133; and by Yangzhou University Jiangdu High-end Equipment Engineering Technology Research Institute Open Project under grant YDJD201707.
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Jiang, Y., Wang, J., Shi, J. et al. Network-aware Virtual Machine Migration Based on Gene Aggregation Genetic Algorithm. Mobile Netw Appl (2020) doi:10.1007/s11036-019-01376-7
- Virtual machine migration
- Gene aggregation
- Genetic algorithm