Shahrood University of Technology Journal of AI and Data Mining 2322-5211 7 4 2019 11 01 Analytical evaluation of an innovative decision-making algorithm for VM live migration 589 596 1315 10.22044/jadm.2018.7178.1847 EN M. Tajamolian Computer Engineering Department, Yazd University, Yazd, Iran. M. Ghasemzadeh Computer Engineering Department, Yazd University, Yazd, Iran. 0000-0002-6805-4852 Journal Article 2018 06 18 In order to achieve the virtual machines live migration, the two "pre-copy" and "post-copy" strategies are presented. Each of these strategies, depending on the operating conditions of the machine, may perform better than the other. In this article, a new algorithm is presented that automatically decides how the virtual machine live migration takes place. In this approach, the virtual machine memory is considered as an informational object that has a revision number and it is constantly changing. We have determined precise criteria for evaluating the behavior of a virtual machine and automatically select the appropriate live migration strategy. Also in this article, different aspects of required simulations and implementations are considered. Analytical evaluation shows that using the proposed scheme and the presented algorithm, can significantly improve the virtual machines live migration process. https://jad.shahroodut.ac.ir/article_1315_272ccab85c943df9785cfe05a880731e.pdf