A method for managing green power of a virtual machine cluster in cloud

作者：Yang Chao Tung^*; Liu Jung Chun; Huang Kuan Lung; Jiang Fuu Cheng

来源：Future Generation Computer Systems-The International Journal of eScience, 2014, 37: 26-36.

DOI：10.1016/j.future.2014.03.001

• Green power management
• Resource allocation
• Live migration
• Virtual machine cluster

A green power management scheme is proposed to determine how many physical machines should be run or turned off based on the gross occupied resource weight ratio of the virtual machine cluster. The gross occupied resource weight ratio is defined as the ratio of the sum of resource weights of all virtual machines over the sum of available resource weights of all running physical machines. When the gross occupied resource weight ratio is greater than the maximum tolerant occupied resource weight ratio, preset to ensure quality of service, a standby physical machine in the non-running physical machines is selected and wakened up to join as one of the running physical machines. On the other hand, when the gross occupied resource weight ratio is less than the minimum critical occupied resource weight ratio, preset to trigger energy saving algorithms, one of the running physical machines, selected as a migration physical machine with the virtual machines therein removed after live migration, is moved from other running physical machines, and then turned off. As a result, a resource allocation process is realized to distribute loads of the running physical machines such that the total number of the running physical machines can be flexibly dispatched to achieve the objective of green power management.

• 出版日期2014-7