1. Virtual Machine Migration Scheme Based on Score Matrix in Data Centers
- Author
-
Luxiu Yin, Song Zhang, Zhangwei Yang, and Juan Luo
- Subjects
020203 distributed computing ,business.industry ,Computer science ,Quality of service ,Distributed computing ,Cloud computing ,02 engineering and technology ,Energy consumption ,computer.software_genre ,Memory management ,Virtual machine ,0202 electrical engineering, electronic engineering, information engineering ,Resource allocation ,020201 artificial intelligence & image processing ,Resource management ,business ,computer ,Efficient energy use - Abstract
Virtual Machine Migration (VMM) is a key technology in data centers. Due to the uncertainty of applications in resource allocation, the imbalance of resource utilization is badly poor. In this paper, an Auto-regression Moving Average model is proposed to predict the resource requirement of a certain virtual machine, while the resource utilization rate of the physical machine is analyzed. Since the existing VMM scheme basically follows one by one migration, which makes the migration be unable to achieve the global optimum and save more energy, the paper introduces migrated cost matrix, and recommends a set of migrations with the best performance from a global point of view to carry out the migration, and improves the ``three-step'' method in the traditional migrated scheme to achieve energy efficiency. Simulation experiments show that the proposed scheme in the paper can effectively reduce the energy consumption, and can improve the quality of service in a certain degree.
- Published
- 2017