Energy-saving distribution method and device in network function virtualized scene
A technology for virtualizing and assigning network functions, which is applied in the field of resource scheduling and can solve problems such as distance gaps in energy-saving effects
Active Publication Date: 2017-09-26
成都中科云集信息技术有限公司
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Problems solved by technology
At present, the mainstream scheduling algorithms in the industry include VMWare DRS and Eco4Cloud, both of which adopt the distributed scheduling method. Among them, EcoCloud is deployed on the basis of VMWare DPM and has done some energy-saving tests. A large number of tests show that it is more energy-efficient than VMWare, but Its energy-saving effect is still far behind the optimized centralized BFD (Best Fit Decreasing) algorithm
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Embodiment 1
[0023] Embodiment one, as shown in the picture 2 As shown, this embodiment includes the following steps:
[0024] Step 101: the scheduler acquires the configuration information requested by the virtual machine at the current moment.
[0025] There are two cases: (1) When there is a new virtual machine request, the configuration information requested by the current virtual machine is obtained, and the actual CPU usage is estimated according to the utilization rate required by the configuration (not specifically stated, the CPU is more than one physical machine (2) If there is a virtual machine to be migrated and the target physical machine needs to be found through this allocation method, then the actual CPU usage of the virtual machine can be obtained directly.
[0026] Step 102: According to the scale of the data center, add all or some of the physical machines to the candidate queue, and the scheduler sends a virtual machine request to the candidate physical machines.
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The embodiment of the invention discloses an energy-saving distribution method and device in a network function virtualized scene. The method includes the steps that 1, information of all physical machines (PM) and request information of virtual machines (VM) at a current moment are acquired; 2, available (started) PMs are selected from all the PMs; 3, the available PMs are filtered, and the remaining PMs obtained after filtering are selected out; 4, energy consumption grades are calculated for the PMs passing filtering and the request information of the VMs according to an energy saving algorithm model; 5, the energy consumption grade of one PM after a certain virtual machine is distributed to the PM is calculated; 6, PM distribution results are selected according to the energy consumption grades, and the VMs are deployed. The method and device are suitable for high-energy-efficiency distribution and deployment on typical NFV application, firstly, physical servers and the VMs capable of being selected by a user are subjected to capacity divisible configuration, and it is guaranteed that spare capacity fragments are smallest during distribution; then the physical servers are sorted in an ascending mode according to the energy consumption increase minimization mode for selection, the number of the adopted physical machines is smallest, and therefore the total energy consumption of a data center is minimized.
Description
technical field [0001] The present invention relates to the technical field of resource scheduling, and in particular to an energy-saving allocation method and an allocation device in a network function virtualization scenario. Background technique [0002] Network Functions Virtualization (NFV, Network Functions Virtualization) is proposed by telecom network operators. With the help of IT virtualization technology, it uses industry-standard large-capacity servers, storage and switches to carry various network software functions. [0003] Generally speaking, an NFV application corresponds to a VNF, and each VNF contains multiple components. Each component is generally deployed on a virtual machine, and this virtual machine generally does not deploy other VNFs, nor meeting Deploy other components of this VNF. When an application requests a virtual machine, the VNF management module selects a suitable virtual machine according to the resources required by the application, and...
Claims
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IPC IPC(8): G06F1/32G06F9/50
CPCG06F1/329G06F9/5077Y02D10/00
Inventor 田文洪李国忠
Owner 成都中科云集信息技术有限公司