Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Elastically telescopic processing method, device and system for VM (Virtual Machine) resources

An elastic scaling and virtual machine technology, applied in the communication field, can solve the problems of excessive information interaction and large impact of NFVO, and achieve the effect of reducing information interaction and reducing impact

Inactive Publication Date: 2016-05-11
ZTE CORP
View PDF6 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The present invention provides a virtual machine VM resource elastic scaling processing method, device and system to at least solve the problem of excessive interaction with NFVO information and large impact in related technologies

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Elastically telescopic processing method, device and system for VM (Virtual Machine) resources
  • Elastically telescopic processing method, device and system for VM (Virtual Machine) resources
  • Elastically telescopic processing method, device and system for VM (Virtual Machine) resources

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] Preferred Embodiment 1 VM resource elastic scaling processing when the above-mentioned first node is a VM:

[0053] After the elastic scaling rules are created for the most downstream VM resources, each VM is bound together through Server Load Balancing (SLB) to form a virtualized network function (Virtualized Network Function, referred to as VNF). On the other hand, compared to monitoring the indicator information at the VNF level, monitoring the indicator information of each VM under the VNF is more accurate and timely. The VM monitoring indicators here are mainly composed of system information such as memory, CPU, hard disk, and bandwidth. Each VM performs real-time status monitoring and judges whether the elastic scaling conditions are met by itself. If the VM itself cannot judge whether the elastic scaling rules are met, the monitored information and data are handed over to the upstream VNF node for judgment. If the scaling condition is met, send the first request ...

Embodiment 2

[0066] Preferred Embodiment 2 VM Resource Elastic Scaling Processing when the First Node Is a VNF

[0067] In addition to the possibility of judging the downstream VM index information, the VNF node also needs to judge and monitor its own index information at the same time. The monitoring index here mainly involves system information such as memory, CPU, hard disk, and bandwidth, as well as service indicators carried by the network element side. Information, such as the number of transactions per second (TransactionsPerSecond, referred to as TPS), the load of a certain business, etc., if the VNF itself cannot judge whether the conditions of the elastic scaling rules have been met, all the monitored information and data will be handed over to the upstream The VNFM node judges that if the scaling condition is met, the VNF will perform elastic scaling processing and send the relevant request to the VNFM. When the overall load of the system is low, if the scaling condition is met, ...

Embodiment 3

[0080] Preferred Embodiment 3 When the above-mentioned first node is a VNFM, VM resource elastic scaling processing:

[0081] In addition to possibly judging the downstream VNF index information, the VNFM node also needs to judge and monitor its own index information at the same time. The monitoring indexes here mainly involve system information such as memory, CPU, hard disk, and bandwidth, as well as network element processing capabilities. Conditions, perform elastic scaling processing. When the overall load of the system is low, if the shrinking condition is met, an elastic scaling request is triggered, and a VM resource request change message is sent to NFVO. By performing a series of state migration operations on the VM, Release VM resources, and then perform SLB processing on VNFM to reduce system TCO; when the overall load of the system is high, if the expansion condition is met, an elastic scaling request is triggered, and a resource request change message is sent to N...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides an elastically telescopic processing method, device and system for VM resources. The method comprise that according to VM indication information in a first node, the first node or an adjacent upstream node thereof determines that the first node reaches a preset threshold for VM resource elastically telescopic processing; and the upstream node of the first node is used to carry out VM resource elastically telescopic processing on the first node. The problems that interaction of NFVO information is too much and the impact is large in the prior art are solved, and thus, information interaction of NFVO is reduced, and impact on the NFVO is reduced.

Description

technical field [0001] The present invention relates to the communication field, and in particular, relates to a method, device and system for elastically scaling virtual machine VM resources. Background technique [0002] In the current communications field, how to build efficient and reliable elastic scaling services in telecom equipment is an important and core problem facing the industry. [0003] Most of the current solutions are not perfect in terms of security and reliability, especially the virtual machine (Virtual Machine, referred to as VM) elastic scaling index monitoring part. Currently, the monitoring of virtual machine index information is mostly based on a centralized single point The monitoring method is the main method, in which the monitoring nodes are mostly placed upstream, and most of them are Network Functions Virtualization Orchestrator (NFVO for short). This situation has too much impact on NFVO. single point of failure. [0004] figure 1 It is a r...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H04L12/24
CPCH04L41/40
Inventor 陈露静周智伟刘磊
Owner ZTE CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products