CN102790793A - Decision method and control module facing to cloud computing virtual machine migration - Google Patents
Decision method and control module facing to cloud computing virtual machine migration Download PDFInfo
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Abstract
The invention provides a decision method and a control module facing to cloud computing virtual machine migration. The control module is composed of a migration trigger module, a virtual machine choosing module and a destination node choosing module. The method includes: firstly setting load threshold value of the system through the migration trigger module, and enabling the system to effectively prevent instant load peak value from triggering unnecessary virtual machine migration by utilizing the load forecast technology; enabling the virtual machine choosing module to choose the virtual machine needing migration according to the migration cost minimum strategy, and reducing the migration cost of the virtual machine to the minimum value to save system resources; and finally, enabling the destination node choosing module to provide the destination node choosing strategy based on weighting probability choosing algorithm. Therefore, the problem of aggregation collision caused by migration of a large number of virtual machines is effectively solved. At last, the decision method can well achieve load balancing and enables resources to be used fair and reasonably.
Description
Technical field
The present invention relates to a kind of decision-making technique and control module towards the cloud computing virtual machine (vm) migration, this method is applied to virtual machine (vm) migration in the system for cloud computing system, belongs to the Computer Science and Technology field.
Background technology
Cloud computing (cloud computing) is the technique direction that rose in the world in recent years, also is the research focus of present areas of information technology.Cloud computing be a kind of brand-new, based on the account form of the Internet.In this way, the hardware resource of whole system is virtualized into a unified virtual resource pond, distributes to the user to resources all in the system according to actual demand or other strategies by the virtual management platform then.Because cloud computing has realized the unified management of computer resource; The user no longer participates in building, administering and maintaining of bottom hardware resource, system platform or even application software; And only need pay close attention to the actual demand of self product, so just greatly reduce the operation expense of enterprise.In the face of its huge commercial opportunities, information industry giant such as IBM, Amazon, Microsoft, Google, Huawei, China Mobile, Baidu etc. have all issued the cloud computing platform of oneself both at home and abroad.
The virtual machine (vm) migration technology is key technology in the cloud computing, can virtual machine and service thereof intactly be moved to another physical node (purpose computer) from a physical node (source computer) through it.By the virtual machine (vm) migration technology, cloud computing system has realized system's on-line maintenance and upgrading, resource dynamic management, system failure tolerance and dynamic load leveling, thereby has improved system resource and energy use efficiency, and has improved the system safety performance.
Press virtual machine (vm) migration process triggering factors, virtual machine (vm) migration can be divided into CPU triggering, internal memory triggering, the network bandwidth triggers and external memory triggers four types; The user is asked response and provides service, virtual machine (vm) migration can be divided into two types of static migrating and dynamic migrations by whether interrupting in the transition process.Static migrating is a kind of shutdown migration, and the virtual machine that promptly after migration triggers, is moved stops immediately carrying out and refuses to respond new service, accomplishes up to virtual machine (vm) migration; Dynamic migration is not then interrupting externally providing service or under not by the prerequisite of user's perception, is accomplishing virtual machine (vm) migration for system.At present, the online migrating technology of the virtual machine that the virtualization software of main flow provides the commercial city to propose oneself is like the VMotion of VMware company and the Live Migration of Xen company etc.
Existing migration mechanism generally is through the whole transition process of virtual machine controller management; Mainly start the foundation of migration as node with the host CPU utilance; And the selection strategy of its migration destination node is normally based on selecting or take based on minimum bandwidth at random, causes existing migration strategy generally to lack comprehensive to system resource sensitiveness and resource analysis.In addition, adopt existing migration strategy to carry out virtual machine (vm) migration and cause the momentary load peak value to trigger unnecessary virtual machine (vm) migration easily, or cause the migration service conflict that causes by bunching effect, even because of the unreasonable secondary migration that triggers of migration destination node selection.Have characteristics such as the migration data transmission quantity is big, length consuming time to virtual machine (vm) migration in the cloud computing system; This patent has proposed a kind of decision-making technique and control module towards the cloud computing virtual machine (vm) migration, wherein comprises migration trigger module, fictitious host computer selection module and destination node and selects module.This method can effectively avoid triggering unnecessary virtual machine (vm) migration; Reduce the system load that virtual machine (vm) migration causes; Solve the clustering collision problem that causes because of a large amount of virtual machine (vm) migrations, and well balance system load, final realization is to the decision-making and the control of virtual machine (vm) migration in the system for cloud computing.
Summary of the invention
According to current technical background and condition, and to the characteristics and the requirement of system for cloud computing and virtual managing computing resources and scheduling, the present invention proposes a kind of decision-making technique and control module towards the cloud computing virtual machine (vm) migration.
The technical scheme that the present invention adopts is following:
The present invention is a kind of decision-making technique and control module towards the cloud computing virtual machine (vm) migration, and it is mainly by the migration trigger module, and fictitious host computer selects module and destination node to select module three parts to form.Fig. 1 has shown above-mentioned 3 parts and correlation thereof.Wherein, the function of every part is following:
The migration trigger module; This module is an assembly of virtual machine (vm) migration control function module in the cloud computing environment; Its function is the resource operating position of monitoring physical node (server) and virtual machine thereof in real time; And combine load estimation technology determination source node whether need start the virtual machine (vm) migration process, avoid triggering unnecessary virtual machine (vm) migration.
Fictitious host computer is selected module; This module is an assembly of virtual machine (vm) migration control function module in the cloud computing environment; The fictitious host computer of its function for selecting according to each resources of virtual machine distribution of going up operation at source node (server) and operating position finally to be moved; Drop to the virtual machine (vm) migration cost minimum, conserve system resources.
Destination node is selected module; This module is an assembly of virtual machine (vm) migration control function module in the cloud computing environment; Its function is to select the destination node of virtual machine (vm) migration according to the resource operating position of other nodes (except that source node); Avoid bunching effect to cause service-impacting, and help system realize load balancing.
In the cloud computing system environment, the virtual machine (vm) migration control module can adopt distributed deployment, also can adopt centralized deployment.Adopting distributed is that the migration control module is deployed in each network node, and node is through the loading condition and the migration request of the form issue oneself of broadcasting; Adopting centralized then is the management host (Administrator) that the migration control module only is deployed in system; All nodes reach the resources of virtual machine distribution of operation above that and utilize situation in the concentrated statistics network of management host, and all virtual machine (vm) migration requests in the unified management network.Be convenient management, the general centralized deployment that adopts in cloud computing system.As not adding detailed description, migration control module acquiescence adopts the centralized deployment mode in this patent.
Shown in Fig. 2 flow chart; In cloud computing environment, accomplish virtual machine (vm) migration and can be divided into following 5 step: a, source node (server) startup migration trigger module; B, migration trigger module start the virtual machine (vm) migration program, and c, fictitious host computer select the module selection to need the fictitious host computer of migration, and d, destination node select module to select the destination node of virtual machine (vm) migration; E, system set up network and connect, and accomplish virtual machine (vm) migration.
(1) source node (server) starts the migration trigger module.Can cause the slack-off or network blockage of service response when node load surpasses load threshold for a long time, even cause virtual machine to crash or source node (server) collapse.The migration trigger module is provided with load threshold according to the concrete resource distribution of node and the service that is provided respectively for CPU, internal memory, external memory and the bandwidth of each node in this patent.When the threshold value of node load above regulation, source node (server) starts the migration trigger module and writes down and trigger type.
(2) the migration trigger module starts the virtual machine (vm) migration program.The migration trigger module continues to monitor node load with cycle T; In a continuous N monitoring periods; The source node load is as satisfying following three condition: a, load average above the threshold value that is provided with; B, (the inferior monitor value of 0＜n≤N) surpasses threshold value, c, utilizes the load estimation technology to obtain source node (server) to satisfy preceding two conditions equally in the load in a following N cycle, then move trigger module and on source node, start the virtual machine (vm) migration program to have n at least.Can not satisfy simultaneously like above-mentioned three conditions, then move trigger module and continue to intercept.Wherein, n and N are more little, and trigger condition is loose more, cause the possibility of invalid migration big more; Otherwise n and N are big more, and trigger condition is stricter, and initiating system decreased performance or even the possibility of collapsing because of the overweight initiating system of load are big more
(3) fictitious host computer selects the module selection to need the fictitious host computer of migration.Fictitious host computer selects the module choosing to need the fictitious host computer of migration mainly to consider following two aspects: the computational resource that a, the fictitious host computer that is moved take must surpass the load threshold part greater than node load, and promptly the node load after the migration can come back in the load threshold; B, transit time, downtime (down time) need short as far as possible, and it is the least possible that required volume of transmitted data is accomplished in migration.Provide the type of service and migration that system load and services request are influenced according to migration triggering type, virtual machine, this strategy computer resource (CPU, internal memory, external memory, the network bandwidth) shared to virtual machine given migration cost weight coefficient (h
c, h
m, h
s, h
b), h wherein
c+ h
m+ h
s+ h
b=1.Its concrete steps are following:
(1) fictitious host computer select all virtual machines on the module detection node VM|VM1, VM2 ... The actual computer resource that uses, wherein resource (CPU, internal memory, external memory, the network bandwidth) occupancy with virtual machine VMi (VMi ∈ VM) is designated as: (VMi
c, VMi
m, VMi
s, VMi
b).
(2) fictitious host computer selects module to exceed the load size and triggering type of threshold value according to source node (server), filters out all and after moving out, can make source node (server) load restoration arrive threshold value with interior virtual machine.
(3) fictitious host computer is selected module to calculate all and is filtered out the migration cost weighted value H of virtual machine.The migration cost weighted value H of VMi
i=VMi
c* h
c+ VMi
m* h
m+ VMi
s* h
s+ VMi
b* h
b
(4) choose the fictitious host computer of the minimum virtual machine of H value as migration.
(4) destination node selects module to select the destination node of virtual machine (vm) migration.Receiving after fictitious host computer selects fictitious host computer relevant information that module provides, destination node selects module according to fictitious host computer the demand of computational resource to be selected the migration destination node.Select destination node mainly to consider from following two aspects: the idling-resource part a, all resources of destination node must reach the demand of institute's migration fictitious host computer to resource.Idling-resource is meant the resource residual amount after the destination node load threshold deducts the stock number of having used.Wherein, the computational methods of obtaining source node (server) load in the stock number of having used and the step (two) are similar, and averaging then through the statistics and the system load value in M cycle of prediction earlier obtains.B, in the node set that satisfies condition, the low more node sink virtual machine of integrated load migration possibility is big more, the service-impacting that should avoid a plurality of migration service bunching effects to cause simultaneously.Based on above consideration, this patent is given corresponding weighted value to node (server) resource (CPU, internal memory, external memory, the network bandwidth) that satisfies condition: (d
c, d
m, d
s, d
b), d wherein
c+ d
m+ d
s+ d
b=1.
Its concrete steps are following:
(1) destination node select module through be similar to observe earlier in the step (two) the load monitoring technology of afterwards predicting obtain all nodes DN|DN1, DN2 ... Idling-resource size; And with the resource (CPU of node DNi (DNi ∈ DN); Internal memory, external memory, the network bandwidth) occupancy is designated as: (DNi
c, DNi
m, DNi
s, DNi
b).
(2) must be according to the vacant stock number of destination node greater than the principle of being moved fictitious host computer resource requirement amount, destination node selects module to filter out all nodes that can accept fictitious host computer (server).
(3) destination node selection module is calculated the preferential weighted value D as the virtual machine (vm) migration destination node of the node (server) that is filtered out, and wherein DNi is as the weighted value D of destination node
i=DNi
c* d
c+ DNi
m* d
m+ DNi
s* d
s+ DNi
b* d
b
(4) destination node selects module to calculate the probability-weighted value that each node possibly become destination node: p
i=D
i/ ∑ D
i, from the quilt node set that filters out, select a node as destination node through the probability selection mode.Wherein, the possibility that the node that the Di value is big more is chosen as destination node is big more.
(5) in the virtual machine (vm) migration program process; Destination node selects module will lock source node and destination node; These two nodes are forced as the migration destination node weighted value D of other virtual machine (vm) migration programs are changed to 0, carry out up to this virtual machine (vm) migration program and finish.
(5) source node (server) and destination node are set up network and are connected and accomplish virtual machine (vm) migration.
Description of drawings
Fig. 1 is towards the decision-making technique and the control module sketch map of cloud computing virtual machine (vm) migration
Fig. 2 is towards the flow chart of cloud computing virtual machine (vm) migration
Fig. 3 is towards the decision-making technique and the control module instance graph of cloud computing virtual machine (vm) migration
Embodiment
For making the object of the invention, technical scheme and advantage clearer; To combine embodiment of the invention accompanying drawing that the technical scheme in the embodiment of the invention is carried out clear, intactly description below; Obviously; Described embodiment also only is a part of embodiment of the present invention, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.
In order to specify virtual machine (vm) migration decision-making technique and control module, provided a embodiment here like Fig. 3 towards cloud computing.In this embodiment; System adopts the virtual machine (vm) migration control module and four station servers of centralized deployment to form by one, is respectively source node, node 1, node 2, node 3 (IP is respectively: 10.108.36.100,10.108.36.101,10.108.36.102,10.108.36.103).The source server system is a double-core x86 system, and CPU frequency is 2.4GHz, and the cpu load threshold value is 68%, on source server the operation have three virtual machines (VM1, VM2, VM3).
The first step is shown in Fig. 3 (a), at t
0Constantly the source server cpu load surpasses the threshold value 68% that is provided with, and the migration trigger module is triggered and starts and note that to trigger type be that CPU triggers.
In second step, shown in Fig. 3 (a), the migration trigger module is 20 cycles of cycle continuous monitoring with 0.5s.The cpu load average that migration trigger module monitoring obtains source server be 83% (greater than threshold value 68% and exceed 15%) and wherein more than 10 load values greater than load threshold; In addition, through the load estimation technology, also satisfy above two conditions in following 20 endogenous node cpu loads of cycle, the migration trigger module starts the virtual machine (vm) migration program and triggers fictitious host computer and select module.
In the 3rd step, shown in Fig. 3 (b), fictitious host computer is selected module monitors to three virtual machine computational resource (CPU, internal memory, external memory; The network bandwidth) operating position be respectively (14%*4.8GHz, 2.0G, 2.5T, 1.2GB/s), (25%*4.8GHz; 2.5G, 3.5T, 1.5GB/s), (30%*4.8GHz, 3.0G; 3.7T 1.6GB/s), wherein the cpu load average of VM2 and VM3 satisfies the preliminary condition as fictitious host computer greater than 15%.If migration cost weight coefficient (h
c, h
m, h
s, h
b) be (0.1,0.3,0.4,0.2), the migration cost weighted value H of virtual machine VM2 can be arranged
2=25%*4.8*0.1+2.5*0.3+3.5*0.4+1.5*0.2=2.57 in like manner has the migration cost weighted value H of virtual machine VM3
3=2.84; Finally, the fictitious host computer of fictitious host computer selection module selection VM2 for being moved triggers simultaneously also and informs destination node selection module to the relevant information of VM2.
In the 4th step, shown in Fig. 3 (c), destination node selects module to extract the vacant information of other all node resources, is respectively node 1 (1.0GHz, 2.0G; 4T, 2.0GB/s), node 2 (2.0GHz, 3.0G, 4.3T; 2.5GB/s), node 3 (2.5GHz, 3.5G, 5.0T, 2.5G B/s); According to the VM2 relevant information that fictitious host computer selects module to provide, because the CPU of node 1 and the demand that the internal memory surplus value all can not satisfy VM2, Preliminary screening egress 2 is alternative destination node with node 3, and (d is set
c, d
m, d
s, d
b) be (0.3,0.3,0.2,0.2); It is D2=2.0*0.3+3.0*0.3+4.3*0.2+2.5*0.2=2.86 as the weighted value D of destination node that destination node selects module to obtain node 2 according to the weights calculative strategy, in like manner, and D3=3.3.The p that obtains according to probability-weighted value pi=Di/ ∑ Di
2=45%, p
3=55%, destination node selects module finally to select node 3 to be destination server according to the probability selection strategy.
At last, shown in Fig. 3 (d), set up network between source server (10.108.36.100) and node 3 (10.108.36.102) and be connected, carry out corresponding calculated machine resource migration and accomplish whole virtual machine (vm) migration process.
The above is merely preferred embodiment of the present invention, and is in order to restriction the present invention, not all within spirit of the present invention and principle, any modification of being done, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (4)
1. decision-making technique and control module towards a cloud computing virtual machine (vm) migration is characterized in that: this method is by the migration trigger module, and fictitious host computer selects module and destination node to select module three parts composition.Wherein, the migration trigger module judges whether system need trigger virtual machine (vm) migration; Virtual machine selects which fictitious host computer on the module determining source node to need migration; Destination node is selected the destination node (server) of module decision migration.
2. migration trigger module according to claim 1; It is characterized in that: this module is through being provided with the system load threshold value; And utilize load estimation technology determination source node (server) whether need trigger the virtual machine (vm) migration program, make system effectively avoid the momentary load peak value to trigger unnecessary virtual machine (vm) migration.
3. migration main frame according to claim 1 is selected module; It is characterized in that: this module can make source node (server) be lower than the virtual machine of load threshold operation after at first filtering out all migrations; Calculate the migration cost weighted value of virtual machine then, select the minimum virtual machine of weighted value at last as the migration main frame; It is minimum that this module drops to the virtual machine (vm) migration cost, conserve system resources.
4. destination node according to claim 1 is selected module; It is characterized in that: this module is selected destination node through using the probability-weighted algorithm; Resource to destination node is comprehensively analyzed; Efficiently solve the clustering collision problem that causes because of a large amount of virtual machine (vm) migrations, and realize load balancing well, make resource obtain fair and reasonable application.
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| 郭涛 等: "基于个性化的云平台虚拟机部署机制的研究", 《大连理工大学学报》 * |
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