KR20150132773A - Apparatus for controlling virtual environment and method for managing virtual machine - Google Patents
Apparatus for controlling virtual environment and method for managing virtual machine Download PDFInfo
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- KR20150132773A KR20150132773A KR1020140059150A KR20140059150A KR20150132773A KR 20150132773 A KR20150132773 A KR 20150132773A KR 1020140059150 A KR1020140059150 A KR 1020140059150A KR 20140059150 A KR20140059150 A KR 20140059150A KR 20150132773 A KR20150132773 A KR 20150132773A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/5044—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering hardware capabilities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5077—Logical partitioning of resources; Management or configuration of virtualized resources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2416—Real-time traffic
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Abstract
Description
The present invention relates to a virtual environment control device and a virtual machine management method, and more particularly, to a virtual environment control device and a virtual machine management method for connecting a plurality of computing devices to a virtual machine.
With the rapid growth of the mobile communication industry related to mobile communication devices including smart phones, there is an increasing interest in technologies for using cloud services through mobile terminals. A cloud service is a service that stores various contents on a server connected to the Internet and reads stored contents through various kinds of terminals without restriction of a place.
On the other hand, as the amount of data used for cloud services has increased exponentially, there has been a limit in terms of hardware performance and processing capacity in order to process the whole data only by a personal computer. For this reason, in order to process a large amount of data and efficiently share computing resources, virtual machines of a virtualization environment configured by combining a plurality of computing devices are used. Such a computing method is called cloud computing.
Software-defined networking (SDN) is a networking approach to support cloud computing. The SDN is a networking method that separates the control plane and the data plane and transfers the data by determining the packet delivery method for each of the distributed SDN switches. The SDN defines an API (Application Programming Interface) between the data plane and the control plane. In the defined API, free network configuration is possible independently.
In addition, Network Function Virtualization (NFV) is the emerging technology to create an efficient virtualization environment. As the life cycle of network equipment shortens due to rapid technological development and change of service environment, existing hardware based network equipment can not respond to changes of external environment quickly. In this regard, the NFV combines a standardized large-capacity server, switch or storage to form a network system, thereby reducing costs and improving efficiency. Currently, NFV is being developed to implement software-based network functions using virtual machines.
However, there is a problem that the network function implemented by software such as NFV necessarily has lower performance than the network function implemented by dedicated hardware.
It is an object of the present invention to provide a virtual environment control device and a virtual machine management method for further enhancing the performance of a cloud computing or virtualization environment by expanding a computing resource allocated to a virtual server or a virtual machine as necessary in cloud computing There is.
It is another object of the present invention to provide a virtual environment control device and a virtual machine management method which are less restricted by hardware in performance improvement.
According to embodiments of the present invention, a virtual machine management method of a virtualized environment of cloud computing includes collecting monitoring information from at least one virtual server or at least one virtual machine; Controlling a life cycle of the at least one virtual server or the at least one virtual machine based on the collected monitoring information; And controlling the load of the at least one virtual server or the at least one virtual machine according to the control of the life cycle.
In an embodiment, the monitoring information includes information about computing resources or network resources of the at least one virtual server or the at least one virtual machine.
In an embodiment, the computing resource includes memory usage and CPU usage of the at least one virtual server or the at least one virtual machine.
In an embodiment, the network resource includes traffic information of the at least one virtual server or the at least one virtual machine and queue information for packet processing.
As an embodiment, the step of controlling the lifecycle includes transmitting a first control signal for controlling the life cycle to the at least one virtual server or the at least one virtual machine, Moves, deletes, or adds a new virtual server or virtual machine to at least one of the at least one virtual server or the at least one virtual machine.
As an embodiment, the step of controlling the load includes transmitting a second control signal for controlling the load to the at least one virtual server or the at least one virtual machine in accordance with the life cycle, Control of the load is performed by changing or controlling the network resources allocated to the at least one virtual server or the at least one virtual machine.
As an embodiment, in the virtualization environment, the network connection of the at least one virtual server or the at least one virtual machine is performed through a SDN (Software Defined Networking) switch, the transmission of the second control signal is performed by the SDN switch Lt; RTI ID = 0.0 > SDN < / RTI >
According to embodiments of the present invention, a virtual environment control apparatus for cloud computing includes a monitoring unit for collecting monitoring information from at least one virtual server or at least one virtual machine; A first control unit for controlling the life cycle of the at least one virtual server or the at least one virtual machine based on the collected monitoring information; And a second controller for controlling a load of the at least one virtual server or the at least one virtual machine according to the control of the life cycle.
In an embodiment, the virtual environment control device is an OpenStack based cloud control device, the first control device includes an OpenStack Nova, and the second control device is an OpenStack Neutron device. .
In an embodiment, the second control unit comprises an SDN controller for controlling the SDN switch of the at least one virtual server or the at least one virtual machine, wherein the SDN switch comprises at least one virtual server or at least one virtual And controls connection or disconnection of the network on the network path of the machine.
According to embodiments of the present invention, the computing resources allocated to the virtual server or the virtual machine in the cloud computing can be expanded as needed, thereby further improving the performance of the cloud computing or virtualization environment.
In addition, by applying scale-out extension to a virtual server or a virtual machine, the performance of a cloud computing or virtualization environment can be improved relatively freely from hardware restrictions.
1 is a block diagram that schematically illustrates a virtualization environment, in accordance with an embodiment of the present invention.
2 is a block diagram illustrating a specific configuration and operation of a virtual environment control device according to an embodiment of the present invention.
3 is a block diagram illustrating a specific configuration and operation of a virtual environment control device according to another embodiment of the present invention.
4 is a block diagram illustrating a specific configuration and operation of a virtual environment control apparatus according to another embodiment of the present invention.
5 is a flowchart showing a virtual machine management method according to an embodiment of the present invention.
FIG. 6 is a flow chart illustrating step S130 of FIG. 5 according to another embodiment of the present invention.
The following detailed description of the invention refers to the accompanying drawings, which illustrate, by way of illustration, specific embodiments in which the invention may be practiced. It should be understood that the various embodiments of the present invention are different, but need not be mutually exclusive. For example, certain features, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the invention in connection with one embodiment.
It should also be understood that the position or arrangement of the individual components within each disclosed embodiment can be variously modified without departing from the spirit and scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is principally defined by the appended claims, encompassed by the appended claims and their equivalents. Where similar reference numerals are used in the figures, like reference numerals refer to the same or similar functions for various embodiments.
Hereinafter, the contents and ideas of the present invention will be described with reference to the accompanying drawings.
As a typical method for improving the performance of a software implemented function or a function implemented in a virtual machine using a general server, there are a scale-up method and a scale-out method.
The scale-up method is a method of improving the processing capability of the virtual server or the virtual machine itself. For example, a method of replacing a processor used in a virtual server with a high-performance processor or assigning additional computing resources to a virtual machine within the range of available computing resources corresponds to a scale-up method. However, there are some limitations such as having a high-performance processor, or allocating additional computing resources to a virtual machine, such as a current skill level or a cost problem. Therefore, the improvement of the performance according to the scale-up method is limited.
On the other hand, the scale-out method is a method for increasing the number of apparatuses that perform tasks, and is a method for increasing the processing performance of the overall task by allowing a plurality of virtual servers or virtual machines to interwork with each other to process the tasks assigned thereto. Since it is possible to add a cautionary server or a virtual machine in parallel without any restriction, the performance improvement according to the scale-out method can be broadly applied.
In the cloud computing or its virtualization environment using the scale-out method, although the user actually performs work using a plurality of virtual servers or virtual machines, the user seems to perform tasks using a single computing device . In this process, certain controls on the network side must be accompanied by proper coordination between virtual machines and virtual machines with different MAC addresses and IP addresses, respectively. For example, on a network connected to virtual servers or virtual machines, control may be required to distribute and deliver packets destined for a specific destination to a plurality of different virtual servers. This distributed control can be performed through a load balancer that distributes the load imposed on the virtual server or virtual machines.
The present invention discloses an apparatus and method for enhancing the performance of a virtualized environment through a scale-out method in cloud computing. Specifically, in the present invention, a virtualization environment monitors computing resources or network resources of a virtual server or a virtual machine, and further enhances the performance of the virtualization environment by interworking a new virtual server or a virtual machine as needed.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS In the following, some embodiments embodying the invention are presented with reference to the accompanying drawings.
1 is a block diagram that schematically illustrates a virtualization environment, in accordance with an embodiment of the present invention. Referring to FIG. 1, a
The
The virtual
1, a general overview of the present invention has been mainly described. According to the configuration of FIG. 1, there is provided a virtualization environment for monitoring a computing resource or a network resource of a virtual server or a virtual machine, and performing a scale-up performance improvement according to the result. Therefore, the performance of the virtualization environment can be improved more efficiently than the conventional techniques.
Hereinafter, the operation method of the present invention will be described in detail with concrete configurations of the virtual
2 is a block diagram illustrating a specific configuration and operation of a virtual environment control device according to an embodiment of the present invention. Referring to FIG. 2, the
The virtual
The monitoring information IM includes information on the computing resources and the network resources of the
The
The
For example, when the
On the contrary, if the
When a change occurs in the
A plurality of
The
The
As an embodiment, the
The
According to the above-described configuration, the computing resources allocated to the virtual server or the virtual machine in the cloud computing can be scaled out as needed, thereby further improving the performance of the cloud computing or virtualization environment. In addition, since scale-out extension is applied, it is possible to improve the performance of cloud computing or virtualization environment relatively freely from hardware constraints.
3 is a block diagram illustrating a specific configuration and operation of a virtual environment control device according to another embodiment of the present invention. Referring to FIG. 3, the
The virtual
2, the virtual
The
The
3, the virtual
The
The
The
Alternatively, the
More specific details of the open stack, open stack nova, open stack neuron, and open stack metering areas are well known in the art, and a description thereof will be omitted here.
The
4 is a block diagram showing a specific configuration and operation of a virtual machine management apparatus according to another embodiment of the present invention. Referring to FIG. 4, the
The virtual
2, the virtual
As an example, the virtual
4, the
In FIG. 4, an entire network is implemented as an SDN switch in order to solve a network problem that may occur when controlling a plurality of virtual servers or virtual machines. The details of the SDN switch are well known in the art, and a description thereof will be omitted here.
In this embodiment, communication between the
In this case, the
In the embodiment of FIG. 4, the
The
According to the above configuration, since the network is controlled using the SDN controller 140, the hardware-based SDN switch can be controlled simultaneously with the software-based virtual switch, and the SDN controller 140 can completely control the network- So that the load of the open stack neuron can be reduced.
5 is a flowchart showing a virtual machine management method according to an embodiment of the present invention. Referring to FIG. 5, the virtual machine management method includes steps S110 to S130.
2) or the
In step S120, the virtual
In step S130, the virtual
According to the above-described configuration, the computing resources allocated to the virtual server or the virtual machine in the cloud computing can be scaled out as needed, thereby further improving the performance of the cloud computing or virtualization environment. In addition, since scale-out extension is applied, it is possible to improve the performance of cloud computing or virtualization environment relatively freely from hardware constraints.
FIG. 6 is a flow chart illustrating step S130 of FIG. 5 according to another embodiment of the present invention. Referring to FIG. 6, step S130 of FIG. 5 includes steps S131 and S132.
6, the network control of the
In step S131, the virtual
In step S132, the SDN controller 140 transmits a second control signal (e.g., LC in Fig. 4) to the
According to the above configuration, since the network is controlled using the SDN controller 140, the hardware-based SDN switch can be controlled simultaneously with the software-based virtual switch, and the SDN controller 140 can completely control the network- The load of the
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments.
Also, although specific terms are used herein, they are used for the purpose of describing the invention only and are not used to limit the scope of the present disclosure as defined in the claims or the claims. Therefore, the scope of the present specification should not be limited to the above-described embodiments, but should be defined by the appended claims and their equivalents.
1000, 2000, 3000, 4000: virtualization environment 100: virtualization environment control device
110: first control unit 120: second control unit
130: Monitoring section 140: SDN controller
200, 300, 400:
211, 212, 213, 311, 312, 313:
Claims (10)
Collecting monitoring information from at least one virtual server or at least one virtual machine;
Controlling a life cycle of the at least one virtual server or the at least one virtual machine based on the collected monitoring information; And
And controlling the load of the at least one virtual server or the at least one virtual machine in accordance with the control of the lifecycle.
Wherein the monitoring information includes information about computing resources or network resources of the at least one virtual server or the at least one virtual machine.
Wherein the computing resource comprises memory usage and central processing unit (CPU) usage of the at least one virtual server or the at least one virtual machine.
Wherein the network resource comprises traffic information of the at least one virtual server or the at least one virtual machine and queue information for packet processing.
Wherein the controlling the lifecycle comprises:
And transferring a first control signal for controlling the life cycle to the at least one virtual server or the at least one virtual machine,
Wherein the control of the lifecycle includes changing, moving, deleting or adding a new virtual server or a virtual machine to at least one of the at least one virtual server or the at least one virtual machine.
The step of controlling the load includes:
And transmitting a second control signal for controlling the load to the at least one virtual server or the at least one virtual machine according to the life cycle,
Wherein the control of the load is performed by changing or controlling network resources allocated to the at least one virtual server or the at least one virtual machine.
In the virtualization environment, the network connection of the at least one virtual server or the at least one virtual machine is performed through a SDN (Software Defined Networking) switch,
Wherein the transfer of the second control signal is performed by an SDN controller that controls the SDN switch.
A first control unit for controlling the life cycle of the at least one virtual server or the at least one virtual machine based on the collected monitoring information; And
And a second control unit for controlling the load of the at least one virtual server or the at least one virtual machine in accordance with the control of the life cycle.
The virtual environment control device is a cloud control device based on OpenStack,
The first control unit includes an open stack Nova,
Wherein the second controller comprises an OpenStack Neutron.
Wherein the second control unit comprises an SDN controller for controlling an SDN switch of the at least one virtual server or the at least one virtual machine,
Wherein the SDN switch controls connection or disconnection of the network on the network path of the at least one virtual server or the at least one virtual machine.
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Cited By (1)
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KR101984714B1 (en) * | 2018-08-23 | 2019-05-31 | (주) 글루시스 | Vertualized resource monitoring system |
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KR101984714B1 (en) * | 2018-08-23 | 2019-05-31 | (주) 글루시스 | Vertualized resource monitoring system |
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