CN111600943A - Method and equipment for acquiring target data - Google Patents
Method and equipment for acquiring target data Download PDFInfo
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- CN111600943A CN111600943A CN202010388167.5A CN202010388167A CN111600943A CN 111600943 A CN111600943 A CN 111600943A CN 202010388167 A CN202010388167 A CN 202010388167A CN 111600943 A CN111600943 A CN 111600943A
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- target data
- storage server
- physical machine
- virtual machine
- acquisition request
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/563—Data redirection of data network streams
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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
- G06F9/45558—Hypervisor-specific management and integration aspects
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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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
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45595—Network integration; Enabling network access in virtual machine instances
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
According to the method for acquiring the target data, firstly, when a preset condition is met, a physical machine sends a target data acquisition request to a storage server, the storage server receives the target data acquisition request sent by the physical machine, then the storage server sends the target data to the physical machine based on the target data acquisition request, the physical machine receives the target data sent by the storage server based on the target data acquisition request, and finally the physical machine sends the target data to a created virtual machine so that the virtual machine operates based on the target data. By the method, the target data can be sent to the physical machine where the virtual machine is located from the storage server in advance before the virtual machine runs, the data transmission pressure of input and output of network equipment and the storage server in the private cloud network does not need to be increased when the virtual machine runs, the private cloud computing efficiency is improved, and the method has the beneficial effects.
Description
Technical Field
The application relates to the technical field of cloud computing, in particular to a technology for acquiring target data.
Background
In private cloud computing, there is a case where multiple virtual machines in the same physical machine or different physical machines need to download the same target data at the same time. If the target data volume is large and the concurrency of the virtual machine is large, the data transmission causes a large pressure to the input and output of the network device and the storage server, so that the speed of the virtual machine for acquiring the target data is very slow.
As shown in fig. 1, an example private cloud system has 4 physical machines, and a total of 10 virtual machines run on each physical machine, and if each virtual machine simultaneously requests a storage server to download data, 10 network traffic connections simultaneously exist on a switch 1 and the storage server. Meanwhile, the fact that more network flow connections may bring insufficient bandwidth to network ports of the switch and the storage server causes reduction of speed of an internal network, increase of time delay, and large network pressure on the switch 1 and the storage server.
Disclosure of Invention
The application aims to provide a method and equipment for acquiring target data, and the method and equipment are used for solving the technical problem of low speed when multiple virtual machines simultaneously request data in the existing private cloud computing.
According to one aspect of the application, a method for acquiring target data at a private cloud physical machine end is provided, wherein the method comprises the following steps:
when a preset condition is met, sending a target data acquisition request to a storage server;
receiving target data sent by the storage server based on the target data acquisition request;
and sending the target data to the created virtual machine so that the virtual machine runs based on the target data.
Preferably, wherein the preset conditions include:
the virtual machine has been created;
the target data does not exist locally.
Preferably, the method for obtaining target data at the private cloud physical machine side further includes:
and when the virtual machine runs based on the target data, the target data are not used within a preset time, and then the target data are cleared.
According to another aspect of the present application, there is also provided a method for obtaining target data at a private cloud storage server, where the method includes:
receiving a target data acquisition request sent by a physical machine;
and sending target data to the physical machine based on the target data acquisition request so that the physical machine sends the target data to the created virtual machine.
According to another aspect of the present application, there is also provided a private cloud physical machine device for acquiring target data, wherein the device includes:
the first device is used for sending a target data acquisition request to the storage server when a preset condition is met;
a second device, configured to receive target data sent by the storage server based on the target data acquisition request;
and the third device is used for sending the target data to the created virtual machine so as to enable the virtual machine to run based on the target data.
According to still another aspect of the present application, there is also provided a private cloud storage server device for acquiring target data, wherein the device includes:
the fourth device is used for receiving a target data acquisition request sent by the physical machine;
and a fifth device, configured to send target data to the physical machine based on the target data obtaining request.
Compared with the prior art, according to the method for acquiring the target data, firstly when a preset condition is met, the physical machine sends a target data acquisition request to the storage server, the storage server receives the target data acquisition request sent by the physical machine, then the storage server sends the target data to the physical machine based on the target data acquisition request, the physical machine receives the target data sent by the storage server based on the target data acquisition request, and finally the physical machine sends the target data to the created virtual machine so that the virtual machine operates based on the target data. By the method, the target data can be sent to the physical machine where the virtual machine is located from the storage server in advance before the virtual machine runs, the data transmission pressure of input and output of network equipment and the storage server in the private cloud network does not need to be increased when the virtual machine runs, the private cloud computing efficiency is improved, and the method has the beneficial effects.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings:
fig. 1 illustrates a private cloud system network traffic diagram of one example of the prior art;
FIG. 2 illustrates a private cloud system architecture diagram of the present application;
FIG. 3 illustrates a flow chart of a method for obtaining target data at a private cloud physical machine in one aspect of the subject application;
fig. 4 shows a flowchart of a method for obtaining target data at a private cloud storage server according to yet another aspect of the present application;
FIG. 5 illustrates a private cloud system network traffic diagram for obtaining target data according to one embodiment of an aspect of the subject application;
FIG. 6 illustrates a private cloud physical machine device schematic diagram for obtaining target data in accordance with yet another aspect of the subject application;
FIG. 7 illustrates a storage server machine apparatus for retrieving target data according to yet another aspect of the subject application;
the same or similar reference numbers in the drawings identify the same or similar elements.
Detailed Description
The present invention is described in further detail below with reference to the attached drawing figures.
In a typical configuration of the present application, each module and trusted party of the system includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
In order to further explain the technical means and effects adopted by the present application, the following description clearly and completely describes the technical solution of the present application with reference to the accompanying drawings and preferred embodiments.
Fig. 2 shows a schematic diagram of a private cloud system of the present application, which includes a physical machine 110, a storage server 120, a switch 130, a switch 131, and a private cloud network. The physical machine 110 is provided with a plurality of virtual machines based on user requirements, the virtual machines are connected to a private cloud network through a switch 131, the storage server 120 is also connected to the private cloud network through a switch 130, and the physical machine 110 and the storage server 120 realize data communication through the private cloud network.
According to the service and performance requirements provided by the private cloud, in different application scenarios, there may be several physical machines 110 and storage servers 120, each physical machine and storage server accesses the private cloud network through a switch, and data communication between the devices is realized through the private cloud network.
In the present application, the physical machine 110 and the storage server 120 are computer devices including, but not limited to, personal computers, notebook computers, industrial computers, computer servers, minicomputers, single network servers, and multiple network server sets. The physical machines and storage servers are described herein by way of example only, and other existing or future devices that may be present, such as those suitable for use in the present application, are also included within the scope of the present application and are hereby incorporated by reference.
The number of the virtual machines is determined according to the user requirements, once the user requirements are completed, the corresponding virtual machines are determined by the user to be deleted, and if the user requirements are deleted, the resources on the physical machine 110 are released.
The storage server 120 stores various data therein, and provides data required for the virtual machine to run on the physical machine 110.
Fig. 3 is a flowchart illustrating a method for obtaining target data at a private cloud physical entity according to an aspect of the present application, where the method of an embodiment includes:
s31, when meeting the preset condition, sending a target data acquisition request to the storage server;
s32, receiving target data sent by the storage server based on the target data acquisition request;
s33 sending the target data to the created virtual machine to cause the virtual machine to run based on the target data.
In the present embodiment, the method is performed by a physical machine 110.
In this embodiment, in the step S31, when a preset condition is satisfied, the target data acquisition request is sent to the storage server.
Preferably, wherein the preset conditions include:
the virtual machine has been created;
the target data does not exist locally.
Wherein, the virtual machine is created according to the requirements of users. For example, to do project testing on the private cloud, a number of virtual machines are created on a number of physical machines based on test cases in a test set, where each test case has predefined number of required virtual machines and the virtual machines are distributed to the physical machines according to predetermined rules of the private cloud. Thus, the number of virtual machines created on each physical machine is determined by the predetermined rules of the private cloud and the test set to be tested. The number and allocation of the virtual machines required by the test set may also be determined in other manners, which are not limited herein, and other manners of determining the number and allocation of the virtual machines required by the test set, as applicable, are also included in the scope of the present application.
When a virtual machine is created on the physical machine 110, the virtual machine first acquires a physical machine address where the virtual machine is located after being started, attempts to copy and acquire required target data from the physical machine, and sends a target data acquisition request to the storage server if the target data does not exist locally on the physical machine.
For example, when the project test is performed on the private cloud, the virtual machine runs the test set, which needs to first obtain some test dependent file data, which generally includes a bin format code package, a tool software package, and an iso format image file. The method comprises the steps that test dependent file data of all virtual machines on the same physical machine are integrated firstly, if the test dependent file data required by all the virtual machines on the same physical machine are the same or partially the same, and the same or partially same test dependent file data are stored on the physical machine, all the virtual machines do not need to apply to a storage server any more, only the file data which do not exist locally are required to be normalized to be target data, and a target data acquisition request is sent to the storage server.
The more test dependent file data required by the operation of each virtual machine are the same, the less target data required to be requested to be acquired from the storage server is, and the more obvious optimization effect of relieving the network traffic pressure of the switch and the storage server is.
In this embodiment, in step S32, the target data sent by the storage server based on the target data acquisition request is received.
The storage server 120 receives the target data obtaining request, and sends the target data to the physical machine 110, and the physical machine 110 receives the target data.
Continuing in this embodiment, in step S33, the target data is sent to the created virtual machine to cause the virtual machine to run based on the target data.
Wherein the virtual machine running on the physical machine 110 copies the target data, and runs the virtual machine based on the target book.
Preferably, the method for obtaining target data at the private cloud physical machine side further includes:
and when the virtual machine runs based on the target data, the target data are not used within a preset time, and then the target data are cleared.
For example, when the project test is performed on the private cloud, if all file data depended by the running of the virtual machine does not exist on the physical machine 110, a request for obtaining target data is sent to the storage server, the target data is received, all test dependent file data is stored locally, each virtual machine copies the required test dependent file data, and the running is performed based on the test dependent file data. And when the virtual machine runs based on the target data, the newly created virtual machine or other applications on the physical machine do not use the test dependent file data within a preset time, clearing the test dependent file data to release the storage resources of the physical machine.
Fig. 4 shows a flowchart of a method for obtaining target data at a private cloud storage server according to another aspect of the present application, wherein the method includes:
s41, receiving a target data acquisition request sent by a physical machine;
s42 sends target data to the physical machine based on the target data obtaining request, so that the physical machine sends the target data to the created virtual machine.
The method is performed by the storage server 120.
In step S41, a target data acquisition request sent by the physical machine is received. Wherein the target data obtaining request is sent by the physical machine 110 to the storage server 120 when a preset condition is met.
In step S42, target data is sent to the physical machine based on the target data obtaining request, so that the physical machine sends the target data to the created virtual machine.
The storage server 120 receives the target data obtaining request, and sends the target data to the physical machine 110, and the physical machine 110 receives the target data, and the virtual machine created thereon operates based on the target data.
Fig. 5 is a schematic diagram of a private cloud system optimized network traffic for obtaining target data according to an embodiment of an aspect of the present application, and is a schematic diagram of network traffic optimization corresponding to the example shown in fig. 1. In a private cloud system, the more virtual machines are created on a single physical machine, the more obvious the effect of optimizing the network traffic of the network port of the storage server and the switch connected with the network port is to adopt the technical scheme described in the application.
Fig. 6 shows a schematic diagram of a private cloud physical machine device for acquiring target data according to another aspect of the present application, where the device includes:
a first means 61, configured to send a target data acquisition request to the storage server when a preset condition is satisfied;
a second device 62, configured to receive target data sent by the storage server based on the target data obtaining request;
third means 63 for sending the target data to the created virtual machine, so that the virtual machine operates based on the target data.
FIG. 7 is a schematic diagram of a storage server machine for retrieving target data according to yet another aspect of the present application, wherein the apparatus comprises:
a fourth device 71, configured to receive a target data obtaining request sent by a physical machine;
a fifth means 72, configured to send target data to the physical machine based on the target data obtaining request.
According to yet another aspect of the present application, there is also provided a computer readable medium having stored thereon computer readable instructions executable by a processor to implement the foregoing method.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Claims (7)
1. A method for obtaining target data at a private cloud physical machine end, the method comprising:
when a preset condition is met, sending a target data acquisition request to a storage server;
receiving target data sent by the storage server based on the target data acquisition request;
and sending the target data to the created virtual machine so that the virtual machine runs based on the target data.
2. The method according to claim 1, wherein the preset condition comprises:
the virtual machine has been created;
the target data does not exist locally.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
and when the virtual machine runs based on the target data, the target data are not used within a preset time, and then the target data are cleared.
4. A method for obtaining target data at a private cloud storage server side is characterized by comprising the following steps:
receiving a target data acquisition request sent by a physical machine;
and sending target data to the physical machine based on the target data acquisition request so that the physical machine sends the target data to the created virtual machine.
5. A private cloud physical machine device for obtaining target data, the device comprising:
the first device is used for sending a target data acquisition request to the storage server when a preset condition is met;
a second device, configured to receive target data sent by the storage server based on the target data acquisition request;
and the third device is used for sending the target data to the created virtual machine so as to enable the virtual machine to run based on the target data.
6. A private cloud storage server device for obtaining target data, the device comprising:
the fourth device is used for receiving a target data acquisition request sent by the physical machine;
and a fifth device, configured to send target data to the physical machine based on the target data obtaining request.
7. A computer-readable medium comprising, in combination,
stored thereon computer readable instructions executable by a processor to implement the method of any one of claims 1 to 4.
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| CN202010388167.5A CN111600943B (en) | 2020-05-09 | 2020-05-09 | Method and equipment for acquiring target data |
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| CN202010388167.5A CN111600943B (en) | 2020-05-09 | 2020-05-09 | Method and equipment for acquiring target data |
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Cited By (1)
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| CN113507464A (en) * | 2021-07-06 | 2021-10-15 | 深圳市吉芯微半导体有限公司 | Data access method, device, equipment and storage medium based on virtual equipment |
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| CN111600943B (en) | 2023-05-30 |
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