CN103036721A - Traffic statistical method under cloud computing environment - Google Patents
Traffic statistical method under cloud computing environment Download PDFInfo
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- CN103036721A CN103036721A CN2012105415454A CN201210541545A CN103036721A CN 103036721 A CN103036721 A CN 103036721A CN 2012105415454 A CN2012105415454 A CN 2012105415454A CN 201210541545 A CN201210541545 A CN 201210541545A CN 103036721 A CN103036721 A CN 103036721A
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Abstract
The invention provides a traffic statistical method under a cloud computing environment. The traffic statistical method includes a step S1 that a virtual machine and a traffic statistical module are logically bound and a step S2 that the data traffic of the virtual machine is counted through the traffic statistical module. The traffic statistical method can accurately count network data flow under the cloud computing environment by counting the data traffic of the virtual machine.
Description
Technical field
The present invention relates generally to the cloud computing field, more specifically, relates to the flow statistical method under a kind of cloud computing environment.
Background technology
Traditional network auditing system is to use the network auditing system equipment of physics to be placed on network boundary, and the flow of inter access outside is audited.In the cloud computing field, it is fuzzy that network boundary becomes.The virtual machine of network internal has become different network systems, has too this border between these network systems.And traditional network audit system only is placed on the exit of whole network, is not placed in the internal network.So can not audit to the network traffics under the cloud computing environment.
Summary of the invention
For the defective of above-mentioned prior art, the present invention proposes the flow statistical method under a kind of cloud computing environment, how to have solved under cloud computing environment the exactly technical problem of statistics network data traffic.
According to an aspect of the present invention, provide the flow statistical method under a kind of cloud computing environment, having comprised: step S1: virtual machine and traffic statistics module have been carried out logic binding; And step S2: the data traffic of adding up described virtual machine by described traffic statistics module.
In the flow statistical method under the cloud computing environment, comprising: described step S1 comprises: the associate management module in the described virtual machine and described traffic statistics module are carried out logic binding.
In the flow statistical method under the cloud computing environment, comprising: described step S1 comprises: described associate management module is carried out logic binding by the IP address that obtains described traffic statistics module with described virtual machine and described traffic statistics module.
In the flow statistical method under the cloud computing environment, comprising: described step S2 comprises: described associate management module is sent to described traffic statistics module with the data traffic of described virtual machine.
In the flow statistical method under the cloud computing environment, described virtual machine and described traffic statistics module are in the Same Physical machine.
In the flow statistical method under the cloud computing environment, described virtual machine is in the different physical machine from described traffic statistics module.
In the flow statistical method under the cloud computing environment, described virtual machine comprises many virtual machines, every described virtual machine all comprises the associate management module that it is corresponding, and many described virtual machines are by its each self-corresponding associate management module and same flow statistical module logic binding.
In the flow statistical method under the cloud computing environment, described associate management module is the module in the described virtual machine.
In the flow statistical method under the cloud computing environment, described data traffic comprises the flow of the flow that is sent to the data in the described virtual machine and/or the data that send from described virtual machine.
In the flow statistical method under the cloud computing environment, described method also comprises: step S3: the result that described traffic statistics module will count is shown to the user.
The present invention adds up by the flow to virtual machine, can count exactly the network traffic data under the cloud computing environment.
Description of drawings
Accompanying drawing is used to provide a further understanding of the present invention, and consists of the part of specification, is used for together with embodiments of the present invention explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the flow chart according to the General Implementing example of the flow statistical method under the cloud computing environment of the present invention;
Fig. 2 is the flow chart according to the specific embodiment of the flow statistical method under the cloud computing environment of the present invention;
Fig. 3 is the schematic diagram according to the example of the flow statistical method under the cloud computing environment of the present invention.
Embodiment
Below in conjunction with accompanying drawing the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein only is used for description and interpretation the present invention, is not intended to limit the present invention.
Fig. 1 is the flow chart according to the General Implementing example of the flow statistical method under the cloud computing environment of the present invention.In Fig. 1:
Step S100: virtual machine and traffic statistics module are carried out logic binding.Wherein, logic binding is with respect to physical bindings, and the data traffic that refers to virtual machine forms the data connection, so that the data traffic in the virtual machine can be sent to the traffic statistics module, thereby forms a kind of bypass observation.
Step S102: by the data traffic of traffic statistics module statistics virtual machine.
Preferably, virtual machine can be in the Same Physical machine from the traffic statistics module or be in the different physical machine.Data traffic comprises the flow of the flow that is sent to the data in the virtual machine and/or the data that send from virtual machine.
In addition, preferably, this result can be shown to external user after the result that the traffic statistics module will count.
Specifically, at traditional net environment, usually flow management apparatus and Devices to test are carried out physical bindings, be about to the data discrepancy end that flow management apparatus directly is connected on Devices to test, can directly obtain to pass in and out the flow of data.And under cloud computing environment, because virtual machine often exists with the form of virtual module, therefore can't obtain its flow by " physical bindings ", thereby so that traffic statistics are not accurate enough.
Thus, present embodiment is added up by the flow to virtual machine, can count exactly the network traffic data under the cloud computing environment.
Wherein, the described method of present embodiment can realize by the mode that the associate management module is set in virtual machine, specifically can realize by following preferred embodiment.
Fig. 2 is the flow chart according to the specific embodiment of the flow statistical method under the cloud computing environment of the present invention.In Fig. 2:
Step S200: the associate management module in the virtual machine and traffic statistics module are carried out logic binding.Preferably, the associate management module is carried out logic binding by the IP address that obtains the traffic statistics module with virtual machine and traffic statistics module.
Specifically, in the present embodiment, the associate management module can be set in virtual machine, the major function of this module has two aspects: first, come to carry out logic binding with this traffic statistics module by the IP address that obtains the traffic statistics module, thereby virtual machine and traffic statistics module are carried out logic binding; The second, the real data flow of virtual machine is sent to the traffic statistics module.
Step S202: the associate management module is sent to the traffic statistics module with the data traffic of virtual machine.Like this, traffic statistics module just can be added up and record the data traffic of virtual machine by the associate management module.
Step S204: the result that the traffic statistics module will count is shown to the user.
Preferably, virtual machine is in Same Physical machine or the different physical machine from the traffic statistics module.
Preferably, virtual machine can comprise many virtual machines, and every virtual machine all comprises the associate management module that it is corresponding, and many virtual machines are by its each self-corresponding associate management module and same flow statistical module logic binding.For example, can carry out unified management to many virtual machines by a shared traffic statistics module, and every virtual machine all includes the associate management module, can carry out unified management to the flow of every virtual machine by associate management module separately.
Preferably, the associate management module is the module in the virtual machine.Data traffic comprises the flow of the flow that is sent to the data in the virtual machine and/or the data that send from virtual machine.
In the present embodiment, by the associate management module virtual machine and traffic statistics module are associated, thereby can search and bind the flow statistical module by this associate management module, not only added up exactly flow, can also so that the binding that virtual machine and traffic statistics module form can move along with the migration of virtual machine, thereby at any time the flow of virtual machine is added up.
Fig. 3 is the schematic diagram according to the example of the flow statistical method under the cloud computing environment of the present invention.
In this example, after creating virtual machine, in the Same Physical machine, create simultaneously virtual flow auditing system (being the traffic statistics modules).Virtual flow design system and virtual machine are carried out logic binding.The data traffic of virtual machine is all pointed to virtual flow auditing system, form virtual data connection approach, the assurance data are all passed through virtual flow auditing system.Like this, virtual machine network auditing system system just can carry out discharge record to virtual machine.
The present invention uses virtual auditing system technology, can be deep into virtual machine inside, simultaneously, can together move along with the migration of virtual machine, guarantees at any time the virtual machine flow to be audited.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. the flow statistical method under the cloud computing environment is characterized in that, comprising:
Step S1: virtual machine and traffic statistics module are carried out logic binding; And
Step S2: the data traffic of adding up described virtual machine by described traffic statistics module.
2. the flow statistical method under the cloud computing environment according to claim 1 is characterized in that, comprising: described step S1 comprises: the associate management module in the described virtual machine and described traffic statistics module are carried out logic binding.
3. the flow statistical method under the cloud computing environment according to claim 2, it is characterized in that, comprising: described step S1 comprises: described associate management module is carried out logic binding by the IP address that obtains described traffic statistics module with described virtual machine and described traffic statistics module.
4. the flow statistical method under the cloud computing environment according to claim 3 is characterized in that, comprising: described step S2 comprises: described associate management module is sent to described traffic statistics module with the data traffic of described virtual machine.
5. the flow statistical method under the cloud computing environment according to claim 1 is characterized in that, described virtual machine and described traffic statistics module are in the Same Physical machine.
6. the flow statistical method under the cloud computing environment according to claim 1 is characterized in that, described virtual machine is in the different physical machine from described traffic statistics module.
7. the flow statistical method under the cloud computing environment according to claim 1, it is characterized in that, described virtual machine comprises many virtual machines, every described virtual machine all comprises the associate management module that it is corresponding, and many described virtual machines are by its each self-corresponding associate management module and same flow statistical module logic binding.
8. the flow statistical method according to claim 2-4 under each described cloud computing environment is characterized in that, described associate management module is the module in the described virtual machine.
9. the flow statistical method under the cloud computing environment according to claim 1 is characterized in that, described data traffic comprises the flow of the flow that is sent to the data in the described virtual machine and/or the data that send from described virtual machine.
10. the flow statistical method under the cloud computing environment according to claim 1 is characterized in that, described method also comprises:
Step S3: the result that described traffic statistics module will count is shown to the user.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104243231A (en) * | 2014-06-30 | 2014-12-24 | 华为技术有限公司 | Estimation method and related equipment for rate of flow among virtual machine pairs |
| CN104796305A (en) * | 2015-05-07 | 2015-07-22 | 浪潮电子信息产业股份有限公司 | Safety audit method and device |
| CN105681125A (en) * | 2015-12-28 | 2016-06-15 | 国云科技股份有限公司 | Method for counting traffic of virtual machine extranet of cloud platform |
| US10291648B2 (en) | 2015-12-22 | 2019-05-14 | At&T Intellectual Property I, L.P. | System for distributing virtual entity behavior profiling in cloud deployments |
| US10333814B2 (en) | 2014-06-30 | 2019-06-25 | Huawei Technologies Co., Ltd. | Method for estimating traffic rate between virtual machine pair, and related device |
| CN113347036A (en) * | 2021-06-04 | 2021-09-03 | 上海天旦网络科技发展有限公司 | Method and system for realizing cloud environment bypass monitoring by utilizing public cloud storage |
| CN114070757A (en) * | 2021-11-15 | 2022-02-18 | 南方电网数字电网研究院有限公司 | Data traffic change monitoring method for cloud computing management control platform |
| CN114422404A (en) * | 2022-01-18 | 2022-04-29 | 北京百度网讯科技有限公司 | Flow statistical method, device, equipment and storage medium |
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US10333814B2 (en) | 2014-06-30 | 2019-06-25 | Huawei Technologies Co., Ltd. | Method for estimating traffic rate between virtual machine pair, and related device |
| WO2016000430A1 (en) * | 2014-06-30 | 2016-01-07 | 华为技术有限公司 | Method and related device for estimating traffic rate between virtual machine pairs |
| CN104243231A (en) * | 2014-06-30 | 2014-12-24 | 华为技术有限公司 | Estimation method and related equipment for rate of flow among virtual machine pairs |
| CN104243231B (en) * | 2014-06-30 | 2018-01-23 | 华为技术有限公司 | The evaluation method and relevant device of flow rate between virtual machine pair |
| US10819610B2 (en) | 2014-06-30 | 2020-10-27 | Huawei Technologies Co., Ltd. | Method for estimating traffic rate between virtual machine pair, and related device |
| CN104796305A (en) * | 2015-05-07 | 2015-07-22 | 浪潮电子信息产业股份有限公司 | Safety audit method and device |
| US11057423B2 (en) | 2015-12-22 | 2021-07-06 | At&T Intellectual Property I, L.P. | System for distributing virtual entity behavior profiling in cloud deployments |
| US10291648B2 (en) | 2015-12-22 | 2019-05-14 | At&T Intellectual Property I, L.P. | System for distributing virtual entity behavior profiling in cloud deployments |
| CN105681125B (en) * | 2015-12-28 | 2019-08-13 | 国云科技股份有限公司 | A kind of virtual machine outer net flow statistical method of cloud platform |
| CN105681125A (en) * | 2015-12-28 | 2016-06-15 | 国云科技股份有限公司 | Method for counting traffic of virtual machine extranet of cloud platform |
| CN113347036A (en) * | 2021-06-04 | 2021-09-03 | 上海天旦网络科技发展有限公司 | Method and system for realizing cloud environment bypass monitoring by utilizing public cloud storage |
| CN114070757A (en) * | 2021-11-15 | 2022-02-18 | 南方电网数字电网研究院有限公司 | Data traffic change monitoring method for cloud computing management control platform |
| CN114070757B (en) * | 2021-11-15 | 2023-08-08 | 南方电网数字电网研究院有限公司 | Data flow change monitoring method for cloud computing management control platform |
| CN114422404A (en) * | 2022-01-18 | 2022-04-29 | 北京百度网讯科技有限公司 | Flow statistical method, device, equipment and storage medium |
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Application publication date: 20130410 |