CN112436955B - Data distributed acquisition method and device for complex network - Google Patents
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- H—ELECTRICITY
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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- H04L41/042—Network management architectures or arrangements comprising distributed management centres cooperatively managing the network
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/04—Network management architectures or arrangements
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- H04L41/08—Configuration management of networks or network elements
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- H04L41/0813—Configuration setting characterised by the conditions triggering a change of settings
- H04L41/0816—Configuration setting characterised by the conditions triggering a change of settings the condition being an adaptation, e.g. in response to network events
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The invention discloses a data distributed acquisition method and a data distributed acquisition device for a complex network, wherein the method comprises the following steps: traversing all collectors and all switches in the complex network to obtain a link topology structure of each collector and each switch in the complex network; dividing all collectors and all switches in the complex network into a plurality of network levels based on a link topology structure; determining a second collector closest to the first collector in a network level where the first collector is located to execute a collection task of the first collector; a second switch closest to a first switch is determined in a network layer level where the first switch connected to a first collector is located. The invention can keep sensitivity to the network topology structure, and adaptively adjust the distribution of the acquisition task according to the network topology structure and the data input and output requirements.
Description
Technical Field
The present invention relates to the field of data acquisition, and more particularly, to a distributed data acquisition method and apparatus for a complex network.
Background
The current collector of the complex network has two functions: firstly, acquiring out-of-band in-band information of infrastructure and reporting the out-of-band in-band information to a complex network; and the other is used as a load balancer. If there are several collectors in the current network, these collectors will share the devices. If the service of the collector is abnormal, the complex network can automatically bind the resources bound on the collector to other collectors.
In the prior art, the resources are bound randomly or by a collector with lower load. For a complex network, the collector is IO (input/output) intensive rather than computation intensive, so the requirement on the system load is less than that on IO. The problem of the prior art is that the method is insensitive to the network environment, and the network levels of other collectors cannot be sensed among the collectors, so that the distribution of the collection tasks cannot be adjusted according to the network topology.
Aiming at the problem that the collector in the prior art cannot adjust the distribution of the collection tasks according to the network topology, no effective solution is available at present.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a data distributed acquisition method and apparatus for a complex network, which can keep sensitivity to a network topology, and adaptively adjust allocation of acquisition tasks according to the network topology and data input/output requirements.
Based on the above object, a first aspect of the embodiments of the present invention provides a data distributed acquisition method for a complex network, including the following steps:
traversing all collectors and all exchangers in the complex network to obtain a link topology structure of each collector and each exchanger in the complex network;
dividing all collectors and all switches in the complex network into a plurality of network levels based on a link topology structure;
in response to determining that the first collector is offline, determining a second collector closest to the first collector in a network hierarchy where the first collector is located to execute a collection task of the first collector;
and in response to the second collector being not determined, determining a second switch closest to the first switch in the network level of the first switch connected to the first collector, and determining a third collector which is connected to the second switch and closest to the second switch to execute the collection task of the first collector.
In some embodiments, each collector is connected to multiple infrastructures; the collection task is performed to collect and export in-band and out-of-band data information from the infrastructure, including servers, storage devices, network devices, and firewalls, to a network level above.
In some embodiments, obtaining the link topology of each collector and each switch in the complex network comprises: and acquiring each link and physical transmission speed of each collector and each switch in the complex network.
In some embodiments, determining a second collector that is closest to the first collector comprises: and in response to the simultaneous existence of a plurality of collectors closest to the first collector, selecting the collector of the link with the maximum physical transmission speed to the first collector as the second collector.
In some embodiments, determining a second switch closest to the first switch comprises: selecting a switch of a link with the maximum physical transmission speed to the first switch as a second switch in response to simultaneous existence of a plurality of switches closest to the first switch;
determining a third collector connected to and closest to the second switch comprises: and in response to the simultaneous existence of a plurality of collectors closest to the second switch, selecting the collector of the link with the maximum physical transmission speed to the second switch as a third collector.
In some embodiments, determining that the first collector is offline comprises:
Continuously monitoring a heartbeat signal of the first collector, and detecting the connectivity of the first collector in response to the stop of the heartbeat signal of the first collector;
determining that the first collector is offline in response to detecting that the number of disconnections of the first collector reaches a predetermined threshold.
In some embodiments, the method further comprises: and in response to the failure to determine the third collector, re-determining a second switch in the network level where the first switch connected to the first collector is located, and determining a third collector which is connected to the second switch and is closest to the second switch to execute the collection task of the first collector.
A second aspect of an embodiment of the present invention provides a data distributed acquisition apparatus for a complex network, including:
a processor; and
a memory storing program code executable by the processor, the program code when executed performing the steps of:
traversing all collectors and all switches in the complex network to obtain a link topology structure of each collector and each switch in the complex network;
dividing all collectors and all switches in the complex network into a plurality of network levels based on a link topology structure;
In response to determining that the first collector is offline, determining a second collector closest to the first collector in a network hierarchy where the first collector is located to execute a collection task of the first collector;
and in response to the second collector being not determined, determining a second switch closest to the first switch in the network level of the first switch connected to the first collector, and determining a third collector which is connected to the second switch and closest to the second switch to execute the collection task of the first collector.
In some embodiments, each collector is connected to a plurality of infrastructures; the collection task is performed to collect and export in-band and out-of-band data information from the infrastructure, including servers, storage devices, network devices, and firewalls, to a network level above.
In some embodiments, obtaining the link topology of each collector and each switch in the complex network comprises: and acquiring each link and physical transmission speed of each collector and each switch in the complex network.
The invention has the following beneficial technical effects: according to the data distributed acquisition method and device for the complex network, provided by the embodiment of the invention, all the collectors and all the switches in the complex network are traversed to obtain the link topology structures of each collector and each switch in the complex network; dividing all collectors and all switches in the complex network into a plurality of network levels based on a link topology structure; in response to determining that the first collector is offline, determining a second collector closest to the first collector in a network hierarchy where the first collector is located to execute a collection task of the first collector; the technical scheme that a second switch closest to a first switch is determined in a network level where the first switch connected to the first collector is located in response to failure of determining the second collector, and a third collector connected to the second switch and closest to the second switch is determined to execute the collection task of the first collector can keep sensitivity to a network topology structure, and the distribution of the collection task is adaptively adjusted according to the network topology structure and the data input and output requirements.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a data distributed acquisition method for a complex network according to the present invention;
fig. 2 is a schematic diagram of a multi-layer network structure of a data distributed acquisition method for a complex network according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following embodiments of the present invention are described in further detail with reference to the accompanying drawings.
It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are used for distinguishing two entities with the same name but different names or different parameters, and it should be noted that "first" and "second" are merely for convenience of description and should not be construed as limitations of the embodiments of the present invention, and they are not described in any more detail in the following embodiments.
In view of the above, a first aspect of the embodiments of the present invention provides an embodiment of a data distributed collection method that is sensitive to network topology. Fig. 1 is a schematic flow chart of a data distributed acquisition method for a complex network provided by the present invention.
The data distributed acquisition method of the complex network, as shown in fig. 1, includes the following steps:
step S101, traversing all collectors and all switches in the complex network to obtain a link topology structure of each collector and each switch in the complex network;
step S103, dividing all collectors and all exchangers in the complex network into a plurality of network levels based on a link topology structure;
step S105, in response to determining that the first collector is offline, determining a second collector closest to the first collector in a network level where the first collector is located to execute a collection task of the first collector;
and step S107, in response to the second collector being not determined, determining a second collector closest to the first exchanger in the network layer level where the first exchanger connected to the first collector is located, and determining a third collector connected to the second exchanger and closest to the second exchanger to execute the collection task of the first collector.
According to the invention, the network positions of other collectors can be found among the collectors through the configuration files, so that the collector closest to the monitored node network is found to bind the resources to the new collector.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a Random Access Memory (RAM). Embodiments of the computer program may achieve the same or similar effects as any of the preceding method embodiments to which it corresponds.
In some embodiments, each collector is connected to multiple infrastructures; the collection task is performed to collect and export in-band and out-of-band data information from the infrastructure, including servers, storage devices, network devices, and firewalls, to a network level above.
In some embodiments, obtaining the link topology of each collector and each switch in the complex network comprises: and acquiring each link and physical transmission speed of each collector and each switch in the complex network.
In some embodiments, determining a second collector that is closest to the first collector comprises: and in response to the simultaneous existence of a plurality of collectors closest to the first collector, selecting the collector of the link with the maximum physical transmission speed to the first collector as the second collector.
In some embodiments, determining a second switch closest to the first switch comprises: selecting a switch of a link having the maximum physical transmission speed to the first switch as a second switch in response to simultaneous existence of a plurality of switches closest to the first switch;
determining a third collector connected to and closest to the second switch comprises: and in response to the simultaneous existence of a plurality of collectors closest to the second switch, selecting the collector of the link with the maximum physical transmission speed to the second switch as a third collector.
In some embodiments, determining that the first collector is offline comprises:
continuously monitoring a heartbeat signal of the first collector, and detecting the connectivity of the first collector in response to the stop of the heartbeat signal of the first collector;
determining that the first collector is offline in response to detecting that the number of disconnections of the first collector reaches a predetermined threshold.
In some embodiments, the method further comprises: and in response to the failure to determine the third collector, re-determining a second switch in the network level where the first switch connected to the first collector is located, and determining a third collector which is connected to the second switch and is closest to the second switch to execute the collection task of the first collector.
The following further illustrates embodiments of the invention in terms of specific examples.
Firstly, traversing all collectors and all switches in the complex network to generate configuration files, and generating and storing a tree topology structure according to the configuration files, wherein the network hierarchy structure can be as shown in fig. 2: tux0-15 is a collector, s0-3 is a switch at the upper layer, and s4-7 is a switch at the higher layer.
The embodiment of the invention monitors the heartbeat of the collector in real time, and triggers the ping task when the heartbeat stops. When ping is not connected for three times, the collector is considered to be offline, and the resources bound to the offline collector are released. Tux8 offline, for example, embodiments of the present invention traverse to find the collector closest to tux 8. Consider first the other collectors tux9-11 at the same network level, and if tux10, 11 are available, pick tux10 that is tux8 closer to perform tux8 the collection task and allocate resources. If tux10-12 is not available, then a sibling collector is determined: the network layer of switch s2 first looks for a nearest switch, e.g., s3, at tux8, and then determines a nearest collector, e.g., tux15, among collectors tux12-15 at s3, performs tux8 collection tasks and allocates resources.
In addition, if a plurality of links which are as close as each other exist at the same time when comparing distances, the link with the maximum transmission speed can be selected to increase the transmission speed. The collector is IO intensive rather than calculation intensive, so the requirement on the system load is less than the requirement on IO, and the requirement on the transmission speed should be met preferentially.
It can be seen from the foregoing embodiments that, in the data distributed acquisition method for a complex network provided in the embodiments of the present invention, a link topology structure of each acquisition unit and each switch in the complex network is obtained by traversing all the acquisition units and all the switches in the complex network; dividing all collectors and all switches in the complex network into a plurality of network levels based on a link topology structure; in response to determining that the first collector is offline, determining a second collector closest to the first collector in a network hierarchy where the first collector is located to execute a collection task of the first collector; the technical scheme that a second switch closest to a first switch is determined in a network level where the first switch connected to the first collector is located in response to failure of determining the second collector, and a third collector connected to the second switch and closest to the second switch is determined to execute the collection task of the first collector can keep sensitivity to a network topology structure, and the distribution of the collection task is adaptively adjusted according to the network topology structure and the data input and output requirements.
It should be particularly noted that, the steps in the embodiments of the data distributed acquisition method for a complex network described above may be mutually intersected, replaced, added, and deleted, and therefore, the data distributed acquisition method for a complex network that is transformed by these reasonable permutations and combinations shall also belong to the scope of the present invention, and shall not limit the scope of the present invention to the described embodiments.
In view of the above, a second aspect of the embodiments of the present invention provides an embodiment of a data distributed acquisition apparatus that is sensitive to network topology. The data distributed acquisition device of the complex network comprises:
a processor; and
a memory storing program code executable by the processor, the program code when executed performing the steps of:
traversing all collectors and all switches in the complex network to obtain a link topology structure of each collector and each switch in the complex network;
dividing all collectors and all switches in the complex network into a plurality of network levels based on a link topology structure;
in response to determining that the first collector is offline, determining a second collector closest to the first collector in a network hierarchy where the first collector is located to execute a collection task of the first collector;
And in response to the second collector being not determined, determining a second switch closest to the first switch in the network level of the first switch connected to the first collector, and determining a third collector which is connected to the second switch and closest to the second switch to execute the collection task of the first collector.
In some embodiments, each collector is connected to multiple infrastructures; the collection task is performed to collect and export in-band and out-of-band data information from the infrastructure, including servers, storage devices, network devices, and firewalls, to a network level above.
In some embodiments, obtaining the link topology of each collector and each switch in the complex network comprises: and acquiring each link and physical transmission speed of each collector and each switch in the complex network.
It can be seen from the foregoing embodiments that, in the data distributed acquisition apparatus for a complex network provided in the embodiments of the present invention, a link topology structure of each acquisition unit and each switch in the complex network is obtained by traversing all the acquisition units and all the switches in the complex network; dividing all collectors and all switches in the complex network into a plurality of network levels based on a link topology structure; in response to determining that the first collector is offline, determining a second collector closest to the first collector in a network hierarchy where the first collector is located to execute a collection task of the first collector; the technical scheme that a second switch closest to a first switch is determined in a network level where the first switch connected to the first collector is located in response to failure of determining the second collector, and a third collector connected to the second switch and closest to the second switch is determined to execute the collection task of the first collector can keep sensitivity to a network topology structure, and the distribution of the collection task is adaptively adjusted according to the network topology structure and the data input and output requirements.
It should be particularly noted that, the embodiment of the data distributed acquisition apparatus for a complex network described above employs the embodiment of the data distributed acquisition method for a complex network to specifically describe the working process of each module, and those skilled in the art can easily think that these modules are applied to other embodiments of the data distributed acquisition method for a complex network. Of course, since the steps in the embodiment of the data distributed acquisition method for the complex network may be intersected, replaced, added, or deleted, the data distributed acquisition apparatus for the complex network, which is transformed by reasonable permutation and combination, shall also belong to the protection scope of the present invention, and shall not limit the protection scope of the present invention to the embodiment.
The foregoing is an exemplary embodiment of the present disclosure, but it should be noted that various changes and modifications could be made herein without departing from the scope of the present disclosure as defined by the appended claims. The functions, steps and/or actions of the method claims in accordance with the disclosed embodiments described herein need not be performed in any particular order. Furthermore, although elements of the disclosed embodiments of the invention may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, of embodiments of the invention is limited to these examples; within the idea of an embodiment of the invention, also technical features in the above embodiment or in different embodiments may be combined and there are many other variations of the different aspects of an embodiment of the invention as described above, which are not provided in detail for the sake of brevity. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of the embodiments of the present invention are intended to be included within the scope of the embodiments of the present invention.
Claims (10)
1. A data distributed acquisition method of a complex network is characterized by comprising the following steps:
traversing all collectors and all switches in the complex network to obtain a link topology structure of each collector and each switch in the complex network;
dividing all the collectors and all the switches in the complex network into a plurality of network levels based on the link topology;
in response to determining that a first collector is offline, determining a second collector closest to the first collector in a network hierarchy where the first collector is located to execute a collection task of the first collector;
And in response to the second collector being not determined, determining a second switch closest to a first switch connected to the first collector in a network hierarchy in which the first switch is located, and determining a third collector connected to the second switch and closest to the second switch to execute the collection task of the first collector.
2. The method of claim 1, wherein each of the collectors is connected to a plurality of infrastructures; performing the collection task collects and exports in-band and out-of-band data information to a network level from the infrastructure, wherein the infrastructure comprises a server, a storage device, a network device, and a firewall.
3. The method of claim 1, wherein obtaining the link topology of each collector and each switch in the complex network comprises: and acquiring each link and physical transmission speed of each collector and each switch in the complex network.
4. The method of claim 3, wherein determining a second collector that is closest to the first collector comprises:
And in response to the simultaneous existence of a plurality of collectors closest to the first collector, selecting the collector of the link with the maximum physical transmission speed to the first collector as the second collector.
5. The method of claim 3, wherein determining a second switch that is closest to the first switch comprises: selecting a switch of a link having a maximum physical transmission speed to the first switch as the second switch in response to simultaneous existence of a plurality of switches closest to the first switch;
determining a third collector connected to and closest to the second switch comprises: and in response to the simultaneous existence of a plurality of collectors closest to the second switch, selecting the collector of the link with the maximum physical transmission speed to the second switch as the third collector.
6. The method of claim 1, wherein determining that the first collector is offline comprises:
continuously monitoring a heartbeat signal of the first collector, and detecting connectivity of the first collector in response to the heartbeat signal of the first collector stopping;
Determining that the first collector is offline in response to detecting that the number of disconnections of the first collector reaches a predetermined threshold.
7. The method of claim 1, further comprising:
and in response to failing to determine the third collector, re-determining a second switch in the network hierarchy where the first switch connected to the first collector is located, and determining a third collector which is connected to the second switch and is closest to the second switch to execute the collection task of the first collector.
8. A distributed data acquisition device for a complex network, comprising:
a processor; and
a memory storing program code executable by the processor, the program code when executed performing the steps of:
traversing all collectors and all switches in the complex network to obtain a link topology structure of each collector and each switch in the complex network;
dividing all the collectors and all the switches in the complex network into a plurality of network levels based on the link topology;
in response to determining that a first collector is offline, determining a second collector closest to the first collector in a network hierarchy where the first collector is located to execute a collection task of the first collector;
And in response to the second collector being not determined, determining a second switch closest to a first switch connected to the first collector in a network hierarchy in which the first switch is located, and determining a third collector connected to the second switch and closest to the second switch to execute the collection task of the first collector.
9. The apparatus of claim 8, wherein each of the collectors is connected to a plurality of infrastructures; performing the collection task collects and outputs in-band and out-of-band data information to an upper network level from the infrastructure, wherein the infrastructure includes servers, storage devices, network devices, and firewalls.
10. The apparatus of claim 8, wherein obtaining the link topology of each collector and each switch in the complex network comprises: and acquiring each link and physical transmission speed of each collector and each switch in the complex network.
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| CN104320653A (en) * | 2014-10-22 | 2015-01-28 | 中国电信集团工会上海市网络操作维护中心委员会 | Intelligent all-service fault diagnosing system |
| CN105681227A (en) * | 2016-01-14 | 2016-06-15 | 浪潮集团有限公司 | Visual switch based on fingerprint identification login |
| CN110266563A (en) * | 2019-07-01 | 2019-09-20 | 上海外高桥造船有限公司 | The test method of intelligent ship Network integrated platform |
| CN211046951U (en) * | 2019-12-26 | 2020-07-17 | 中移物联网有限公司 | Signal transmission system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104320653A (en) * | 2014-10-22 | 2015-01-28 | 中国电信集团工会上海市网络操作维护中心委员会 | Intelligent all-service fault diagnosing system |
| CN105681227A (en) * | 2016-01-14 | 2016-06-15 | 浪潮集团有限公司 | Visual switch based on fingerprint identification login |
| CN110266563A (en) * | 2019-07-01 | 2019-09-20 | 上海外高桥造船有限公司 | The test method of intelligent ship Network integrated platform |
| CN211046951U (en) * | 2019-12-26 | 2020-07-17 | 中移物联网有限公司 | Signal transmission system |
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