CN112039721B - Method and system for monitoring flow of elastic public network IP under public cloud platform - Google Patents
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Abstract
The invention discloses a method and a system for monitoring the flow of an elastic public network IP under a public cloud platform, wherein the method for monitoring the flow of the elastic public network IP under the public cloud platform comprises the following steps: s1, the monitoring overall planning service informs the obtaining equipment of the flow service to obtain the real-time flow from the router equipment in a timing period; s2, the flow service of the acquisition equipment carries out flow statistics on the acquired real-time flow to obtain a real-time acquired flow value; s3, monitoring the traffic information obtained by the overall planning service callback, and obtaining a returned traffic value from the equipment traffic service; s4, judging whether the router equipment is restarted or not according to the flow value, and acquiring a final flow value by adopting a pre-configured algorithm; and S5, the monitoring and overall planning service counts the final flow values of all the devices, calculates the average rate of each timing period, and reports the average rate after integration. Has the advantages that: the flow monitoring is more accurate and is not influenced by the fault restart of the bottom layer equipment.
Description
Technical Field
The invention relates to the field of elastic public network IP flow monitoring, in particular to a method and a system for monitoring the flow of an elastic public network IP under a public cloud platform.
Background
An Elastic public network IP (Elastic IP Address, abbreviated as IP) is a public network IP that can be purchased and held independently. EIP is the bridge of UNICOM intranet and extranet, will produce the flow naturally, and at present, statistics flow is carried out statistics on export router, and the flow of statistics is a process that adds up, and if the router breaks down and leads to restarting, statistics flow will begin to make statistics from zero to lead to not obtaining accurate flow accumulated value, consequently, this patent provides a scheme, can solve the inaccurate problem of flow control that the router restarts and brings.
An effective solution to the problems in the related art has not been proposed yet.
Disclosure of Invention
Aiming at the problems in the related art, the invention provides a method and a system for monitoring the flow of an elastic public network IP under a public cloud platform, aiming at enabling the flow monitoring to be more accurate and not influenced by the fault restart of bottom equipment so as to overcome the technical problems in the prior related art.
Therefore, the invention adopts the following specific technical scheme:
according to an aspect of the present invention, a method for monitoring traffic of an elastic public network IP under a public cloud platform is provided, where the method for monitoring traffic of the elastic public network IP under the public cloud platform includes the following steps:
s1, the monitoring overall planning service informs the obtaining equipment of the flow service to obtain the real-time flow from the router equipment in a timing period;
s2, the flow service of the acquisition equipment carries out flow statistics on the acquired real-time flow to obtain a real-time acquired flow value;
s3, monitoring the traffic information obtained by the overall planning service callback, and obtaining a returned traffic value from the equipment traffic service;
s4, judging whether the router equipment is restarted or not according to the flow value, and acquiring a final flow value by adopting a pre-configured algorithm;
and S5, the monitoring and overall planning service counts the final flow values of all the devices, calculates the average rate of each timing period, and reports the average rate after integration.
Further, before notifying the obtaining device of the traffic service timing cycle to obtain the real-time traffic from the router device, the monitoring orchestration service further includes the following steps:
and optimizing a product monitoring flow record table.
Further, optimizing the product monitoring flow record table further comprises the following steps:
adding three fields in a product monitoring flow record table;
and recording the flow of the enterprise information platform in the current time and the last time in and out direction.
Further, the three fields include: a field one, a field two and a field three;
wherein, the field one is a real-time acquired flow value real _ time _ flow;
the second field is a total flow value reboot _ init _ flow obtained before the second field is repeated;
and the third field is whether to restart the is _ reboot.
Further, the preconfigured algorithm comprises the steps of:
s41, taking the single equipment flow value returned by the acquired equipment flow service as a new flow value, and storing the new flow value in the field I;
s42, storing the field current _ flow in the product monitoring flow record table into the field previous _ flow;
s43, judging whether the acquired new flow value is larger than the flow value of the field I in the product monitoring flow record table;
s44, if the acquired new flow value is larger than the flow value of the field one, inquiring whether the field three in the product monitoring flow record table is 1;
and S45, if the field three in the product monitoring flow record table is 1, storing the sum of the flow value of the field two and the new flow value into the field current _ flow.
Further, the preconfigured algorithm further comprises the steps of:
s41', using the single device flow value returned by the acquired device flow service as a new flow value and storing the new flow value in the field I;
s42', storing the field current _ flow in the product monitoring flow record table into the field previous _ flow;
s43', judging whether the obtained new flow value is larger than the flow value of the field I in the product monitoring flow record table;
s44', if the obtained new flow value is less than or equal to the flow value of the first field in the product monitoring flow record table, setting the third field to 1, storing the current _ flow in the second field, and storing the sum of the current _ flow and the new flow value in the current _ flow.
Further, the preconfigured algorithm further comprises the steps of:
s41', taking the single device flow value returned by the acquired device flow service as a new flow value, and storing the new flow value in the field I;
s42', storing the field current _ flow in the product monitoring flow record table into the field previous _ flow;
s43', judging whether the obtained new flow value is larger than the flow value of the field I in the product monitoring flow record table;
s44', if the new flow value is larger than the flow value of the field one, inquiring whether the field three in the product monitoring flow record table is 1;
and S45', if the field three in the product monitoring flow record table is 0, storing the new flow value into the field current _ flow.
According to another aspect of the present invention, there is provided a system for monitoring traffic of an elastic public network IP under a public cloud platform, the system for monitoring traffic of an elastic public network IP under a public cloud platform comprising:
the real-time flow acquisition module is used for informing the acquisition equipment of flow service to acquire real-time flow from the router equipment in a timing period by the monitoring overall planning service;
the real-time flow counting module is used for acquiring the flow counting of the equipment flow service on the acquired real-time flow to obtain a real-time acquired flow value;
the flow information callback module monitors the flow information acquired by the overall planning service callback and acquires a returned flow value from the acquired equipment flow service;
the restart judging module is used for judging whether the router equipment is restarted or not according to the flow value and acquiring a final flow value by adopting a pre-configured algorithm;
and the optimized reporting module is used for monitoring the overall planning service to count the final flow values of all the devices, calculating the average rate of each timing period and reporting the integrated flow values.
Further, before notifying the obtaining device of the traffic service timing cycle to obtain the real-time traffic from the router device, the monitoring orchestration service further includes the following steps:
and optimizing a product monitoring flow record table.
Further, the preconfigured algorithm comprises the steps of:
taking a single equipment flow value returned by the acquired equipment flow service as a new flow value, and storing the new flow value in the field I;
storing the field current _ flow in the product monitoring flow record table into the field previous _ flow;
judging whether the obtained new flow value is larger than the flow value of a field one in a product monitoring flow record table or not;
if the acquired new flow value is larger than the flow value of the field one, inquiring whether a field three in a product monitoring flow record table is 1;
and if the field three in the product monitoring flow record table is 1, storing the sum of the flow value of the field two and the new flow value into the field current _ flow.
The invention has the beneficial effects that:
compared with the traditional IP flow monitoring scheme of the elastic public network, the method can monitor the acquired total flow information value, on one hand, the method can not be influenced by the restarting of the bottom layer router equipment, on the other hand, the method can not be influenced by the negative effect caused by the restarting of the router, and further the flow monitoring is more accurate.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a flowchart of an algorithm in a method for monitoring traffic of an elastic public network IP under a public cloud platform according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for monitoring traffic of an elastic public network IP under a public cloud platform according to an embodiment of the present invention;
fig. 3 is a system diagram of a system for monitoring traffic of an elastic public network IP under a public cloud platform according to an embodiment of the present invention.
In the figure:
1. a real-time traffic acquisition module; 2. a real-time flow statistic module; 3. a flow information callback module; 4. restarting the judging module; 5. and optimizing and reporting the module.
Detailed Description
For further explanation of the various embodiments, the drawings which form a part of the disclosure and which are incorporated in and constitute a part of this specification, illustrate embodiments and, together with the description, serve to explain the principles of operation of the embodiments, and to enable others of ordinary skill in the art to understand the various embodiments and advantages of the invention, and, by reference to these figures, reference is made to the accompanying drawings, which are not to scale and wherein like reference numerals generally refer to like elements.
According to the embodiment of the invention, a method and a system for monitoring the flow of the elastic public network IP under a public cloud platform are provided.
As shown in fig. 1 to 3, according to an aspect of the present invention, a method for monitoring traffic of an elastic public network IP under a public cloud platform is provided, where the method for monitoring traffic of the elastic public network IP under the public cloud platform includes the following steps:
step S1, monitoring the overall planning service (i.e. Monitor is responsible for triggering to obtain the query traffic of the equipment traffic service and pushing the query traffic to the platform) to notify the obtaining equipment traffic service (i.e. the service for obtaining the traffic from the routing equipment by the Agent) to obtain the real-time traffic from the router equipment in a timing period;
step S2, the obtaining equipment flow service carries out flow statistics on the obtained real-time flow to obtain a real-time obtained flow value;
step S3, monitoring the traffic information obtained by the overall planning service callback, and obtaining the returned traffic value from the equipment traffic service;
step S4, judging whether the router equipment is restarted or not according to the flow value, and acquiring a final flow value by adopting a pre-configured algorithm;
and step S5, the monitoring and overall planning service counts the final flow values of all the devices, calculates the average rate of each timing period, and reports the average rate after integration.
In one example, before notifying the obtaining device of the traffic service timing cycle to obtain the real-time traffic from the router device, the monitoring orchestration service further comprises the following steps:
and optimizing a product monitoring flow recording table (the product monitoring flow recording table is shown in table 1).
Table 1 product monitoring flow recording meter
In one example, optimizing the product monitoring flow record table further comprises the steps of:
adding three fields in a product monitoring flow record table;
and recording the flow of the enterprise information platform in the current time and the last time in and out direction.
In one example, the three fields include: a field one, a field two and a field three;
wherein, the field one is a real-time acquired flow value real _ time _ flow (representing the flow value acquired from the device in real time);
the second field is a total flow value reboot _ init _ flow obtained before restarting (which represents the total flow obtained before rebot and by the current equipment and is used as an accumulation base number after restarting);
the third field is whether the is _ reboot is restarted (numeral 1 indicates that the reboot has been performed, and numeral 0 indicates that the reboot has not been performed).
In one example, the preconfigured algorithm comprises the steps of:
step S41, a single device flow value returned by the device flow service is obtained and is used as a new flow value and stored in the field I;
step S42, storing the field current _ flow (central flow) in the product monitoring flow record table into the field previous _ flow (former flow);
step S43, judging whether the acquired new flow value is larger than the flow value of the field I in the product monitoring flow record table;
step S44, if the acquired new flow value is larger than the flow value of the field one, inquiring whether the field three in the product monitoring flow record table is 1;
and step S45, if the field three in the product monitoring flow record table is 1, storing the sum of the flow value of the field two and the new flow value into the field current _ flow.
In one example, the preconfigured algorithm further comprises the steps of:
step S41', a single device flow value returned by the acquired device flow service is taken as a new flow value and stored in the field I;
step S42', storing the field current _ flow in the product monitoring flow record table into the field previous _ flow;
step S43', judging whether the obtained new flow value is larger than the flow value of field one in the product monitoring flow record table;
and step S44', if the acquired new flow value is less than or equal to the flow value of the field I in the product monitoring flow record table, setting the field III to be 1, storing the field current _ flow into the field II, and storing the sum of the field current _ flow and the new flow value into the field current _ flow.
In one example, the preconfigured algorithm in turn comprises the steps of:
step S41', a single device flow value returned by the acquired device flow service is used as a new flow value and is stored in the field I;
step S42', storing the field current _ flow in the product monitoring flow record table into the field previous _ flow;
step S43', judging whether the obtained new flow value is larger than the flow value of the field I in the product monitoring flow record table;
step S44', if the obtained new flow value is larger than the flow value of the field one, inquiring whether the field three in the product monitoring flow record table is 1;
and step S45', if the field three in the product monitoring flow record table is 0, the new flow value is stored in the field current _ flow.
According to another aspect of the present invention, there is provided a system for monitoring traffic of an elastic public network IP under a public cloud platform, the system for monitoring traffic of an elastic public network IP under a public cloud platform comprising:
the real-time traffic obtaining module 1, step S1, monitors the overall planning service to notify the obtaining device of the traffic service to obtain the real-time traffic from the router device at the timing cycle;
the real-time traffic statistic module 2, step S2, obtains the device traffic service, and performs traffic statistics on the obtained real-time traffic to obtain a real-time obtained traffic value;
the flow information callback module 3 monitors the flow information acquired by the overall planning service callback in step S3, and acquires a returned flow value from the acquired device flow service;
the restart judgment module 4, step S4, according to the traffic value, judges whether the router device is restarted, and obtains a final traffic value by using a pre-configured algorithm;
and (5) optimizing the reporting module, and monitoring the overall planning service to count the final flow values of all the devices in step S5, calculating the average rate of each timing period, and reporting after integration.
Further, before notifying the obtaining device of the traffic service timing cycle to obtain the real-time traffic from the router device, the monitoring orchestration service further includes the following steps:
and optimizing a product monitoring flow record table.
Further, the preconfigured algorithm comprises the steps of:
step S41, a single device flow value returned by the device flow service is obtained and is used as a new flow value and stored in the field I;
step S42, storing the field current _ flow in the product monitoring flow record table into the field previous _ flow;
step S43, judging whether the acquired new flow value is larger than the flow value of the field I in the product monitoring flow record table;
step S44, if the acquired new flow value is larger than the flow value of the field one, inquiring whether the field three in the product monitoring flow record table is 1;
and step S45, if the field three in the product monitoring flow record table is 1, storing the sum of the flow value of the field two and the new flow value into the field current _ flow.
In summary, with the above technical solution of the present invention, compared with the traditional resilient public network IP traffic monitoring scheme, the present invention can monitor the total value of the acquired traffic information, on one hand, the total value is not affected by the restart of the underlying router device, on the other hand, the total value is not affected by the negative effects caused by the restart of the router, and thus the traffic monitoring is more accurate.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. The method for monitoring the flow of the elastic public network IP under the public cloud platform is characterized by comprising the following steps of:
s1, the monitoring overall planning service informs the obtaining equipment of the flow service to obtain the real-time flow from the router equipment in a timing period;
s2, the flow service of the acquisition equipment carries out flow statistics on the acquired real-time flow to obtain a real-time acquired flow value;
s3, monitoring the traffic information obtained by the overall planning service callback, and obtaining a returned traffic value from the equipment traffic service;
s4, judging whether the router equipment is restarted or not according to the flow value, and acquiring a final flow value by adopting a pre-configured algorithm;
s5, the monitoring and overall planning service counts the final flow values of all the devices, calculates the average rate of each timing period, and reports the average rate after integration;
the pre-configured algorithm comprises the steps of:
s41, taking the single equipment flow value returned by the acquired equipment flow service as a new flow value and storing the new flow value in the field I;
s42, storing the field current _ flow in the product monitoring flow record table into the field previous _ flow;
s43, judging whether the acquired new flow value is larger than the flow value of the field I in the product monitoring flow record table;
s44, if the acquired new flow value is larger than the flow value of the field one, inquiring whether the field three in the product monitoring flow record table is 1;
and S45, if the field three in the product monitoring flow record table is 1, storing the sum of the flow value of the field two and the new flow value into the field current _ flow.
2. The method for traffic monitoring of the elastic public network IP under the public cloud platform of claim 1, wherein the step of notifying the obtaining device of the traffic service to obtain the real-time traffic from the router device at the traffic service timing cycle further comprises the following steps:
and optimizing a product monitoring flow record table.
3. The method for traffic monitoring of the elastic public network IP under the public cloud platform according to claim 2, wherein the optimized product monitoring traffic record table further comprises the steps of:
adding three fields in a product monitoring flow record table;
and recording the flow of the enterprise information platform in the current time and the last time in and out direction.
4. The method for traffic monitoring of the elastic public network IP under the public cloud platform according to claim 3, wherein the three fields include: a field one, a field two and a field three;
wherein, the field one is a real-time acquired flow value real _ time _ flow;
the second field is a total flow value reboot _ init _ flow obtained before the second field is repeated;
and the third field is whether to restart the is _ reboot.
5. The method for traffic monitoring of the elastic public network IP under the public cloud platform according to claim 4, wherein the preconfigured algorithm further comprises the steps of:
s41', using the single device flow value returned by the acquired device flow service as a new flow value and storing the new flow value in the field I;
s42', storing the field current _ flow in the product monitoring flow record table into the field previous _ flow;
s43', judging whether the obtained new flow value is larger than the flow value of the field I in the product monitoring flow record table;
s44', if the obtained new flow value is less than or equal to the flow value of the first field in the product monitoring flow record table, setting the third field to 1, storing the current _ flow in the second field, and storing the sum of the current _ flow and the new flow value in the current _ flow.
6. The method for traffic monitoring of the elastic public network IP under the public cloud platform according to claim 5, wherein the preconfigured algorithm further comprises the steps of:
s41', taking the single device flow value returned by the acquired device flow service as a new flow value, and storing the new flow value in the field I;
s42', storing the field current _ flow in the product monitoring flow record table into the field previous _ flow;
s43', judging whether the obtained new flow value is larger than the flow value of the field I in the product monitoring flow record table;
s44', if the new flow value is larger than the flow value of the field one, inquiring whether the field three in the product monitoring flow record table is 1;
and S45', if the field three in the product monitoring flow record table is 0, storing the new flow value into the field current _ flow.
7. System for carrying out traffic monitoring to elasticity public network IP under public cloud platform, its characterized in that, this public cloud platform down carries out traffic monitoring's system to elasticity public network IP includes:
the real-time traffic acquisition module (1) is used for informing the acquisition equipment of traffic service to acquire real-time traffic from the router equipment in a timing period by the monitoring overall planning service;
the real-time flow counting module (2) is used for acquiring the flow counting of the equipment flow service on the acquired real-time flow to obtain a real-time acquired flow value;
the flow information callback module (3) is used for monitoring the flow information acquired by the overall planning service callback and acquiring a returned flow value from the acquired equipment flow service;
the restart judging module (4) judges whether the router equipment is restarted or not according to the flow value and acquires a final flow value by adopting a pre-configured algorithm;
the optimized reporting module (5) is used for monitoring the overall planning service to count the final flow values of all the devices, calculating the average rate of each timing period, and reporting after integration;
the pre-configured algorithm comprises the steps of:
taking a single equipment flow value returned by the acquired equipment flow service as a new flow value, and storing the new flow value in the field I;
storing the field current _ flow in the product monitoring flow record table into the field previous _ flow;
judging whether the obtained new flow value is larger than the flow value of a field one in a product monitoring flow record table or not;
if the acquired new flow value is larger than the flow value of the field one, inquiring whether a field three in a product monitoring flow record table is 1;
if the field three in the product monitoring flow record table is 1, storing the sum of the flow value of the field two and the new flow value into a field current _ flow;
the preconfigured algorithm further comprises the steps of:
taking a single equipment flow value returned by the acquired equipment flow service as a new flow value, and storing the new flow value in the field I;
storing the field current _ flow in the product monitoring flow record table into the field previous _ flow;
judging whether the obtained new flow value is larger than the flow value of a field one in a product monitoring flow record table or not;
if the obtained new flow value is smaller than or equal to the flow value of the field one in the product monitoring flow record table, setting the field three to be 1, storing the field current _ flow into the field two, and storing the sum of the field current _ flow and the new flow value into the field current _ flow.
The preconfigured algorithm in turn comprises the steps of:
taking a single equipment flow value returned by the acquired equipment flow service as a new flow value, and storing the new flow value in the field I;
storing the field current _ flow in the product monitoring flow record table into the field previous _ flow;
judging whether the obtained new flow value is larger than the flow value of a field one in a product monitoring flow record table or not;
if the acquired new flow value is larger than the flow value of the field one, inquiring whether a field three in a product monitoring flow record table is 1;
and if the field three in the product monitoring flow record table is 0, storing the new flow value into the field current _ flow.
8. The system for traffic monitoring of the elastic public network IP under the public cloud platform of claim 7, wherein the monitoring orchestration service notification obtaining device further comprises the following steps before the traffic service timing cycle obtains real-time traffic from the router device:
and optimizing a product monitoring flow record table.
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