CN116319480B - IDC operation and maintenance system and method based on data processing - Google Patents
IDC operation and maintenance system and method based on data processing Download PDFInfo
- Publication number
- CN116319480B CN116319480B CN202310572288.9A CN202310572288A CN116319480B CN 116319480 B CN116319480 B CN 116319480B CN 202310572288 A CN202310572288 A CN 202310572288A CN 116319480 B CN116319480 B CN 116319480B
- Authority
- CN
- China
- Prior art keywords
- server
- data
- weight
- early warning
- service request
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012545 processing Methods 0.000 title claims abstract description 56
- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000012423 maintenance Methods 0.000 title claims abstract description 19
- 238000007405 data analysis Methods 0.000 claims abstract description 36
- 238000004458 analytical method Methods 0.000 claims description 21
- 230000002159 abnormal effect Effects 0.000 claims description 16
- 238000012544 monitoring process Methods 0.000 claims description 14
- 238000011418 maintenance treatment Methods 0.000 claims description 6
- 238000013480 data collection Methods 0.000 claims description 2
- 238000003672 processing method Methods 0.000 claims description 2
- 238000012360 testing method Methods 0.000 claims description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/10—Active monitoring, e.g. heartbeat, ping or trace-route
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
- H04L43/0888—Throughput
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Cardiology (AREA)
- General Health & Medical Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
- Computer And Data Communications (AREA)
Abstract
The invention discloses an IDC operation and maintenance system and method based on data processing, which relate to the technical field of IDC operation and maintenance and comprise a management and control module, wherein the management and control module is connected with a data acquisition module, a data analysis module, a data processing module and an early warning module; the data acquisition module is used for acquiring relevant data of the server; the data analysis module is used for analyzing the related data of the server and adding weight to the server according to the related data; the data processing module is used for processing the data received by the IDC; the system adds weight to the server through the data analysis module, marks the data received by the IDC as a service request, divides the service request level according to the data size through the data processing module, divides the server level according to the weight size, matches the server of the corresponding level for the service request, updates the weight of the server after the period time, and ensures that the weight of the server more accords with the current condition of the server.
Description
Technical Field
The invention relates to the technical field of IDC operation and maintenance, in particular to an IDC operation and maintenance system and method based on data processing.
Background
The internet data center (Internet Data Center, abbreviated as IDC) refers to an application service platform which has perfect equipment (including high-speed internet access bandwidth, high-performance local area network, safe and reliable machine room environment and the like), specialized management and perfect application service platform. On the basis of the platform, the IDC service provider provides internet basic platform services (server hosting, virtual hosts, mail caching, virtual mails and the like) and various value added services (leased services of sites, domain name system services, load balancing systems, database systems, data backup services and the like) for clients;
in the prior art, when the IDC adopts a weighting method in a load balancing method to balance the access pressure of a user, the added weight for a server has no flexibility, and a resource waste phenomenon may exist for processing the access of the user to the matched server, so that the IDC operation and maintenance system and method based on data processing are provided.
Disclosure of Invention
The invention aims to provide an IDC operation and maintenance system and method based on data processing.
The aim of the invention can be achieved by the following technical scheme: the IDC operation and maintenance system based on data processing comprises a management and control module, wherein the management and control module is connected with a data acquisition module, a data analysis module, a data processing module and an early warning module;
the data acquisition module is used for acquiring relevant data of the server;
the data analysis module is used for analyzing the related data of the server and adding weight to the server according to the related data;
the data processing module is used for processing the data received by the IDC;
the early warning module is used for processing early warning information.
Further, the process of the data acquisition module for acquiring the relevant data of the server is as follows:
the related data comprises throughput data and bandwidth data;
the data acquisition module comprises a throughput monitoring unit and a bandwidth monitoring unit;
the throughput monitoring unit acquires throughput data of the server through the Ipref and submits the acquired throughput data to the data analysis module in real time;
the bandwidth monitoring unit acquires the bandwidth data of the server through a Ping value test method and submits the acquired bandwidth data to the data analysis module in real time.
Further, the data analysis module comprises an analysis unit and a storage unit;
the analysis unit is used for analyzing the related data of the server, acquiring the weight of the server according to the related data and generating a weight data set;
the storage unit is used for storing the weight data set.
Further, the process of the analysis unit obtaining the server weight according to the related data and generating the weight data set is as follows:
after the analysis unit receives the throughput data and the bandwidth data, generating a throughput data set according to the received throughput data, and generating a bandwidth data set according to the bandwidth data;
generating a weight data set according to the throughput data set and the bandwidth data set;
the analysis unit submits the obtained weight data set to the storage unit, and the storage unit stores the weight data set;
setting a cycle time;
and after the period time, updating the weight data set, and submitting the updated weight data set to a storage unit for storage.
Further, the updating process of the weight data set is as follows:
if the throughput data and the bandwidth data of the server are received, generating weights according to the throughput data and the bandwidth data;
and after the period time, generating new weights according to the throughput data and the bandwidth data of the server submitted by the data acquisition module, and replacing the original weights by the generated new weights.
Further, the process of storing the weight data set by the storage unit is as follows:
the storage unit comprises a time subunit and a content subunit;
the storage unit stores the receiving time to the time subunit and stores the weight data set to the content subunit when receiving the weight data set;
according to the past period weight data set and the time node recorded by the storage unit, acquiring a weight interval of a normal state of the server in a certain time period, when the analysis unit acquires that the weight of the certain server is not in the weight interval of the normal state of the server in the time period, generating 'abnormal existence of the server' early warning information according to the MAC address of the server, submitting the early warning information to the early warning module, and making corresponding processing by the early warning module.
Further, the process of the data processing module for processing the data received by the IDC includes:
when IDC receives external data, marking the received external data as a service request;
dividing service request grades according to the data size;
dividing server grades according to weight sizes;
when a service request is received, judging the grade of the service request according to the data size of the service request, matching a server with a corresponding grade for the service request according to the grade of the service request, and processing the received service request by the server;
if the server of the grade corresponding to the grade of the service request is not existed temporarily, the superior server is applied to process the service request, if the superior server still does not exist temporarily, the superior server of the superior server is continuously applied to process the service request until the highest grade server; if the highest-level server still does not exist, generating 'missing server' early warning information, submitting the early warning information to an early warning module, and carrying out corresponding processing by the early warning module;
the upper server is a server with a weight interval higher than the current server by one level;
the highest-level server is the server in the highest weight interval.
Further, the process of processing the early warning information by the early warning module comprises the following steps:
the early warning module divides the server into a normal server and an abnormal server;
when receiving the early warning information of the 'missing server', sending the early warning information to a user, and carrying out corresponding maintenance treatment by the user;
when receiving the early warning information that the server is abnormal, positioning the server according to the MAC address in the early warning information, marking the server as an abnormal server, and sending the MAC address of the server to a user to inform the user that the server has a problem and that maintenance treatment is needed;
when a user maintains the server, after the user feeds back the processed data to the early warning module, the data acquisition module acquires the related data of the server, the related data is submitted to the data analysis module, the data analysis module reacquires the weight of the server, if the weight reacquired by the data analysis module is in the weight interval in the normal state, the early warning module cancels the corresponding early warning information, and if the weight reacquired by the data analysis module is not in the weight interval in the normal state, the early warning module transmits the MAC address of the server to the user again to inform the user that the server has a problem and maintenance is required.
Compared with the prior art, the invention has the beneficial effects that: the system marks the data which is received by the IDC and needs to be processed as a service request, classifies the service request according to the data size, and meanwhile, classifies the server according to the weight size; when a service request is received, judging the grade of the service request according to the data size of the service request, matching a server with a corresponding grade for the service request according to the grade of the service request, and processing the received service request by the server; and the weight of the server is updated after the period time, so that the weight of the server is ensured to be more in line with the self situation of the server.
Drawings
Fig. 1 is a schematic diagram of the present invention.
Detailed Description
As shown in fig. 1, the IDC operation and maintenance system based on data processing comprises a control module, wherein the control module is connected with a data acquisition module, a data analysis module, a data processing module and an early warning module;
the data acquisition module is used for acquiring relevant data of the server, and the specific process is as follows:
the related data comprises throughput data and bandwidth data;
the data acquisition module comprises a throughput monitoring unit and a bandwidth monitoring unit;
the throughput monitoring unit acquires throughput data of the server through the Ipref and submits the acquired throughput data to the data analysis module in real time;
the bandwidth monitoring unit acquires bandwidth data of the server through a Ping value testing method and submits the acquired bandwidth data to the data analysis module in real time;
the data analysis module is used for analyzing the related data of the server and adding weight to the server according to the related data, and the specific process is as follows:
the data analysis module comprises an analysis unit and a storage unit;
the analysis unit is used for analyzing the related data of the server, acquiring the weight of the server according to the related data and generating a weight data set;
the storage unit is used for storing a weight data set;
after receiving the throughput data and the bandwidth data, the data analysis module submits the throughput data and the bandwidth data to an analysis unit, and the analysis unit performs further analysis;
after the analysis unit receives the throughput data and the bandwidth data, setting the throughput data as x and the bandwidth data as y;
then a weight z is obtained according to the throughput data and the bandwidth data;
wherein, the liquid crystal display device comprises a liquid crystal display device,；
wherein v is the service life of the server, k is the service life of the server, n is the material power of the network cable used by the server, and m is the maintenance times of the network cable used by the server;
setting that n servers exist, generating throughput data set according to received throughput dataWherein->Throughput data representing an ith server; generating a bandwidth data set from the bandwidth data>Wherein->Bandwidth data representing an ith server;
generating a weight data set from a throughput data set X and a bandwidth data set YWherein->The weight of the ith server is represented;
the analysis unit submits the obtained weight data set to the storage unit, and the storage unit stores the weight data set;
updating the weight data set after the period time, and submitting the updated weight data set to a storage unit for storage;
setting a time period T as a cycle time;
if the throughput data of the ith server is receivedAnd bandwidth data->Then according to throughput data->And bandwidth data->Generating weight->；
When the period time passes, according to the throughput data of the ith server submitted by the data acquisition moduleAnd bandwidth data->Generating corresponding weight->And is subject to weight->Substitute weight->Weight +.>As the latest weight of the ith server;
the storage unit comprises a time subunit and a content subunit;
the storage unit stores the receiving time to the time subunit and stores the weight data set to the content subunit when receiving the weight data set;
acquiring a weight interval of a normal state of a server in a certain time period according to a past-period weight data set and a time node recorded by a storage unit, and when an analysis unit acquires that the weight of the certain server is not in the weight interval of the normal state of the server in the time period, generating 'abnormal existence of the server' early warning information according to the MAC address of the server, submitting the early warning information to an early warning module, and correspondingly processing by the early warning module;
setting the weight interval of the normal state of the server as [ E, G ], and setting the server to be in the normal state when the weight is greater than or equal to E and less than or equal to G; if the weight is smaller than E or larger than G, the server is in an abnormal state, and early warning information of 'the server is abnormal' is generated according to the MAC address of the server and submitted to an early warning module;
the data processing module is used for processing data received by the IDC, and the specific process is as follows:
when IDC receives external data and needs to process the data, marking the received external data as a service request, and designating a server for processing the service request by a data processing module according to the size of the received service request and the weight of the server;
according to the data size, subdividing the service request into five grades;
setting a, b, c, d, wherein a is less than b, b is less than c, and c is less than d;
setting the data size of the received service request as P;
if P is more than or equal to 0 and P is less than a, the received service request is called a primary service request; if P is greater than or equal to a and P is less than b, the received service request is called a secondary service request; if P is greater than or equal to b and P is less than c, the received service request is called a three-level service request; if P is greater than or equal to c and P is less than d, the received service request is called a four-level service request; if P is greater than or equal to d, the received service request is called a five-level service request;
according to the weight, the server is subdivided into five grades;
a, B, C, D, the coefficient w is set such that a=wa, b=wb, c=wc, d=wd, and a is larger than E and D is smaller than G; the coefficient can be a numerical value or a formula;
when the weight is greater than E and less than A, the marking server is a primary server; when the weight is greater than or equal to A and less than B, the marking server is a secondary server; when the weight is greater than or equal to B and less than C, the marking server is a three-level server; when the weight is greater than or equal to C and less than D, the marking server is a four-level server; when the weight is greater than or equal to D and less than G, the marking server is a five-level server;
when a service request is received, judging the grade of the service request according to the data size of the service request, matching a server with a corresponding grade for the service request according to the grade of the service request, and processing the received service request by the server;
when the received service request is a primary service request, randomly selecting a server from the primary servers to process the service request; when the received service request is a secondary service request, randomly selecting a server from the secondary servers to process the service request; when the received service request is a three-level service request, randomly selecting a server from the three-level servers to process the service request; when the received service request is a four-level service request, randomly selecting a server from the four-level servers to process the service request; when the received service request is a five-level service request, randomly selecting a server from the five-level servers to process the service request;
if the server of the grade corresponding to the grade of the service request is not existed temporarily, the superior server is applied to process the service request, if the superior server still does not exist temporarily, the superior server of the superior server is continuously applied to process the service request until the highest grade server; if the highest-level server still does not exist, generating 'missing server' early warning information, submitting the early warning information to an early warning module, and carrying out corresponding processing by the early warning module;
the upper server is a server with a weight interval higher than the weight interval of the current server by one level, namely the second server is an upper server of the first server;
the highest-level server is the server in the highest weight interval, namely the five-level server is the highest-level server;
when the received service request is a first-level one, a server which is temporarily not existed in the first-level server applies for using the second-level server, randomly selecting a server from the second-level server to process the service request, and if the server is still temporarily not existed in the second-level server, applying for using the third-level server, and so on until applying for the fifth-level server;
i.e. the primary server can process the primary service request; the secondary server can process the primary service request and the secondary service request; the tertiary server can process the primary service request, the secondary service request and the tertiary service request; the fourth-level server can process the first-level service request, the second-level service request, the third-level service request and the fourth-level service request; the five-level server can process a first-level service request, a second-level service request, a third-level service request, a fourth-level service request and a fifth-level service request;
if the five-level server still does not exist in the temporary servers, generating early warning information of a missing server, and submitting the early warning information to an early warning module;
the early warning module is used for processing early warning information, and the specific process is as follows:
the early warning module divides the server into a normal server and an abnormal server;
when receiving the early warning information of the 'missing server', sending the early warning information to a user, and carrying out corresponding maintenance treatment by the user;
when receiving the early warning information that the server is abnormal, positioning the server according to the MAC address in the early warning information, marking the server as an abnormal server, and sending the MAC address of the server to a user to inform the user that the server has a problem and that maintenance treatment is needed;
when a user maintains the server, after the user feeds back the processed data to the early warning module, the data acquisition module acquires the related data of the server, the related data is submitted to the data analysis module, the data analysis module reacquires the weight of the server, if the weight reacquired by the data analysis module is in the weight interval in the normal state, the early warning module cancels the corresponding early warning information, and if the weight reacquired by the data analysis module is not in the weight interval in the normal state, the early warning module transmits the MAC address of the server to the user again to inform the user that the server has a problem and maintenance is required.
An IDC operation and maintenance method based on data processing comprises the following steps:
step S1: the method comprises the steps that relevant data of a server are collected through a data collection module, wherein the relevant data comprise throughput and bandwidth of the server;
step S2: the throughput and the bandwidth of the server are subjected to data analysis through a data analysis module, and additional weight operation is carried out on the server according to the throughput and the bandwidth of the server, so that a weight data set is generated;
step S3: setting a period time, updating the weight data set after the period time, acquiring a weight interval in a normal state of the server according to the weight data set recorded in the past, generating 'server abnormal existence' early warning information according to the MAC address of the server if the weight of the server is not in the weight interval in the normal state, and submitting the early warning information to an early warning module;
step S4: processing data received by IDC through a data processing module, marking the data as a service request, and subdividing the service request into five grades according to the data size of the service request; meanwhile, the server is subdivided into five grades through weights; judging the grade of the service request according to the data size of the received service request, matching a server with a corresponding grade for the service request according to the grade of the service request, and processing the received service request by the server; if the server of the grade matched with the service request is not existed temporarily, the upper server is applied to process the service request, if the upper server still does not exist temporarily, the upper server of the upper server is continuously applied to process the service request until the service request is processed by the highest grade server; if the highest-level server still does not exist, generating 'missing server' early warning information, submitting the early warning information to an early warning module, and carrying out corresponding processing by the early warning module;
step S5: processing the early warning information through an early warning module, and generating a corresponding processing method according to the received early warning information;
the above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (2)
1. The IDC operation and maintenance system based on data processing comprises a management and control module, and is characterized in that the management and control module is connected with a data acquisition module, a data analysis module, a data processing module and an early warning module;
the data acquisition module comprises a throughput monitoring unit and a bandwidth monitoring unit, wherein the throughput monitoring unit acquires throughput data of a server, the bandwidth monitoring unit acquires bandwidth data of the server, and the acquired throughput data and bandwidth data are submitted to the data analysis module in real time;
the data analysis module comprises an analysis unit and a storage unit, wherein after receiving throughput data and bandwidth data, the data analysis module submits the throughput data and the bandwidth data to the analysis unit, the analysis unit obtains weights according to the throughput data and the bandwidth data to generate a weight data set, and submits the weight data set to the storage unit for storage, and meanwhile, the weight data set is updated and corresponding early warning information is generated according to new weight data;
the data processing module is used for processing the data received by the IDC and marking the received external data as a service request; dividing service request grades according to the data size, and dividing server grades according to the weight size; when a service request is received, judging the grade of the service request according to the data size of the service request, matching a server with a corresponding grade for the service request according to the grade of the service request, and processing the received service request by the server; if the server of the grade corresponding to the grade of the service request is not existed temporarily, the superior server is applied to process the service request, if the superior server still does not exist temporarily, the superior server of the superior server is continuously applied to process the service request until the highest grade server; if the highest-level server still does not exist, generating 'missing server' early warning information, submitting the early warning information to an early warning module, and carrying out corresponding processing by the early warning module;
the early warning module is used for processing the generated early warning information and judging whether the corresponding server needs maintenance or not according to the processing result;
the throughput monitoring unit acquires throughput data of the server through the Ipref and submits the acquired throughput data to the data analysis module in real time;
the bandwidth monitoring unit acquires bandwidth data of the server through a Ping value testing method and submits the acquired bandwidth data to the data analysis module in real time;
the process of the analysis unit obtaining the server weight and generating the weight data set according to the related data is as follows:
after the analysis unit receives the throughput data and the bandwidth data, generating a throughput data set according to the received throughput data, and generating a bandwidth data set according to the bandwidth data;
generating a weight data set according to the throughput data set and the bandwidth data set;
the analysis unit submits the obtained weight data set to the storage unit, and the storage unit stores the weight data set;
setting a cycle time;
updating the weight data set after the period time, and submitting the updated weight data set to a storage unit for storage;
the updating processing process of the weight data set comprises the following steps:
if the throughput data and the bandwidth data of the server are received, generating weights according to the throughput data and the bandwidth data;
when the period time passes, generating new weights according to the throughput data and the bandwidth data of the server submitted by the data acquisition module, and replacing the original weights by the generated new weights;
the process of the storage unit for storing the weight data set is as follows:
the storage unit comprises a time subunit and a content subunit;
the storage unit stores the receiving time to the time subunit and stores the weight data set to the content subunit when receiving the weight data set;
acquiring a weight interval of a normal state of a server in a certain time period according to a past-period weight data set and a time node recorded by a storage unit, and when an analysis unit acquires that the weight of the certain server is not in the weight interval of the normal state of the server in the time period, generating 'abnormal existence of the server' early warning information according to the MAC address of the server, submitting the early warning information to an early warning module, and correspondingly processing by the early warning module;
the upper server is a server with a weight interval higher than the current server by one level;
the highest-level server is the server in the highest weight interval;
the process of processing the early warning information by the early warning module comprises the following steps:
the early warning module divides the server into a normal server and an abnormal server;
when receiving the early warning information of the 'missing server', sending the early warning information to a user, and carrying out corresponding maintenance treatment by the user;
when receiving the early warning information that the server is abnormal, positioning the server according to the MAC address in the early warning information, marking the server as an abnormal server, and sending the MAC address of the server to a user to inform the user that the server has a problem and that maintenance treatment is needed;
when a user maintains the server, after the user feeds back the processed data to the early warning module, the data acquisition module acquires the related data of the server, the related data is submitted to the data analysis module, the data analysis module reacquires the weight of the server, if the weight reacquired by the data analysis module is in the weight interval in the normal state, the early warning module cancels the corresponding early warning information, and if the weight reacquired by the data analysis module is not in the weight interval in the normal state, the early warning module transmits the MAC address of the server to the user again to inform the user that the server has a problem and maintenance is required.
2. An operation and maintenance method of IDC operation and maintenance system based on data processing according to claim 1, characterized by comprising the steps of:
step S1: the method comprises the steps that relevant data of a server are collected through a data collection module, wherein the relevant data comprise throughput and bandwidth of the server;
step S2: the throughput and the bandwidth of the server are subjected to data analysis through a data analysis module, and additional weight operation is carried out on the server according to the throughput and the bandwidth of the server, so that a weight data set is generated;
step S3: setting a period time, updating the weight data set after the period time, acquiring a weight interval in a normal state of the server according to the weight data set recorded in the past, generating 'server abnormal existence' early warning information according to the MAC address of the server if the weight of the server is not in the weight interval in the normal state, and submitting the early warning information to an early warning module;
step S4: processing data received by IDC through a data processing module, marking the data as a service request, and subdividing the service request into five grades according to the data size of the service request; meanwhile, the server is subdivided into five grades through weights; judging the grade of the service request according to the data size of the received service request, matching a server with a corresponding grade for the service request according to the grade of the service request, and processing the received service request by the server; if the server of the grade matched with the service request is not existed temporarily, the upper server is applied to process the service request, if the upper server still does not exist temporarily, the upper server of the upper server is continuously applied to process the service request until the service request is processed by the highest grade server; if the highest-level server still does not exist, generating 'missing server' early warning information, submitting the early warning information to an early warning module, and carrying out corresponding processing by the early warning module;
step S5: and processing the early warning information through an early warning module, and generating a corresponding processing method according to the received early warning information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310572288.9A CN116319480B (en) | 2023-05-22 | 2023-05-22 | IDC operation and maintenance system and method based on data processing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310572288.9A CN116319480B (en) | 2023-05-22 | 2023-05-22 | IDC operation and maintenance system and method based on data processing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116319480A CN116319480A (en) | 2023-06-23 |
| CN116319480B true CN116319480B (en) | 2023-08-08 |
Family
ID=86791001
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310572288.9A Active CN116319480B (en) | 2023-05-22 | 2023-05-22 | IDC operation and maintenance system and method based on data processing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116319480B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105491138A (en) * | 2015-12-15 | 2016-04-13 | 国网智能电网研究院 | Load rate based graded triggering distributed load scheduling method |
| CN110377417A (en) * | 2019-06-06 | 2019-10-25 | 深圳市太易云互联科技有限公司 | Data routing method and device |
| CN113055479A (en) * | 2021-03-17 | 2021-06-29 | 中国工商银行股份有限公司 | Self-adaptive processing method, device and system for distributed service cluster load |
| CN116069503A (en) * | 2023-01-10 | 2023-05-05 | 广东电网有限责任公司 | Method and system for balancing server load |
-
2023
- 2023-05-22 CN CN202310572288.9A patent/CN116319480B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105491138A (en) * | 2015-12-15 | 2016-04-13 | 国网智能电网研究院 | Load rate based graded triggering distributed load scheduling method |
| CN110377417A (en) * | 2019-06-06 | 2019-10-25 | 深圳市太易云互联科技有限公司 | Data routing method and device |
| CN113055479A (en) * | 2021-03-17 | 2021-06-29 | 中国工商银行股份有限公司 | Self-adaptive processing method, device and system for distributed service cluster load |
| CN116069503A (en) * | 2023-01-10 | 2023-05-05 | 广东电网有限责任公司 | Method and system for balancing server load |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116319480A (en) | 2023-06-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20100082758A1 (en) | Global email address reputation system | |
| JP2004500761A5 (en) | ||
| CN112087334B (en) | Alarm root cause analysis method, electronic device and storage medium | |
| CN112650580B (en) | Industrial big data monitoring system based on edge calculation | |
| CN114513470A (en) | Network flow control method, device, equipment and computer readable storage medium | |
| CN116319480B (en) | IDC operation and maintenance system and method based on data processing | |
| CN111953551A (en) | Log data transmission method and device, electronic equipment and storage medium | |
| CN108880885A (en) | A kind of message processing method and device | |
| CN115622867A (en) | Industrial control system safety event early warning classification method and system | |
| CN104883705B (en) | A kind of the problem of data service is complained localization method and device | |
| CN114189350B (en) | LightGBM-based train communication network intrusion detection method | |
| CN111431884B (en) | Host computer defect detection method and device based on DNS analysis | |
| CN116634493A (en) | Alarm information processing method and device, equipment and computer readable storage medium | |
| CN109391738B (en) | Method for carrying out early warning according to mobile terminal information | |
| CN113779808A (en) | Big data based policy simulation analysis method and system | |
| CN112817754A (en) | Information processing method based on block chain and big data analysis and big data platform | |
| CN113873001A (en) | Load balancing optimization method based on HTTP request classification | |
| CN112087331A (en) | Alarm management system and method based on big data | |
| CN112491806A (en) | Cloud platform flow security analysis system and method | |
| CN106888237A (en) | A kind of data dispatching method and system | |
| CN117459449B (en) | Communication method and device based on multiple links | |
| CN114158081B (en) | End-to-end perception early warning method and device and computer equipment | |
| CN113986552A (en) | Multilink load balancing method and system | |
| CN117196399B (en) | Customer service center operation supervision optimization system based on data analysis | |
| CN116744305B (en) | Communication system based on safety control of 5G data communication process |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |