CN117376204A - Method for detecting network server connection - Google Patents
Method for detecting network server connection Download PDFInfo
- Publication number
- CN117376204A CN117376204A CN202311289787.3A CN202311289787A CN117376204A CN 117376204 A CN117376204 A CN 117376204A CN 202311289787 A CN202311289787 A CN 202311289787A CN 117376204 A CN117376204 A CN 117376204A
- Authority
- CN
- China
- Prior art keywords
- server
- detection
- connection
- availability
- network
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000001514 detection method Methods 0.000 claims abstract description 69
- 230000004044 response Effects 0.000 claims abstract description 23
- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
- 238000013024 troubleshooting Methods 0.000 claims description 5
- 230000015556 catabolic process Effects 0.000 claims description 3
- 238000006731 degradation reaction Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 10
- 230000008439 repair process Effects 0.000 abstract description 2
- 230000009471 action Effects 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- 230000001934 delay Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 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
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0852—Delays
Landscapes
- Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention relates to the field of server detection, and discloses a method for detecting network server connection, which comprises multipoint detection, quick response, intelligent analysis, automation and scalability and multidimensional monitoring. The method provided by the invention can comprehensively cover the detection of the servers by the multipoint detection method, and ensures that all the servers are monitored in time. Therefore, the availability problem of the server can be quickly found, measures can be timely taken to repair faults, and the availability and stability of the service are improved. Meanwhile, the connection detection method combined with the rapid response can reduce delay so that the failure can be detected earlier. By timely finding out faults and automatically triggering an alarm or a fault removal process, the fault removal speed can be increased, the service interruption time can be reduced, and the user satisfaction can be improved.
Description
Technical Field
The invention belongs to the field of server detection, and particularly relates to a method for detecting network server connection.
Background
Internet services are typically made up of multiple servers, which may be located in different geographic locations or data centers. Connection detection may be used to detect the availability of these servers, i.e. to ensure that the servers are in a normal operating state and are able to accept and process requests. If the server fails to respond or the response time is too long, the server may be deemed unavailable or poorly performing. Such connection detection may help ensure availability and performance of internet services and provide timely troubleshooting.
Existing connection detection methods may require sending requests and waiting for server responses, which may result in long delays. This is a problem for services with high real-time requirements, as delays may lead to a reduced user experience. In addition, the connection detection method may have a false alarm or a missing alarm. False positives refer to the situation where a normal server is incorrectly marked as unavailable, while false negatives are cases where a failure is not detected. This may lead to unnecessary troubleshooting or failure to discover and solve problems in time.
Disclosure of Invention
The technical problems to be solved are as follows: delay caused by connection detection, false positive and false negative problems.
The technical scheme is as follows: the invention provides a method for detecting network server connection, which comprises the following steps: multipoint detection: performing connection detection by using detection points of a plurality of geographic positions or data centers so as to ensure the whole coverage of the server; therefore, the situation that a certain detection point is wrong to cause false alarm or missing alarm is avoided; fast response: adopting a rapid connection detection method, which includes but is not limited to a lightweight Ping or TCP connection request, and setting a shorter timeout time; intelligent analysis: the connection detection result of the server is intelligently analyzed and judged by combining the monitoring and log analysis technology; the availability problem of the server can be more accurately judged by analyzing the performance data, the error log and other information of the server, and the situations of false report and missing report are reduced; automation and scalability: an automatic connection detection system is adopted, so that detection can be automatically carried out and detection points and frequencies can be dynamically adjusted; meanwhile, the system has good scalability, and can adapt to the expansion of the internet service scale without affecting the performance; multidimensional monitoring: in addition to connection detection, other key metrics should be monitored, such as server load, network bandwidth utilization, etc.; therefore, the overall running state of the server can be comprehensively monitored, and potential problems can be timely found and solved.
Further, multi-point detection may also help determine delay or packet loss problems in the network; by comparing the response time and success rate of different detection points, the network delay and stability can be judged, thereby better evaluating the availability of the server.
Further, ping is a network tool based on ICMP protocol that can quickly send and receive network packets to measure delay and availability of the network; the TCP connection request is to detect the availability of the server by establishing a TCP connection and waiting for an acknowledgement by the server.
Further, the performance data may help determine whether the server has problems such as overload and insufficient resources, thereby affecting the availability of the server.
Further, the error log records errors and abnormal conditions of the server in the running process; by analyzing the error log, potential problems can be found and solved in time, and faults or performance degradation of the server are avoided.
Further, the automatic connection detection system can periodically send a connection request and automatically judge the availability of the server according to the response condition of the server; when it is detected that the server is not available, the system may automatically trigger an alarm or troubleshooting procedure to resolve the problem in time.
The technical effects are as follows: the method provided by the invention can comprehensively cover the detection of the servers by the multipoint detection method, and ensures that all the servers are monitored in time. Therefore, the availability problem of the server can be quickly found, measures can be timely taken to repair faults, and the availability and stability of the service are improved. Meanwhile, the connection detection method combined with the rapid response can reduce delay so that the failure can be detected earlier. By timely finding out faults and automatically triggering an alarm or a fault removal process, the fault removal speed can be increased, the service interruption time can be reduced, and the user satisfaction can be improved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of the process content of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention; all other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The method for detecting connection of a network server according to this embodiment, as shown in fig. 1, includes:
multi-point detection: to ensure accurate detection of the server's full coverage and availability, connection detection may be performed using multiple geographic locations or detection points of a data center. By deploying detection points at different geographic locations or data centers, the availability of the server may be detected from multiple angles. Thus, the situation that a single detection point is wrong to cause false alarm or missing alarm can be avoided. When using the multipoint detection method, detection points of different geographical locations or data centers can be set, and the availability of the server can be detected by periodically transmitting a connection request and receiving a response of the server. Each detection point should be run independently to ensure the independence and accuracy of the connection detection. By collecting data from different detection points, the overall availability of the server can be judged, and potential faults or performance problems can be found in time. In addition, multi-point detection may also help determine delay or packet loss problems in the network. By comparing the response time and success rate of different detection points, the network delay and stability can be judged, thereby better evaluating the availability of the server.
Second, quick response: fast response is an important factor in connection detection methods. For internet services, one of the keys to the user experience is the response speed of the service. Therefore, it is very important to use a fast response method in connection detection. One common fast response method is to use a lightweight Ping or TCP connection request and set a short timeout period. Ping is a network tool based on ICMP protocol that can quickly send and receive network packets to measure the delay and availability of the network. By sending Ping requests to the server and waiting for a response, the availability of the server can be quickly detected. Another approach is to use TCP connection requests to detect the availability of a server by establishing a TCP connection and waiting for acknowledgement of the server. This approach is generally more accurate than Ping because TCP connections are a reliable way of connecting and can better simulate the actual request and response processes. By adopting these fast response methods, the delay of connection detection can be reduced, and the availability problem of the server can be found in time. This is particularly important for those scenarios where the service response speed is high, such as real-time communications, online games, etc.
Thirdly, intelligent analysis: in the connection detection process, merely detecting the availability of a server may not be sufficient to accurately determine the operational state of the server. Therefore, by combining the monitoring and log analysis technology, intelligent analysis and judgment can be performed so as to improve the accuracy of connection detection. The running state of the server can be more comprehensively known by monitoring the performance data of the server, such as CPU (Central processing Unit) utilization rate, memory utilization rate, network bandwidth and the like. The performance data can help determine whether the server has problems such as overload and insufficient resources, thereby affecting the availability of the server. In addition, analyzing the error log of the server is also an important intelligent analysis method. The error log records errors and abnormal conditions of the server in the running process. By analyzing the error log, potential problems can be found and solved in time, and faults or performance degradation of the server are avoided.
Fourth, automation and scalability: the connection detection system should have an automatic capability to automatically detect and dynamically adjust the detection point and frequency. Therefore, the workload of manual intervention can be reduced, and the efficiency of connection detection is improved. The automatic connection detection system can send connection requests regularly and automatically judge the availability of the server according to the response condition of the server. When it is detected that the server is not available, the system may automatically trigger an alarm or troubleshooting procedure to resolve the problem in time. In addition, the connection detection system should also have good scalability, and be able to accommodate expansion of the internet service scale without affecting performance. As the number of servers increases and user requests increase, connection detection systems need to be able to handle larger loads while remaining efficient and stable. In order to achieve automation and scalability, a distributed architecture may be employed, where connection detection tasks are distributed over multiple nodes for parallel processing. By dynamically adding or removing nodes, the scale of the system can be adjusted according to actual requirements, and good expansibility is provided.
Fifthly, multidimensional monitoring: in addition to connection detection, other key metrics should be monitored, such as server load, network bandwidth utilization, etc. Therefore, the overall running state of the server can be comprehensively monitored, and potential problems can be timely found and solved.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A method of network server connection detection, the method comprising:
multi-point detection: performing connection detection by using detection points of a plurality of geographic positions or data centers so as to ensure the whole coverage of the server; therefore, the situation that a certain detection point is wrong to cause false alarm or missing alarm is avoided;
second, quick response: adopting a rapid connection detection method, which includes but is not limited to a lightweight Ping or TCP connection request, and setting a shorter timeout time;
thirdly, intelligent analysis: the connection detection result of the server is intelligently analyzed and judged by combining the monitoring and log analysis technology; the availability problem of the server can be more accurately judged by analyzing the performance data, the error log and other information of the server, and the situations of false report and missing report are reduced;
fourth, automation and scalability: an automatic connection detection system is adopted, so that detection can be automatically carried out and detection points and frequencies can be dynamically adjusted; meanwhile, the system has good scalability, and can adapt to the expansion of the internet service scale without affecting the performance;
fifthly, multidimensional monitoring: in addition to connection detection, other key metrics should be monitored, such as server load, network bandwidth utilization, etc.; therefore, the overall running state of the server can be comprehensively monitored, and potential problems can be timely found and solved.
2. The method of claim 1, wherein the multi-point detection further helps to determine delay or packet loss problems in the network; by comparing the response time and success rate of different detection points, the network delay and stability can be judged, thereby better evaluating the availability of the server.
3. The method for network server connection detection according to claim 1, wherein Ping is an ICMP protocol based network tool that can rapidly send and receive network packets to measure delay and availability of a network; the TCP connection request is to detect the availability of the server by establishing a TCP connection and waiting for an acknowledgement by the server.
4. The method for detecting network server connection according to claim 1, wherein the performance data can help determine whether the server has problems such as overload and insufficient resources, thereby affecting the availability of the server.
5. The method for network server connection detection according to claim 1, wherein the error log records errors and anomalies occurring during the operation of the server; by analyzing the error log, potential problems can be found and solved in time, and faults or performance degradation of the server are avoided.
6. The method for detecting network server connection according to claim 1, wherein the automated connection detection system can periodically send a connection request and automatically determine availability of the server according to a response of the server; when it is detected that the server is not available, the system may automatically trigger an alarm or troubleshooting procedure to resolve the problem in time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311289787.3A CN117376204A (en) | 2023-10-08 | 2023-10-08 | Method for detecting network server connection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311289787.3A CN117376204A (en) | 2023-10-08 | 2023-10-08 | Method for detecting network server connection |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117376204A true CN117376204A (en) | 2024-01-09 |
Family
ID=89392080
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311289787.3A Pending CN117376204A (en) | 2023-10-08 | 2023-10-08 | Method for detecting network server connection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117376204A (en) |
-
2023
- 2023-10-08 CN CN202311289787.3A patent/CN117376204A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11442803B2 (en) | Detecting and analyzing performance anomalies of client-server based applications | |
| US11671342B2 (en) | Link fault isolation using latencies | |
| US8166163B2 (en) | Server checking using health probe chaining | |
| US6625648B1 (en) | Methods, systems and computer program products for network performance testing through active endpoint pair based testing and passive application monitoring | |
| US7266758B2 (en) | Network monitoring program, network monitoring method, and network monitoring apparatus | |
| US7213179B2 (en) | Automated and embedded software reliability measurement and classification in network elements | |
| US8443074B2 (en) | Constructing an inference graph for a network | |
| CN110716842B (en) | Cluster fault detection method and device | |
| US20090052332A1 (en) | Device, system, method and program for collecting network fault information | |
| CN110224883B (en) | Gray fault diagnosis method applied to telecommunication bearer network | |
| WO2021128977A1 (en) | Fault diagnosis method and apparatus | |
| CA2493525A1 (en) | Method and apparatus for outage measurement | |
| CN106789445B (en) | Status polling method and system for network equipment in broadcast television network | |
| US20050204214A1 (en) | Distributed montoring in a telecommunications system | |
| CN107294767B (en) | Live broadcast network transmission fault monitoring method and system | |
| US20110122761A1 (en) | KPI Driven High Availability Method and apparatus for UMTS radio access networks | |
| CN108833168B (en) | Server cluster environment network system and stability detection method | |
| CN111865667B (en) | Network connectivity fault root cause positioning method and device | |
| US11652682B2 (en) | Operations management apparatus, operations management system, and operations management method | |
| CN117376204A (en) | Method for detecting network server connection | |
| JP2009199556A (en) | Communication monitoring device, communication monitoring method, computer program and system therefor | |
| KR100500836B1 (en) | Fault management system of metro ethernet network and method thereof | |
| JP2006067129A (en) | Method and apparatus of monitoring network | |
| CN107659445B (en) | Method for detecting device type in network in real time and network topology link calculation method | |
| CN117118873A (en) | Method, device, equipment and medium for detecting network service |
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 |