Implementation method for avoiding container port starting conflict

Abstract

The invention discloses an implementation method for avoiding a container port starting conflict. The implementation method comprises the following steps: S1, randomly generating a port number; s2, sending the port number to each node for occupancy detection; s3, acquiring the occupation condition of the detection port; s4, a detection result is returned to the scheduler; s5, the scheduler summarizes all the detection results; and S6, repeatedly detecting until an available port is found. Effective allocation and management of available ports becomes a key problem in container scheduling.

Description

Technical Field

[0001] The present invention relates to the technical field of containerization, and in particular to an implementation method for avoiding container port startup conflicts. Background Art

[0002] In containerization technology, the communication between containers and external business systems usually relies on port mapping. When a container starts, it needs to bind to specific ports. These ports may conflict with occupied ports on the host, which may cause the container to fail to start or not work properly. Especially in large-scale cluster deployments, multiple containers may need to bind to multiple ports at the same time, which further increases the probability of port conflicts. To solve this problem, how to effectively allocate and manage available ports has become a key issue in container scheduling.

[0003] Defects and shortcomings of existing technologies: Currently, there are mainly the following methods to resolve container startup port conflicts:

[0004] 1. Static port allocation: By planning and configuring static ports in advance, ensure that the ports bound to each container do not conflict when it starts.

[0005] The disadvantages of this approach are:

[0006] aManual configuration is required, which increases the workload of operation and maintenance.

[0007] bAs the system scale expands, static port planning becomes complex and prone to errors.

[0008] cStatic configuration cannot cope with dynamically changing requirements.

[0009] 2. Port range configuration: allows a port range to be defined in the configuration file, and a port is randomly selected when the container starts. Although this method provides some flexibility, there are still problems:

[0010] aThe randomly selected port may already be occupied and conflicts cannot be avoided.

[0011] b. Lack of real-time port occupation detection mechanism, which may cause multiple containers to try to bind to the same port.

[0012] 3. Third-party service management port allocation: Use a central service or scheduler (such as Kubernetes' NodePort) to allocate and manage ports. Although it can reduce conflicts, it also has the following disadvantages:

[0013] aIncreases the complexity of the system and relies on external services.

[0014] bIt is not fully applicable to certain scenarios (such as independent private clusters or non-Kubernetes environments). Summary of the invention

[0015] In view of the above problems, the present invention is proposed to provide an implementation method for avoiding container port startup conflicts that overcomes the above problems or at least partially solves the above problems.

[0016] According to one aspect of the present invention, a method for avoiding container port startup conflicts is provided, the method comprising:

[0017] Step S1: Randomly generate a port number;

[0018] Step S2: sending the port number to each node for occupancy detection;

[0019] Step S3: Obtain the occupancy status of the detection port;

[0020] Step S4: Return the detection result to the scheduler;

[0021] Step S5: the scheduler summarizes all the detection results;

[0022] Step S6: Repeat the detection until an available port is found.

[0023] Optionally, the step S1: randomly generating a port number specifically includes:

[0024] Step S1.1: When the scheduler starts a container, it allocates a port to the container;

[0025] Step S1.2: The randomly generated port number should be within the range allowed by the operating system to ensure that there is no conflict with the port reserved by the system.

[0026] Optionally, the step S1.1: when the scheduler starts the container, allocating a port to the container specifically includes:

[0027] To avoid port conflicts, a port number between 1024 and 65535 is generated using a random generation algorithm.

[0028] Optionally, the step S2: sending the port number to each node for occupancy detection specifically includes:

[0029] After generating the port number, the scheduler sends the port number to all relevant nodes in the cluster;

[0030] Distribute through API calls or message queues;

[0031] After receiving the port number, the detection service on each node starts to check whether the port is already occupied by other services or processes in the current system.

[0032] Optionally, the step S3: obtaining the detection port occupancy status specifically includes:

[0033] Step S3.1: On each node, the port detection service obtains a list of all currently listening ports through system tools;

[0034] Step S3.2: The detection service checks whether the generated port number appears in the list of these listening ports;

[0035] If the port is already in use, the port is considered unavailable; if not, the port is considered available;

[0036] Step S3.3: The detection service checks multiple ports simultaneously, or performs multiple port detections in a non-blocking manner.

[0037] Optionally, the step S4: returning the detection result to the scheduler specifically includes:

[0038] Step S4.1: After each node is detected, the detection result is returned to the scheduler;

[0039] Step S4.2: If the port is occupied, the node returns to the occupied state; if the port is not occupied, it returns to the available state.

[0040] Optionally, returning the detection result to the scheduler specifically includes: returning the result via HTTP request or RPC call.

[0041] Optionally, the step S5: the scheduler summarizing all the detection results specifically includes:

[0042] Step S5.1: After receiving the detection results of all nodes, the scheduler summarizes and analyzes them. If all nodes return available, it means that the port is available in the entire cluster, and the scheduler allocates the port to the container;

[0043] Step S5.2: If one or more nodes return to the occupied state, the scheduler considers the port unavailable, discards the current port number, and returns to step S1 to regenerate a new random port number for detection.

[0044] Optionally, the step S6: repeatedly detecting until an available port is found specifically includes:

[0045] Step S6.1: If a port is occupied, the scheduler will repeatedly generate a new port number and perform the test again, and continue until an unoccupied port number is found;

[0046] Step S6.2: The scheduler sets a maximum retry limit.

[0047] The present invention provides a method for avoiding container port startup conflicts, the method comprising: step S1: randomly generating a port number; step S2: sending the port number to each node for occupancy detection; step S3: obtaining the occupancy of the detected port; step S4: returning the detection result to the scheduler; step S5: the scheduler summarizes all the detection results; step S6: repeating the detection until an available port is found. Effectively allocating and managing available ports has become a key issue in container scheduling.

[0048] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0050] Figure 1 A flowchart of a method for avoiding container port startup conflicts provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0052] The terms "comprises" and "having" and any variations thereof in the description embodiments, claims and drawings of the present invention are intended to cover non-exclusive inclusions, for example, including a series of steps or units.

[0053] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0054] like Figure 1 As shown, a method for avoiding container port startup conflicts includes:

[0055] Step S1. Randomly generate a port number, including:

[0056] Step S1.1: When the scheduler starts a container, it first needs to allocate a port for the container. To avoid port conflicts, a random generation algorithm is used to generate a port number between 1024 and 65535.

[0057] The randomly generated port number in step S1.2 should be within the range allowed by the operating system to ensure that there is no conflict with the reserved port of the system (usually 0-1023).

[0058] Step S2. Send the port number to each node for occupancy detection

[0059] After the port number is generated in step S2.1, the scheduler needs to send the port number to all relevant nodes in the cluster. This can be distributed through API calls or message queues.

[0060] Step S2.2: After receiving the port number, the detection service on each node starts to check whether the port is already occupied by other services or processes in the current system.

[0061] Step S3. Detect port occupancy

[0062] Step S3.1 On each node, the port detection service obtains a list of all currently listening ports through system tools.

[0063] Step S3.2: The detection service checks whether the generated port number appears in the list of listening ports. If the port is already in use, the port is considered unavailable; if not, the port is considered available.

[0064] Step S3.3: If the detection efficiency needs to be improved, the detection service can check multiple ports at the same time, or perform multiple port detections in a non-blocking manner.

[0065] Step S4. Return the test results

[0066] Step S4.1 After each node is detected, the detection result is returned to the scheduler. The result can be returned through HTTP request, RPC call, etc.

[0067] Step S4.2: If the port is occupied, the node returns to the "occupied" state; if the port is not occupied, it returns to the "available" state.

[0068] Step S5. Scheduler summarizes the results

[0069] Step S5.1 After the scheduler receives the detection results of all nodes, it summarizes and analyzes them. If all nodes return "available", it means that the port is available in the entire cluster, and the scheduler can allocate this port to the container.

[0070] In step S5.2, if one or more nodes return to the "occupied" state, the scheduler considers the port unavailable, discards the current port number, and returns to step 1 to regenerate a new random port number for detection.

[0071] Step S6. Repeat the detection until an available port is found

[0072] Step S6.1: If a port is occupied, the scheduler will repeatedly generate a new port number and perform the test again. This process will continue until an unoccupied port number is found.

[0073] Step S6.2: To prevent an infinite loop, the scheduler can set a maximum retry count limit.

[0074] Beneficial effects:

[0075] Efficient and automated: Through random generation and real-time detection, the complexity of manual configuration and conflict checking is greatly reduced.

[0076] Distributed detection: Perform port occupancy checks on each node to ensure the accuracy of port allocation and system reliability.

[0077] Strong dynamic adaptability: It is suitable for dynamically changing environments and can adapt to resource changes on nodes in real time to avoid port conflicts.

[0078] The above specific implementation methods further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above are only specific implementation methods of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for avoiding container port startup conflicts, characterized in that: The implementation method includes: Step S1: Randomly generate a port number; Step S2: sending the port number to each node for occupancy detection; Step S3: Obtain the occupancy status of the detection port; Step S4: Return the detection result to the scheduler; Step S5: the scheduler summarizes all the detection results; Step S6: Repeat the detection until an available port is found.

2. A method for avoiding container port startup conflicts according to claim 1, characterized in that: The step S1: randomly generating a port number specifically includes: Step S1.1: When the scheduler starts a container, it allocates a port to the container; Step S1.2: The randomly generated port number should be within the range allowed by the operating system to ensure that there is no conflict with the port reserved by the system.

3. A method for avoiding container port startup conflicts according to claim 2, characterized in that: The step S1.1: when the scheduler starts the container, allocating a port to the container specifically includes: To avoid port conflicts, a random generation algorithm is used to generate a port number between 1024 and 65535.

4. The method for avoiding container port startup conflicts according to claim 1, characterized in that: The step S2: sending the port number to each node for occupancy detection specifically includes: After generating the port number, the scheduler sends the port number to all relevant nodes in the cluster; Distribute through API calls or message queues; After receiving the port number, the detection service on each node starts to check whether the port is already occupied by other services or processes in the current system.

5. The method for avoiding container port startup conflicts according to claim 1, characterized in that: The step S3: obtaining the detection port occupancy status specifically includes: Step S3.1: On each node, the port detection service obtains a list of all currently listening ports through system tools; Step S3.2: The detection service checks whether the generated port number appears in the list of these listening ports; If the port is already in use, the port is considered unavailable; if not, the port is considered available; Step S3.3: The detection service checks multiple ports simultaneously, or performs multiple port detections in a non-blocking manner.

6. A method for avoiding container port startup conflicts according to claim 1, characterized in that: The step S4: returning the detection result to the scheduler specifically includes: Step S4.1: After each node is detected, the detection result is returned to the scheduler; Step S4.2: If the port is occupied, the node returns to the occupied state; if the port is not occupied, it returns to the available state.

7. A method for avoiding container port startup conflicts according to claim 6, characterized in that: The returning the detection result to the scheduler specifically includes: returning the result through HTTP request or RPC call.

8. The method for avoiding container port startup conflicts according to claim 1, characterized in that: The step S5: the scheduler summarizes all the detection results and specifically includes: Step S5.1: After receiving the detection results of all nodes, the scheduler summarizes and analyzes them. If all nodes return available, it means that the port is available in the entire cluster, and the scheduler allocates the port to the container; Step S5.2: If one or more nodes return to the occupied state, the scheduler considers the port unavailable, discards the current port number, and returns to step S1 to regenerate a new random port number for detection.

9. The method for avoiding container port startup conflicts according to claim 1, characterized in that: The step S6: repeating the detection until an available port is found specifically includes: Step S6.1: If a port is occupied, the scheduler will repeatedly generate a new port number and perform the test again, and continue until an unoccupied port number is found; Step S6.2: The scheduler sets a maximum retry limit.

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