CN114500340B - Intelligent scheduling distributed path calculation method and system - Google Patents
Intelligent scheduling distributed path calculation method and system Download PDFInfo
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- CN114500340B CN114500340B CN202111590170.6A CN202111590170A CN114500340B CN 114500340 B CN114500340 B CN 114500340B CN 202111590170 A CN202111590170 A CN 202111590170A CN 114500340 B CN114500340 B CN 114500340B
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- 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
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- 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
- H04L43/12—Network monitoring probes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
Abstract
The invention discloses an intelligent scheduling distributed path calculation method and system, wherein the method comprises the following steps: the detection server initiates a detection data request; the intelligent scheduling platform acquires heartbeat detection results of the central path computation server clusters in each region from the monitoring platform, and if the heartbeat detection results of the target central path computation server clusters in the region where the detection servers are located are normal, the detection data request is scheduled to the target central path computation server clusters; and the switch in the target central path computing server cluster dispatches the probe data request to a central path computing server according to a load balancing mode so as to store the probe data through the central path computing server and synchronize the probe data to the central path computing server clusters in other areas. According to the technical scheme, the processing efficiency of the detection request can be improved.
Description
Technical Field
The invention relates to the technical field of Internet, in particular to an intelligent scheduling distributed path calculation method and system.
Background
A traditional CDN (Content Delivery Network ) dynamically loads an intelligent routing system to dynamically request a user, periodically initiates a detection request mainly through a detection server, detects availability and network performance of a transit node and a source station of the CDN, and selects an optimal return source link according to a detection result. However, after the detection result is obtained, in order to reduce the calculation pressure of the detection server, the detection and routing function modules are usually separated into different servers or server clusters, a special server (generally, a high-configuration machine based on the border gateway protocol) is adopted for routing as a central path calculation server, the detection server reports the detection data to the central path calculation server, and the central path calculation server calculates a return source path according to the reported detection data, so as to select an optimal return source link.
In order to achieve high availability of central path computation, existing central path computation server architectures are server clusters only deployed in a certain area, and this way can cause problems of large delay and even failure in reporting probe data. In addition, once the machine room in the area is powered down or cut, the calculation of the optimal source return path cannot be performed. The method is characterized in that the method is deployed in a plurality of different areas, a main-standby architecture is adopted, the problem of power failure of a machine room in a certain area can be solved, but the probe data requests reported by the probe servers in the different areas cannot be scheduled nearby, and standby central path calculation servers are idle under most conditions, so that resources are wasted, the main-standby central path calculation server cluster cannot uniformly distribute the requests for reporting the probe data to the probe servers in the different areas, and the cluster is inconvenient to expand and change in follow-up.
Disclosure of Invention
In view of this, the embodiment of the invention provides an intelligent scheduling distributed path calculation method and system, which can improve the processing efficiency of a probe request.
The invention provides an intelligent scheduling distributed path calculation method, which comprises the following steps: the method comprises the steps that a detection server initiates a detection data request, wherein the detection data request comprises detection data obtained by detection of the detection server; the intelligent scheduling platform acquires heartbeat detection results of the central path computation server clusters in each region from the monitoring platform, and if the heartbeat detection results of the target central path computation server clusters in the region where the detection servers are located are normal, the detection data request is scheduled to the target central path computation server clusters; and the switch in the target central path computing server cluster dispatches the probe data request to a central path computing server according to a load balancing mode so as to store the probe data through the central path computing server and synchronize the probe data to the central path computing server clusters in other areas.
In one embodiment, each of the central path computation server clusters assigns a respective virtual IP address for external access, and a central path computation system formed by each of the central path computation server clusters is provided with a service domain name, wherein the service domain name is resolvable as the virtual IP address of the central path computation server cluster.
In one embodiment, the method further comprises: and if the heartbeat detection result of the target central path calculation server cluster in the area where the detection server is located is abnormal, dispatching the detection data request to other central path calculation server clusters of normal service.
In one embodiment, the scheduling the probe data request to a central path computation server by the switch in the target central path computation server cluster according to a load balancing manner includes: the switch sends a group packet to detect connectivity with each central path computation server at the back end, if one path fails, other paths replace the path to complete forwarding processing so as to realize route redundancy backup; and regularly monitoring whether the service of the central path computing server is normal or not through the script, and if the service is abnormal, setting the route from the switch to the central path computing server to be unreachable, wherein the switch does not schedule the probe data request to the central path computing server with unreachable route when performing probe data request scheduling.
In one embodiment, the method further comprises: and the central path computing application program deployed on the central path computing server stores the detection data into a local database, and the master-slave synchronization and backup of the detection data among different central path computing servers are realized through the database inside the central path computing server cluster.
In one embodiment, the central path computation server synchronizes the probe data into a cluster of central path computation servers of other regions in the following manner: and the central path computing server receiving the detection data initiates a request for reporting the detection data to virtual IP addresses of the central path computing server clusters of other areas, so that the central path computing server clusters of all areas acquire the same detection data, and synchronization of cross-cluster detection data is realized.
The invention also provides an intelligent dispatching distributed path computing system, which comprises a detection server, an intelligent dispatching platform, a monitoring platform and a central path computing server cluster, wherein: the detection server is used for initiating a detection data request, and the detection data request comprises detection data obtained by detection of the detection server; the intelligent scheduling platform is used for acquiring heartbeat detection results of the central path computation server clusters in each region from the monitoring platform, and scheduling the detection data request to the target central path computation server cluster if the heartbeat detection results of the target central path computation server clusters in the region where the detection servers are located are normal; the target central path computing server cluster is used for dispatching the probe data request to a central path computing server through a switch according to a load balancing mode so as to store the probe data through the central path computing server and synchronize the probe data to the central path computing server clusters of other areas.
In one embodiment, each of the central path computation server clusters assigns a respective virtual IP address for external access, and a central path computation system formed by each of the central path computation server clusters is provided with a service domain name, wherein the service domain name is resolvable as the virtual IP address of the central path computation server cluster.
In one embodiment, the switch is specifically further configured to: sending a group packet to detect connectivity with each central path computation server at the back end, if one path fails, replacing other paths to complete forwarding processing so as to realize route redundancy backup; and regularly monitoring whether the service of the central path computing server is normal or not through the script, and if the service is abnormal, setting the route to the central path computing server to be unreachable, wherein the probe data request is not scheduled to the central path computing server with unreachable route when being scheduled.
In one embodiment, the central path computation server receiving the probe data is further configured to: and initiating a probe data reporting request to virtual IP addresses of the central path computation server clusters of other areas, so that the central path computation server clusters of all areas acquire the same probe data, and synchronization of cross-cluster probe data is realized.
The technical scheme that this application provided possesses following technical effect at least:
1) The method can meet the requirement that the requests of the detection servers in different areas for reporting the detection data can be scheduled to the central path computation server clusters in the same area nearby preferentially, and the requests of the detection data reported by the detection servers are scheduled to the central path computation server clusters in other areas only when the central path computation server clusters in the same area are unavailable, so that the success rate of reporting the detection data can be improved, and the request delay of reporting the detection data is reduced;
2) The central path calculation service is realized in different places, namely, the central path calculation server clusters of all areas at the same time provide services at the same time, and the reporting detection data requests of the detection servers of different areas can be shared, so that the path calculation pressure of a single central path calculation server cluster is reduced. In addition, the cluster architecture of the remote multi-activity distributed central path computation server is convenient for subsequent capacity expansion and server update, and convenient for management and maintenance;
3) And the ECMP (Equal Cost Multi-path) technology of the switch is adopted to realize the load balancing scheduling in the central path computing server cluster, so that compared with the traditional LVS+Keepalied load balancing technology, the server resources for deploying LVS and Keepalied software are saved.
Drawings
The features and advantages of the present invention will be more clearly understood by reference to the accompanying drawings, which are illustrative and should not be construed as limiting the invention in any way, in which:
FIG. 1 is a schematic diagram showing steps of a method for intelligently scheduling distributed path computation in one embodiment of the invention;
FIG. 2 is a flow chart of a method of intelligent scheduling distributed path computation in one embodiment of the invention;
FIG. 3 is a schematic diagram of a distributed path computation system with intelligent scheduling in one embodiment of the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, based on the embodiments of the invention, which a person skilled in the art would obtain without making any inventive effort, are within the scope of the invention.
Referring to fig. 1, the method for calculating an intelligent scheduling distributed path provided in the present application may include the following steps.
S1: and the detection server initiates a detection data request, wherein the detection data request comprises detection data detected by the detection server.
S2: and the intelligent scheduling platform acquires heartbeat detection results of the central path calculation server clusters in each region from the monitoring platform, and schedules the detection data request to the target central path calculation server clusters if the heartbeat detection results of the target central path calculation server clusters in the region where the detection servers are located are normal.
S3: and the switch in the target central path computing server cluster dispatches the probe data request to a central path computing server according to a load balancing mode so as to store the probe data through the central path computing server and synchronize the probe data to the central path computing server clusters in other areas.
Referring to fig. 2, each central path computation server cluster is assigned a respective virtual IP address (Virtual IP address, VIP) for external access, and a central path computation system formed by the respective central path computation server clusters is provided with a service domain name, wherein the service domain name can be resolved into the virtual IP address of the central path computation server cluster. Specifically, after receiving the probe data request sent by the probe server, the domain name resolution server (Domain Name Server, DNS) can resolve to a central path computation server cluster under the central path computation system.
In one embodiment, a probe server in the area A initiates a probe data request to a central path computing system, and the request is preferentially scheduled to a central path computing server cluster in the same area A as the probe server through a DNS intelligent scheduling platform, so that the nearby scheduling of the probe data request is realized.
The monitoring platform regularly acquires and detects heartbeat detection results of the central path computation server clusters VIP of a plurality of areas such as A, B, the DNS intelligent scheduling platform acquires heartbeat detection results of the central path computation server clusters of each area, and once the heartbeat detection failure of the central path computation server clusters VIP which are scheduled nearby is found, the DNS intelligent scheduling platform switches to the central path computation server clusters of other normal services.
That is, in this embodiment, if the heartbeat detection result of the target central path computation server cluster in the area where the detection server is located is abnormal, the detection data request is scheduled to the central path computation server cluster of other normal services.
In one embodiment, after the probe data request arrives at the switch of the machine room in the area a, the packet is sent by the OSPF (Open Shortest Path First open shortest path first) load balancing technology (ECMP, equal cost multi-path routing) of the switch to probe connectivity with the real central path computing server at the back end, and if one path fails, the forwarding process is replaced by the other path to realize the route redundancy backup function. And (3) regularly monitoring whether the service of the central path computing server is normal or not through the script (including whether heartbeat detection is normal or not, whether a Redis application program port is monitored or not, and the like) and if the service is abnormal, modifying the route from the switch to the central path computing server through the routing software Quagga to the central path computing server is not reachable, so that the request is not scheduled to the central path computing server with abnormal service when the load of the switch is balanced and scheduled.
That is, the switch sends a packet to detect connectivity with each central path computation server at the back end, and if one path fails, the other paths replace the forwarding process to realize redundancy backup of the route. And regularly monitoring whether the service of the central path computing server is normal or not through the script, and if the service is abnormal, setting the route from the switch to the central path computing server to be unreachable, wherein the switch does not schedule the probe data request to the central path computing server with unreachable route when performing probe data request scheduling.
In one embodiment, a central path computing application program deployed on each central path computing server in the central path computing server cluster is responsible for receiving probe data reported by a probe server, storing the probe data into a local Redis application program (database), and implementing master-slave synchronization and backup of the probe data between different central path computing servers through the Redis application program in the cluster.
In this way, the central path computing application program deployed on the central path computing server stores the detection data into a local database, and master-slave synchronization and backup of the detection data among different central path computing servers are realized through the database inside the central path computing server cluster.
In one embodiment, after the probe data reported by the probe server is intelligently scheduled and the switch load is balanced and scheduled to a certain central path calculation server in the central path calculation server clusters in the same area, the central path calculation server clusters in other areas actively initiate a probe data request to the central path calculation server cluster VIP (virtual private plane) in other areas, so that the central path calculation server clusters in all areas can acquire the same probe data, and synchronization of the cross-cluster probe data is realized.
That is, the central path computing server receiving the probe data initiates a probe data reporting request to the virtual IP address of the central path computing server cluster of other areas, so that the central path computing server clusters of all areas acquire the same probe data, and synchronization of the cross-cluster probe data is realized.
In a specific application example, the technical solution of the present application may be executed according to the following steps:
1) The detection server periodically initiates detection requests to the CDN transit node and the source station to acquire detection data;
2) Reporting the detection data to a central path computing system in an http request mode;
3) The DNS intelligent scheduling platform calculates heartbeat detection results of the server cluster VIP according to the region where the detection server IP for sending the detection data request is located and by combining the central path calculation server cluster VIP in all regions acquired from the monitoring platform, and if heartbeat detection of the central path calculation server cluster VIP in the same region as the detection server is normal, the nearby scheduling for reporting the detection data request is realized by modifying the analysis of the service domain name of the central path calculation system; otherwise, dispatching the request to a central path computation server cluster in other areas;
4) After a probe data request reported by a probe server reaches a machine room of a central path computation server cluster, the service condition of the central path computation server is monitored at regular time by an OSPF+ECMP load balancing technology of a machine room switch, so that load balancing scheduling in the central path computation server cluster is realized, and the central path computation server with abnormal service is removed in time and does not participate in the load balancing scheduling of the switch;
5) After the central path computing application program deployed on each central path computing server in the cluster finally receives the detection data reported by the detection server, the detection data are stored in the Redis of the local machine, and master-slave synchronization and backup of the detection data among different central path computing servers are realized through the Redis application program in the cluster; and meanwhile, the self-received detection data is sent to the central path computation server clusters VIP of other areas in an http request mode, so that the central path computation server clusters of all areas can acquire the same detection data, and synchronization of cross-cluster detection data is realized.
Referring to fig. 3, the present application further provides an intelligent scheduling distributed path computing system, where the system includes a probe server, an intelligent scheduling platform, a monitoring platform, and a central path computing server cluster, where:
the detection server is used for initiating a detection data request, and the detection data request comprises detection data obtained by detection of the detection server;
the intelligent scheduling platform is used for acquiring heartbeat detection results of the central path computation server clusters in each region from the monitoring platform, and scheduling the detection data request to the target central path computation server cluster if the heartbeat detection results of the target central path computation server clusters in the region where the detection servers are located are normal;
the target central path computing server cluster is used for dispatching the probe data request to a central path computing server through a switch according to a load balancing mode so as to store the probe data through the central path computing server and synchronize the probe data to the central path computing server clusters of other areas.
In one embodiment, each of the central path computation server clusters assigns a respective virtual IP address for external access, and a central path computation system formed by each of the central path computation server clusters is provided with a service domain name, wherein the service domain name is resolvable as the virtual IP address of the central path computation server cluster.
In one embodiment, the switch is specifically further configured to:
sending a group packet to detect connectivity with each central path computation server at the back end, if one path fails, replacing other paths to complete forwarding processing so as to realize route redundancy backup;
and regularly monitoring whether the service of the central path computing server is normal or not through the script, and if the service is abnormal, setting the route to the central path computing server to be unreachable, wherein the probe data request is not scheduled to the central path computing server with unreachable route when being scheduled.
In one embodiment, the central path computation server receiving the probe data is further configured to: and initiating a probe data reporting request to virtual IP addresses of the central path computation server clusters of other areas, so that the central path computation server clusters of all areas acquire the same probe data, and synchronization of cross-cluster probe data is realized.
The technical scheme that this application provided possesses following technical effect at least:
1) The method can meet the requirement that the requests of the detection servers in different areas for reporting the detection data can be scheduled to the central path computation server clusters in the same area nearby preferentially, and the requests of the detection data reported by the detection servers are scheduled to the central path computation server clusters in other areas only when the central path computation server clusters in the same area are unavailable, so that the success rate of reporting the detection data can be improved, and the request delay of reporting the detection data is reduced;
2) The central path calculation service is realized in different places, namely, the central path calculation server clusters of all areas at the same time provide services at the same time, and the reporting detection data requests of the detection servers of different areas can be shared, so that the path calculation pressure of a single central path calculation server cluster is reduced. In addition, the cluster architecture of the remote multi-activity distributed central path computation server is convenient for subsequent capacity expansion and server update, and convenient for management and maintenance;
3) And the ECMP (Equal Cost Multi-path) technology of the switch is adopted to realize the load balancing scheduling in the central path computing server cluster, so that compared with the traditional LVS+Keepalied load balancing technology, the server resources for deploying LVS and Keepalied software are saved.
It will be appreciated by those skilled in the art that implementing all or part of the above-described methods in the embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and where the program may include the steps of the embodiments of the methods described above when executed. Wherein the storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory (Flash Memory), a Hard Disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.
Claims (8)
1. An intelligent scheduling distributed path calculation method, which is characterized by comprising the following steps:
the method comprises the steps that a detection server initiates a detection data request, wherein the detection data request comprises detection data obtained by detection of the detection server;
the intelligent scheduling platform acquires heartbeat detection results of the central path computation server clusters in each region from the monitoring platform, and if the heartbeat detection results of the target central path computation server clusters in the region where the detection servers are located are normal, the detection data request is scheduled to the target central path computation server clusters;
the switch in the target central path computing server cluster dispatches the probe data request to a central path computing server according to a load balancing mode so as to store the probe data through the central path computing server and synchronize the probe data to the central path computing server clusters in other areas;
wherein each central path computation server cluster is allocated with a respective virtual IP address for external access, and a central path computation system formed by each central path computation server cluster is provided with a service domain name, wherein the service domain name can be resolved into the virtual IP address of the central path computation server cluster.
2. The method according to claim 1, wherein the method further comprises:
and if the heartbeat detection result of the target central path calculation server cluster in the area where the detection server is located is abnormal, dispatching the detection data request to other central path calculation server clusters of normal service.
3. The method of claim 1, wherein the scheduling the probe data request to one central path computation server by the switches in the target central path computation server cluster in a load balancing manner comprises:
the switch sends a group packet to detect connectivity with each central path computation server at the back end, if one path fails, other paths replace the path to complete forwarding processing so as to realize route redundancy backup;
and regularly monitoring whether the service of the central path computing server is normal or not through the script, and if the service is abnormal, setting the route from the switch to the central path computing server to be unreachable, wherein the switch does not schedule the probe data request to the central path computing server with unreachable route when performing probe data request scheduling.
4. The method according to claim 1, wherein the method further comprises:
and the central path computing application program deployed on the central path computing server stores the detection data into a local database, and the master-slave synchronization and backup of the detection data among different central path computing servers are realized through the database inside the central path computing server cluster.
5. The method of claim 1, wherein the central path computation server synchronizes the probe data into a cluster of central path computation servers of other regions in the following manner:
and the central path computing server receiving the detection data initiates a request for reporting the detection data to virtual IP addresses of the central path computing server clusters of other areas, so that the central path computing server clusters of all areas acquire the same detection data, and synchronization of cross-cluster detection data is realized.
6. An intelligent scheduling distributed path computation system, comprising a probe server, an intelligent scheduling platform, a monitoring platform, and a central path computation server cluster, wherein:
the detection server is used for initiating a detection data request, and the detection data request comprises detection data obtained by detection of the detection server;
the intelligent scheduling platform is used for acquiring heartbeat detection results of the central path computation server clusters in each region from the monitoring platform, and scheduling the detection data request to the target central path computation server cluster if the heartbeat detection results of the target central path computation server clusters in the region where the detection servers are located are normal;
the target central path computation server cluster is used for dispatching the probe data request to a central path computation server through a switch in a load balancing mode so as to store the probe data through the central path computation server and synchronize the probe data to the central path computation server clusters of other areas;
wherein each central path computation server cluster is allocated with a respective virtual IP address for external access, and a central path computation system formed by each central path computation server cluster is provided with a service domain name, wherein the service domain name can be resolved into the virtual IP address of the central path computation server cluster.
7. The system according to claim 6, wherein the switch is further specifically configured to:
sending a group packet to detect connectivity with each central path computation server at the back end, if one path fails, replacing other paths to complete forwarding processing so as to realize route redundancy backup;
and regularly monitoring whether the service of the central path computing server is normal or not through the script, and if the service is abnormal, setting the route to the central path computing server to be unreachable, wherein the probe data request is not scheduled to the central path computing server with unreachable route when being scheduled.
8. The system of claim 6, wherein the central path computation server receiving the probe data is further configured to: and initiating a probe data reporting request to virtual IP addresses of the central path computation server clusters of other areas, so that the central path computation server clusters of all areas acquire the same probe data, and synchronization of cross-cluster probe data is realized.
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