CN113518043A - Network monitoring method based on software definition - Google Patents
Network monitoring method based on software definition Download PDFInfo
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- CN113518043A CN113518043A CN202110606270.7A CN202110606270A CN113518043A CN 113518043 A CN113518043 A CN 113518043A CN 202110606270 A CN202110606270 A CN 202110606270A CN 113518043 A CN113518043 A CN 113518043A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2441—Traffic characterised by specific attributes, e.g. priority or QoS relying on flow classification, e.g. using integrated services [IntServ]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/12—Avoiding congestion; Recovering from congestion
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2425—Traffic characterised by specific attributes, e.g. priority or QoS for supporting services specification, e.g. SLA
- H04L47/2433—Allocation of priorities to traffic types
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2483—Traffic characterised by specific attributes, e.g. priority or QoS involving identification of individual flows
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- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention provides a network monitoring method based on software definition, which comprises the following steps: setting a mark for network service data by an SDN controller, monitoring whole network link information and setting network service parameters, wherein the whole network link information comprises one or more of link state information, link bandwidth, congestion degree, flow information and flow information; calculating an optimal path by the SDN controller according to the link information of the whole network obtained by monitoring, setting one or more flow table forwarding queues for the network service and distributing weight, and binding the network service to one or more forwarding queues according to network service parameters, thereby generating corresponding rules and commands and issuing the rules and commands to physical equipment in the network; and the physical equipment acquires and updates and stores the rule issued by the SDN controller, matches and forwards the flow data of the network service according to the rule, and forwards the flow data by a default forwarding queue if the flow data which is not matched exists.
Description
Technical Field
The invention belongs to the technical field of networks, and particularly relates to a network monitoring method based on software definition.
Background
Queue scheduling is an important technology for network monitoring management and also an important means for realizing network QoS (quality of service) control. In network monitoring, the topological state, the service quantity and the flow distribution are changed frequently, and the algorithm parameters need to be adjusted frequently. The traditional configuration mode has the problems of high labor and time cost, complex configuration and the like under frequent operation, and a scheduling algorithm based on time delay and a scheduling algorithm based on a service curve theory are too complex and can be deployed in commercial switching equipment rarely.
Therefore, the traffic monitoring and control of the network using the above algorithm in the conventional network has the following problems: the traditional queue scheduling algorithm is difficult to realize fine-grained flow control; static parameter configurations are not suitable for dynamic network traffic demands. It can be seen that it is difficult to provide guarantees for services in a network using the traffic monitoring and control techniques described above in conventional networks.
Disclosure of Invention
In view of the above, the first aspect of the present invention is to provide a network monitoring method based on software definition. The problems of the prior art can be overcome.
The purpose of the first aspect of the invention is realized by the following technical scheme:
a network monitoring method based on software definition comprises the following steps:
step S1: setting a mark for network service data by an SDN controller, monitoring whole network link information and setting network service parameters, wherein the whole network link information comprises whole network resource information, flow information and flow classification information;
step S2: generating a network topology by the whole network resource information, calculating an optimal path by combining flow information and flow classification information, setting one or more flow table forwarding queues for the network service and distributing weight, binding the network service to one or more forwarding queues according to network service parameters, generating corresponding rules and commands, and issuing the rules and commands to physical equipment in the network in a flow table form;
step S3: and the physical equipment acquires, updates and stores the flow table, matches and forwards the flow data of the network service according to the rule, and forwards the flow data by using a default forwarding queue if the flow data which cannot be matched exists.
Further, the whole network resource information includes link state information, link bandwidth, and congestion degree.
Further, the physical device performs self-checking, and requests to send a request to an SDN controller if a flow table is not set.
Further, the method also comprises the following steps: and step S4, the SDN controller analyzes the acquired flow data, compares the analysis result with preset network service parameters, and reselects a forwarding queue from the originally set forwarding queues if the forwarding queues of the network service are found not to conform to the set network service parameters.
Further, the SDN controller identifies and classifies the network service data according to the analysis result of the flow data.
Further, according to the analysis result of the flow data, the delay and packet loss conditions of the flow data in the network are obtained, and the SDN controller performs network flow control by combining the bandwidth, the delay, the packet loss and the user setting parameters in the network.
Another object of the present invention is to provide a computer device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and sets a flag for network service data, monitors link information of a whole network, and sets a network service parameter by using an SDN controller, where the processor implements the method when executing the computer program.
It is a further object of the present invention to provide a computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the method as set forth above.
The invention has the beneficial effects that: the advantages of SDN centralized optimization control, whole network perception monitoring and flexible and agile management are combined with the traditional multi-queue scheduling mechanism and network monitoring technology, and the bandwidth and the time delay of the service flow are ensured by using a congestion control strategy. The programmable switch is used for fine-grained management of the service flow, and a personalized flow table issuing mechanism is matched, so that dynamic adjustment of service transmission bandwidth and service flow grade and centralized, real-time and fine management of the service flow are realized, and high-certainty bandwidth and time delay guarantee is provided for the exchange service in the network.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the present invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings, in which:
fig. 1 is a schematic diagram of a network architecture to which the present invention is applied.
FIG. 2 is a flow chart of the method of the present invention.
Detailed Description
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are illustrative of the invention only and are not limiting upon the scope of the invention.
As shown in fig. 1, a network monitoring method based on software definition of the present invention includes the following steps:
step S1: setting a mark for network service data by an SDN controller, monitoring whole network link information and setting network service parameters, wherein the whole network link information comprises whole network resource information, flow information and flow classification information, and the whole network resource information comprises link state information, link bandwidth and congestion degree;
step S2: generating network topology by the whole network resource information, calculating an optimal path by combining flow information and flow classification information, setting one or more flow table forwarding queues for network services and distributing weights, and binding the network services to one or more forwarding queues according to network service parameters, thereby generating corresponding rules and commands and issuing the rules and commands to physical equipment in the network;
step S3: the method comprises the steps that a physical device obtains and updates and stores rules issued by an SDN controller, matches and forwards flow data of network services according to the rules, and forwards the flow data in a default forwarding queue if the flow data which cannot be matched exists; the physical equipment performs self-checking, and requests to be issued to an SDN controller if a flow table is not set;
step S4: and the SDN controller analyzes the acquired flow data, compares the analysis result with preset network service parameters, and reselects a forwarding queue from the originally set forwarding queues if the forwarding queues of the network service are found to be not in accordance with the set network service parameters.
The SDN controller identifies and classifies the network service data according to the analysis result of the flow data, obtains the delay and packet loss conditions of the flow data in the network according to the analysis result of the flow data, and then performs network flow control by combining the bandwidth, delay, packet loss and user setting parameters in the network.
The flow monitoring method is based on a network topology formed by an SDN controller, physical equipment (switch), a terminal and a server, the SDN controller sets network services according to parameters set by a user and monitors data of the physical equipment, and original service data processing of the physical equipment is not influenced.
The SDN controller monitors link bandwidth and congestion degree, analyzes traffic data, identifies and classifies application data according to analysis results, finally obtains analysis results of all application data of a network, classifies and summarizes the results, sets a forwarding queue in service, can analyze delay and packet loss conditions of the application data in the network according to the data, and combines information such as bandwidth, delay, packet loss and user setting in the network to realize network flow control.
The invention is characterized in that:
1) the SDN controller introduces a plurality of stages of flow table forwarding queues, divides network services into different flow table forwarding queues and sets priorities, and binds the network services with one or more forwarding queues and service quality rules;
2) the physical device transmits the network flow data to a set queue according to the instruction, selects different service quality rules for the queue, adopts different service priorities and forwarding queue priorities, and selects different forwarding queues according to different priorities.
3) The SDN controller performs service monitoring, user service data monitoring, delay analysis, bandwidth analysis, packet loss and other information, plans different links, binds different forwarding queues and realizes network flow control.
4) Setting a user-defined service interface: the SDN controller can issue rules and commands to the physical equipment through a user-defined service interface, monitor flow data and monitor data of a certain user, and the SDN controller can acquire service operation conditions of the user in real time in such a way
5) The SDN controller adopts centralized management and control network physical equipment, the global view can be rapidly and accurately scheduled, the setting can be carried out according to global service, global scheduling is realized, efficiency is high, and real-time performance is achieved.
6) The SDN controller can comprehensively and unleasedly identify and classify various network service data in the network, mark the network service data with a certain mark and forward a certain service queue for processing.
It should be noted that any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and that the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, and the program may be stored in a computer readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (8)
1. A network monitoring method based on software definition is characterized in that: the method comprises the following steps:
step S1: setting a mark for network service data by an SDN controller, monitoring whole network link information and setting network service parameters, wherein the whole network link information comprises whole network resource information, flow information and flow classification information;
step S2: generating a network topology by the whole network resource information, calculating an optimal path by combining flow information and flow classification information, setting one or more flow table forwarding queues for the network service and distributing weight, binding the network service to one or more forwarding queues according to network service parameters, generating corresponding rules and commands, and issuing the rules and commands to physical equipment in the network in a flow table form;
step S3: and the physical equipment acquires, updates and stores the flow table, matches and forwards the flow data of the network service according to the rule, and forwards the flow data by using a default forwarding queue if the flow data which cannot be matched exists.
2. The software-defined-based network monitoring method of claim 1, wherein: the whole network resource information comprises link state information, link bandwidth and congestion degree.
3. The software-defined-based network monitoring method of claim 1, wherein: and the physical equipment performs self-checking, and requests to be issued to the SDN controller if a flow table is not set.
4. The software-defined-based network monitoring method according to claim 1, further comprising the steps of: and step S4, the SDN controller analyzes the acquired flow data, compares the analysis result with preset network service parameters, and reselects a forwarding queue from the originally set forwarding queues if the forwarding queues of the network service are found not to conform to the set network service parameters.
5. The software-defined-based network monitoring method of claim 4, wherein: and the SDN controller identifies and classifies the network service data according to the analysis result of the flow data.
6. The software-defined-based network monitoring method of claim 4, wherein: and obtaining the delay and packet loss conditions of the flow data in the network according to the analysis result of the flow data, and performing network flow control by the SDN controller in combination with the bandwidth, delay, packet loss and user set parameters in the network.
7. A computer apparatus comprising a memory, a processor, and a computer program stored on the memory and capable of running on the processor, wherein: setting a flag for network service data, monitoring link information of the whole network and setting network service parameters by using an SDN controller, wherein the processor executes the computer program to realize the method of any one of claims 1 to 6.
8. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program, when executed by a processor, implements the method of any one of claims 1-6.
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