CN115208841B - SDN-based industrial Internet identification flow caching processing method - Google Patents
SDN-based industrial Internet identification flow caching processing method Download PDFInfo
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L49/00—Packet switching elements
- H04L49/20—Support for services
- H04L49/208—Port mirroring
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L49/00—Packet switching elements
- H04L49/60—Software-defined switches
- H04L49/602—Multilayer or multiprotocol switching, e.g. IP switching
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L49/00—Packet switching elements
- H04L49/70—Virtual switches
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L49/00—Packet switching elements
- H04L49/90—Buffering arrangements
Abstract
The invention provides an industrial Internet identification flow caching method based on SDN, which is characterized in that on the basis of not affecting the configuration of an original identification client, based on an existing identification service analysis system, a SDN mechanism is utilized to introduce request flow into caching equipment, and a single machine mode and a main mode and a standby mode are provided; the industrial Internet identification data caching target algorithm based on SDN is also provided, a caching target is calculated, and the caching hit rate is improved; and meanwhile, the use condition of the cache is dynamically perceived, and when the storage capacity of the cache is insufficient, the automatic capacity expansion operation of the equipment is carried out according to the preset. The invention issues a strategy according to parameter setting, takes over the identification request flow, does not modify the configuration of the identification client, and introduces the flow needing to be cached into the caching device; the invention optimizes the service performance of the identification data management system when dealing with massive identification analysis requests, improves the response speed and reduces the access time delay.
Description
The application is a divisional application with the application number 2021107791386 applied by the applicant Jiangsu province future network innovation institute on the application date 2021-07-09.
Technical Field
The invention relates to the field of industrial Internet identification request service, in particular to an SDN-based industrial Internet identification flow caching processing method.
Background
The industrial Internet is a key infrastructure for linking industrial whole systems, whole industrial chains and whole value chains and supporting intelligent development of industries, is an emerging state and application mode formed by deep fusion of new generation information technology and manufacturing industry, is a core carrier for expanding the Internet from the consumption field to the production field and from virtual economy to entity economy, and is also a high point of new industrial competition worldwide. At present, the domestic industrial internet identification analysis system is already in online operation at the end of 2018. The system is a key infrastructure for realizing interconnection of the whole network and is a key for data circulation. It has become the entrance of each industry or regional enterprise to access the industrial internet, and it is the first step for the platform application to acquire data. The system is an important component of the industrial Internet, is a key hub for realizing information intercommunication of all industrial elements and links, and is one of core infrastructures for safe operation of the industrial Internet.
The identification data of the industrial Internet greatly exceeds the existing Internet identification data, the industrial Internet identification data management system is required to have extremely high performance and reliability, and lower analysis time delay is required to be ensured for specific scenes such as flexible manufacturing in factories.
The current industrial Internet identification data analysis management system basically adopts a traditional network architecture, and when nodes face massive identification analysis data requests, the pressure is too high and the nodes are difficult to support. According to the SDN-based identification request flow caching method, the edge computing nodes and the identification analysis system are designed to be interconnected, the caching equipment is deployed on the cloud computing platform of the edge computing nodes, and the identification code analysis result is cached, so that access delay can be effectively reduced. And calculating the most worth of target data to be cached through a cache target algorithm, and improving the cache hit rate. The capacity expansion operation can be more conveniently carried out based on the cache equipment established by the cloud platform.
Disclosure of Invention
Aiming at the industrial Internet identification data management service, when massive identification analysis request flow is faced, the invention has the scene that the pressure is too high and the request cannot be responded in time. In order to achieve the above purpose, the invention adopts the following technical scheme:
the invention provides a processing method of an identification request flow cache based on SDN, which is characterized by comprising infrastructure establishment and cache creation management; the infrastructure establishment is based on the existing identification service analysis system on the basis of not affecting the original identification client configuration, and a SDN mechanism is utilized to introduce request traffic into the cache device; the cache creation management is to record specific information of the cache equipment and provide environment data basis for subsequent identification flow drainage.
The infrastructure construction comprises the steps of adjusting the existing identification node server deployment mode and creating cache equipment, wherein the construction mode specifically comprises the following steps:
s1: directly connecting the identification server with the traditional two-layer switch, and changing the traditional two-layer switch into a direct SDN switch; the identification analysis request initiated by the client is directly connected with the SDN switch through the two-layer switch of the secondary node from the Internet; all traffic is managed by the SDN switch;
s2: the method comprises the steps that a cache device is built on a cloud computing platform by adopting a prepared cache mirror image, the cache mirror image is divided into a main cache and a standby cache, 1 single machine mode is built, and 2 main modes are built; creating an SDN virtual switch on a cloud platform, and generally using an OVS mirror image; creating a link from the caching device to the OVS, and enabling the identification request flow to reach the caching device through the OVS switch;
s3: creating a tunnel between the SDN physical switch and the virtual switch, enabling the identification request flow to enter the caching device through the tunnel, and returning the caching result through the tunnel.
The cache creation management is to record specific information of cache equipment in an infrastructure, wherein the specific information of the cache equipment in the infrastructure comprises a management port floating IP of the cache equipment, a cache data service IP, a port number accessed to an OVS, a Mac address, cache space size setting and cache mode setting, and the cache mode setting comprises a stand-alone mode or a main-standby mode; and creating and managing basic cache information, and providing environment data basis for the follow-up providing drainage strategy.
The cache creation management comprises the steps of providing parameter settings of a destination identification server to be cached, wherein the parameter settings of the destination identification server to be cached comprise IP, ports, transmission protocols and Mac addresses, providing start-stop options and controlling whether the caching is manually controlled.
In the process of creating and managing the cache, calculating the capacity expansion time according to the cache utilization rate and the frequency of clearing the tail data of the target queue; because the limitation of the equipment cache space is the root cause of the cache replacement strategy, the larger the cache space is, the more identification data can be cached, the higher the hit rate of the cache is, but at the same time, more funds are needed to be spent for capacity expansion; therefore, considering the size of the buffer space, the trade-off between low cost and high buffer hit rate is realized, a threshold gamma is set for the frequency of clearing the tail data of the target queue, and the buffer data is assumed to be marked and encoded by W being greater than q in 24 hours, q is the median of the marked and encoded priority degree of the target queue, and gamma=3 times of clearing, which indicates that the marked and encoded amount to be cached is relatively large, more data worth to be cached is worth to be cached, and capacity expansion is required.
The capacity expansion is based on a cloud computing platform, so that new storage equipment is very convenient to create; the specific operation steps comprise:
s1: a storage device is newly built on the cloud computing platform and can be a common virtual machine with a certain storage capacity; the virtual machine and the cache device belong to the same subnet; if the main and standby caches exist, a storage device is added for each cache device during capacity expansion;
s2: after the storage equipment is added successfully, a buffer target queue aiming at the storage equipment is newly added in the buffer equipment, the calculation method of the length of the queue and the priority degree of the buffer target are the same, and the expiration time of the buffer data is the same;
s3: after the local capacity storage of the caching device reaches the upper limit, adding the newly added identification code data needing to be cached into a queue of the new storage device, and transmitting the identification packet data into the storage device;
s4: an index is established for the identification code, and the identification code can be accurately and quickly positioned in which cache target queue;
s5: and the data synchronization between the main cache and the standby cache after the storage equipment is added is continued, and the synchronization between the main cache equipment and the standby cache equipment is changed into the synchronization between the main cache equipment and the standby cache equipment.
An industrial Internet identification data caching target algorithm based on SDN is characterized by comprising the steps of obtaining a most worthy caching target according to identification codes and statistics of access times in unit time and combining storage space calculation, and improving cache hit rate; the method specifically comprises the following steps:
after the flow reaches the caching device, analyzing the identification code of the request; taking the code as a key word stored in a cache;
setting a cache target queue, wherein the size of the queue is related to the cache storage space and the size of a single identification packet; assuming that the size of the return packet is s, the total storage space is T, the length of the buffer target queue is L=T×β/s, and rounding downwards; beta is a memory threshold constant, such as 0.85, representing a maximum use of memory of 85%;
recording the identification code request time, and calculating the access times C of the identification code request within the latest unit time t by the system; counting the number of cache total hits and the total hit rate of the identification codes, and taking the number of accesses as the basis; the number of access times in unit time is small, and the overall hit rate is high, so that the identification code still has a cache value;
the priority of the identification code being cached is calculated as follows:
w (priority) =c (number of accesses in the latest unit time) +h (total hit number)/t (unit time);
storing the identification codes and the priority degree into a cache target queue, and sequencing the identification codes and the priority degree according to the priority degree; the system sets a preset access number c, and the data reaching the preset access number is cached; setting expiration time t1 of the cache data;
the data in the buffer target queue is updated at regular time by taking t as a time unit, and when the queue is not full, the coded buffer data is not deleted temporarily; if the cache queue is full, the expired data is removed, and then the coded cache data at the tail part of the cache target queue is sequentially removed.
The invention adopts network architecture deployment mode of SDN (Software Defined Network ) based on the existing industrial Internet identification data management service, issues strategy according to parameter setting, takes over identification request flow, and introduces the flow to be cached into the caching device under the condition of not modifying the configuration of the identification client.
According to the SDN-based processing method for the flow cache of the identification request, provided by the invention, the service performance of the identification data management system when the massive identification analysis requests are handled is optimized, the response speed is improved, and the access time delay is reduced.
Drawings
FIG. 1 is a system deployment diagram of the present invention;
fig. 2 is a flow chart of system construction operation.
Detailed Description
The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by persons skilled in the art without making creative efforts based on the embodiments in the present invention are all within the protection scope of the present invention.
Examples
According to the caching method of the industrial Internet identification flow based on SDN, the whole deployment is shown in figure 1, an identification service system which is adjusted to an SDN network architecture is arranged on the left side of a tunnel, and caching service equipment based on cloud platform construction is arranged on the right side of the tunnel.
After the establishment of the cached infrastructure is completed, the creation management work of the cache is performed, and specific information of the cache equipment is recorded, wherein the specific information comprises a management port floating IP address, a cache data service IP, a port number accessed to an OVS, a Mac address, a cache space size setting, and a cache mode setting, such as a stand-alone mode or a master-slave mode.
After preparing the base environment and caching device data, the administrator user may add the IP and port of the target identification server, as well as the access protocol, that needs to be cached.
After the caching operation is started, the system issues a corresponding strategy through the controller, so that the flow reaching the target identification server is guaranteed to pass through the caching device, if corresponding identification code response data are cached, the request directly returns a result after reaching the caching device, otherwise, the caching device returns a source to the corresponding identification server, and the response result returns an identification client through the caching device.
The system monitors the service state and the storage capacity of the cache device. In the primary and standby modes, once a device is abnormal, the system automatically adjusts the strategy, modifies the flow table of the SDN switch and introduces the flow to the standby cache device.
And the data of the primary and the secondary cache devices are synchronized in real time.
And when the capacity reaches a set threshold value beta, automatically starting the capacity expansion operation.
The specific flow of capacity expansion is as follows:
step one, setting the specification of the storage equipment.
Setting the storage device network to be in the same intranet section with the cache device.
Step three, creating storage equipment; and if the mode is the primary and secondary modes, respectively creating storage devices of the primary and secondary caches.
And step four, adding information of the corresponding storage device into the cache device.
Then the cache service automatically maintains a cache target queue of the new storage device, and the storage device automatically performs data synchronization work between the main storage device and the standby storage device so as to achieve the purpose of capacity expansion.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the foregoing embodiments, and that the foregoing embodiments and description are merely preferred embodiments of the invention, and are not intended to limit the invention, but that various changes and modifications may be made therein without departing from the novel spirit and scope of the invention, which is defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (1)
1. An industrial Internet identification data caching target algorithm based on SDN is characterized by comprising the steps of obtaining a most worthy caching target according to identification codes and statistics of access times in unit time and combining storage space calculation, and improving cache hit rate; the method specifically comprises the following steps:
s1: directly connecting the identification server with the traditional two-layer switch, and changing the traditional two-layer switch into a direct SDN switch; the identification analysis request initiated by the client is directly connected with the SDN switch through the two-layer switch of the secondary node from the Internet; all traffic is managed by the SDN switch;
s2: the method comprises the steps that a cache device is built on a cloud computing platform by adopting a prepared cache mirror image, the cache mirror image is divided into a main cache and a standby cache, 1 single machine mode is built, and 2 main modes are built; creating an SDN virtual switch on a cloud platform, and generally using an OVS mirror image; creating a link from the caching device to the OVS, and enabling the identification request flow to reach the caching device through the OVS switch;
after the flow reaches the caching device, analyzing the identification code of the request; taking the code as a key word stored in a cache;
setting a cache target queue, wherein the size of the queue is related to the cache storage space and the size of a single identification packet; setting the size of a return packet as s, setting the total storage space as T, setting the length of a buffer target queue as L=T [ beta ]/s, and rounding downwards; beta is a threshold constant of the storage space, and the value of beta is 0.85, which indicates that the maximum use of the storage space is 85%;
recording the identification code request time, and calculating the access times C of the identification code request within the latest unit time t by the system; counting the number of cache total hits and the total hit rate of the identification codes, and taking the number of accesses as the basis; the number of access times in unit time is small, and the overall hit rate is high, so that the identification code still has a cache value;
the priority of the identification code being cached is calculated as follows:
W＝C+H/t；
wherein W represents the priority, C represents the number of accesses in the latest unit time, H represents the total number of hits,
t represents a unit time;
storing the identification codes and the priority degree into a cache target queue, and sequencing the identification codes and the priority degree according to the priority degree; the system sets a preset access number c, and the data reaching the preset access number is cached; setting expiration time t1 of the cache data;
the data in the buffer target queue is updated at regular time by taking t as a time unit, and when the queue is not full, the coded buffer data is temporarily not deleted; if the cache queue is full, the expired data is removed, and then the coded cache data at the tail part of the cache target queue is sequentially removed.
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