CN114666336A - API gateway-based dynamic weight service routing method - Google Patents
API gateway-based dynamic weight service routing method Download PDFInfo
- Publication number
- CN114666336A CN114666336A CN202210249943.2A CN202210249943A CN114666336A CN 114666336 A CN114666336 A CN 114666336A CN 202210249943 A CN202210249943 A CN 202210249943A CN 114666336 A CN114666336 A CN 114666336A
- Authority
- CN
- China
- Prior art keywords
- service
- api
- weight
- key index
- index information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- 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
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/66—Arrangements for connecting between networks having differing types of switching systems, e.g. gateways
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/04—Network management architectures or arrangements
- H04L41/044—Network management architectures or arrangements comprising hierarchical management structures
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/44—Distributed routing
-
- 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
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
-
- 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
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses a service routing method based on API gateway dynamic weight and the computer application field. The invention improves the method for polling service routing by setting the weight of the original API gateway grouping, determines the weight coefficient of key index information elements on each service in the group by adopting a hierarchical analysis method for the service of the group cluster, collects the key index element information in real time, comprehensively calculates the comprehensive scores of different services in the group, dynamically sorts the service pair columns in the group, avoids invalid failure requests, achieves the optimal service response and realizes the service routing with real-time dynamic weight.
Description
Technical Field
The invention relates to the field of computer application, in particular to a service routing method based on API gateway dynamic weight.
Background
At present, with the fine management of thermal power plant services, the enterprise single application architecture cannot meet the flexible and polymorphic changes of the services. The micro-service architecture has the advantages of low service coupling, strong load capacity, easiness in development and maintenance, the API gateway which provides a unified entry for the micro-service platform serves as a proxy rear-end service, requests are forwarded, technical functions such as authentication authorization, access control, routing, load balancing, caching, current limiting limit, conversion, mapping, filtering, fusing, API management, monitoring, statistics and the like can be born, the micro-service has larger and larger size, and effective service routing of the API gateway is more important.
In the micro-service structure, an API gateway realizes a routing function by adopting a global filter, calls according to the sequence value sequence specified by the global filter, can obtain a linked list, transmits downwards on a filter chain, replaces a request URL through an intermediate filter, finally turns the request to a target back-end service by a forwarding filter and responds the result to a calling end; when one service is provided by a plurality of operation servers, the API gateway provides service routing according to the weight set by the service grouping, thereby achieving the purpose of controlling flow and load. However, this method is implemented under an ideal condition, and it is far from sufficient to actually perform routing of the service request itself only by using the weight value, and the abnormal conditions such as "false death", flash back and the like occurring in the API backend service and the performance problem of the server itself need to be considered, so the actual application effect is not ideal.
Disclosure of Invention
The present invention is directed to overcome the above-mentioned shortcomings of the prior art and to provide a method for dynamic weighting of service routing based on API gateway.
In order to achieve the purpose, the invention adopts the following technical scheme to realize the purpose:
a method for dynamically weighting service routing based on an API gateway comprises the following steps:
step 1, an implement device for expanding the grouping weight routing of the API gateway defines a service self-checking information acquisition interface class and key index information on a server;
step 2, collecting key index information of different API services and different server loads in real time;
step 3, establishing a hierarchical structure model, taking the service of the cluster in the group as a scheme layer, taking key index information elements on each service as a criterion layer, and taking the API service with the highest comprehensive score as a target layer;
describing by using quantitative relative weight based on the relation between the service of each cluster in the group in the scheme layer and each key index information element in the criterion layer, participating all the key index information in comparison to form a paired comparison matrix, calculating the weight value corresponding to the key index information based on the paired comparison matrix, calculating the comprehensive score of each API service according to the key index information and the corresponding weight value of each API service, and sequencing the comprehensive scores of all the API services in the group;
and 4, receiving the service request by the API gateway, and forwarding the request to the API service with the highest comprehensive score according to the API service comprehensive score sorting queue in the group.
Further, in step 1, the key index information includes: service availability, cpu utilization, memory utilization, network utilization, and IO read-write utilization.
Further, in step 1, in the API gateway routing service, an implementer that expands the API gateway packet weight routing defines a service self-check information acquisition interface class, and all backend services can implement the acquisition interface defined in the gateway.
Further, in step 3, the specific process of calculating the comprehensive score of the API service is as follows:
the relationship of the service of the cluster within each group in the schema layer to each key index information element in the criteria layer is described with a quantitative relative weight, constructed as a comparison matrix a:
wherein, aijRepresenting the inverse of the importance of comparing the ith element with the jth element, aij>0，
Obtaining a target layer total sorting weight value and a criterion layer single sorting weight value according to the paired comparison matrixes;
multiplying the total sorting weight by the single sorting weight to obtain the weight of each key index information element on the criterion layer;
accumulating the weight values of all key index information and calculating the service comprehensive score value y1:
y1＝∑ij＝wapi*mn_api+wcpu*mn_cpu+wio*mn_io+wnet*mn_net+wmem*mn_men
Where n denotes the nth API service in the group, mn_api，mn_cpu，mn_io，mn_net，mn_menRespectively representing the key API availability, cpu utilization rate, IO read-write utilization rate, network utilization rate and memory utilization rate of each API service; w is aapi，wcpu,wio，wnet，wmemAnd the weight coefficients represent the usability of the current API service in the API, the cpu utilization rate, the IO read-write utilization rate, the network utilization rate and the memory utilization rate.
Further, step 3 includes performing consistency check on the paired comparison matrices, and achieving consistency by continuously reconstructing the paired comparison matrices.
Further, in step 3, the ratio of the index CI inconsistent with the pairwise comparison matrix to the average random consistency index RI is used for consistency check.
Further:
wherein, RI is an average random consistency index and is related to the matrix order n; lambda [ alpha ]maxIs the maximum value of the characteristic index value.
Further, agreement of the pair of comparison matrices is achieved when CR <0.1, otherwise the pair of comparison matrices is not established.
Compared with the prior art, the invention has the following beneficial effects:
the invention discloses a service routing method based on dynamic weight of an API gateway, which improves the method for performing polling service routing by grouping and setting weight of the original API gateway, determines the weight coefficient of key index information elements on each service in the group by adopting a hierarchical analysis method for the service of a cluster in the group, collects the information of the key index elements in real time, comprehensively calculates the comprehensive scores of different services in the group, dynamically sorts the service pair columns in the group, avoids invalid failure requests, achieves the optimal service response and realizes the service routing effect of the real-time dynamic weight.
Drawings
FIG. 1 is a block diagram of a method for API-based gateway dynamic weight service routing in accordance with the present invention;
FIG. 2 is a hierarchical model diagram of a method for API-based gateway dynamic weight service routing in accordance with the present invention;
FIG. 3 is a flow chart of a method of dynamic weight calculation;
FIG. 4 self-test information collection interface classes.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The invention is described in further detail below with reference to the accompanying drawings:
as shown in fig. 1, fig. 1 is a flowchart of the present invention, and a method for dynamic weighting service routing based on API gateway includes the following steps:
step 1, in GateWay routing service, extending an API GateWay grouping weight routing implementer, defining a service self-checking information acquisition interface class as shown in figure 4, wherein all back-end services need to implement a method in the acquisition interface defined in the GateWay, and acquiring current values of API service availability, CPU utilization rate, memory utilization rate, network utilization rate and IO read-write utilization rate of the current service in real time;
step 2, a dynamic calculation module in the gateway routing service starts to acquire key index information of different loads of an API service and a server where the API service is located in real time, and the acquisition period is consistent with the service monitoring heartbeat period;
and 3, establishing a hierarchical structure model, arranging key index information elements on each service in a criterion layer, describing by using quantitative relative weights, constructing a pair comparison matrix by comparing all indexes, calculating a service comprehensive score according to the key index information and the corresponding weight value of each API service, eliminating unavailable services, and sequencing all API service comprehensive scores in the group.
In the step 3, the gateway routing service collects the service availability, the CPU utilization rate, the memory utilization rate, the network utilization rate and the IO read-write utilization rate of the key index information API of the 3 tagService services in the measurement point service set group through the dynamic calculation module.
In the step 3, it is ensured that 3 tagService services of the clusters in the point service set group are a scheme layer, key index information elements on each tagService service are a criterion layer, and the API service with the highest comprehensive score is a target layer, which is shown in fig. 2, where fig. 2 is a hierarchical model diagram of the API gateway dynamic weight-based service routing method of the present invention;
referring to fig. 3, fig. 3 is a flow chart of a dynamic weight calculation method; and 3, describing the important relationship between the 3 tagService services of the cluster in the measuring point service set group and the key index information elements on each tagService service by using quantitative relative weight to construct a comparison matrix A:
wherein, aijThe reciprocal representing the importance of comparing the ith element to the jth element, the feature: a isij>0，
Obtaining a target layer total sorting weight value and a criterion layer to target layer single sorting weight according to the paired comparison matrix;
multiplying the total sorting weight by the single sorting weight to obtain the weight of each key index information element on the criterion layer; accumulating the weights of all key index information to calculate the comprehensive service score y1：
y1＝∑ij＝wapi*mn_api+wcpu*mn_cpu+wio*mn_io+wnet*mn_net+wmem*mn_men
Wherein n represents the 3 rd tagServiceAPI service in the current measurement point service set group, and mn_api，mn_cpu，mn_io，mn_net，mn_menRespectively representing the key API availability, cpu utilization, IO read-write utilization, network utilization and memory utilization, w, of each API serviceapi，wcpu,wio，wnet，wmemAnd the weight coefficients represent the usability of the current API service in the API, the cpu utilization rate, the IO read-write utilization rate, the network utilization rate and the memory utilization rate.
And 3, performing consistency check on the paired comparison matrixes after the paired comparison matrixes are constructed, and measuring indexes CI of inconsistent programs of the paired comparison matrixes:
wherein, RI is called average random consistency index, which is related to matrix order n, and can be obtained by looking up table, when CR <0.1, it represents that the consistency of the comparison matrix is achieved, otherwise, the comparison discrimination matrix is not true, and a pair of comparison matrices needs to be reconstructed.
And 4, receiving the service request at the GateWay routing service, and forwarding the request to a tag service with the highest comprehensive score according to the comprehensive score sorting queue of the 3 tag service services of the cluster in the measuring point service set group.
The above-mentioned contents are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modification made on the basis of the technical idea of the present invention falls within the protection scope of the claims of the present invention.
Claims (8)
1. A method for dynamically weighting service routing based on an API gateway is characterized by comprising the following steps:
step 1, an implement device for expanding the grouping weight routing of the API gateway defines a service self-checking information acquisition interface class and key index information on a server;
step 2, collecting key index information of different API services and different loads of a server in real time;
step 3, establishing a hierarchical structure model, taking the service of the cluster in the group as a scheme layer, taking key index information elements on each service as a criterion layer, and taking the API service with the highest comprehensive score as a target layer;
describing by using quantitative relative weight based on the relationship between the service of each intra-group cluster in the scheme layer and each key index information element in the criterion layer, taking all key index information into comparison to form a paired comparison matrix, calculating a weight value corresponding to the key index information based on the paired comparison matrix, calculating a comprehensive score of each API service according to the key index information and the corresponding weight value of each API service, and sequencing the comprehensive scores of all API services in the group;
and 4, receiving the service request by the API gateway, and forwarding the request to the API service with the highest comprehensive score according to the API service comprehensive score sorting queue in the group.
2. The API gateway dynamic weight service routing method of claim 1, wherein in step 1, the key metrics information includes: service availability, cpu utilization, memory utilization, network utilization, and IO read-write utilization.
3. The method for service routing based on API gateway dynamic weight of claim 1, wherein in step 1, in the API gateway routing service, the implementer for extending API gateway packet weight routing defines a service self-checking information collection interface class, and all backend services can implement the collection interface defined in the gateway.
4. The API gateway dynamic weight service routing method of claim 1, wherein in step 3, the specific process of calculating the composite score of the API service is:
the relationship of the service of the cluster within each group in the schema layer to each key index information element in the criteria layer is described with a quantitative relative weight, constructed as a comparison matrix a:
wherein, aijRepresenting the inverse of the importance of comparing the ith element with the jth element, aij＞0，
Obtaining a target layer total sorting weight value and a criterion layer single sorting weight value according to the paired comparison matrixes;
multiplying the total sorting weight by the single sorting weight to obtain the weight of each key index information element on the criterion layer;
accumulating the weight values of all key index information and calculating the service comprehensive score value y1：
y1＝∑ij＝wapi*mn_api+wcpu*mn_cpu+wio*mn_io+wnet*mn_net+wmem*mn_men
Where n denotes the nth API service in the group, mn_api，mn_cpu，mn_io，mn_net，mn_menRespectively representing the key API availability, cpu utilization rate, IO read-write utilization rate, network utilization rate and memory utilization rate of each API service; w is aapi，wcpu，wio，wnet，wmemIs shown asAnd the weighting coefficients of the availability of the front API service in the API, the CPU utilization rate, the IO read-write utilization rate, the network utilization rate and the memory utilization rate.
5. The API gateway dynamic weight service routing based on claim 1, further comprising a consistency check on the pairwise comparison matrix in step 3, wherein consistency is achieved by continuously reconstructing the pairwise comparison matrix.
6. The method of claim 5, wherein the step 3 is performed by using a ratio of a CI, which is an index of a pairwise comparison matrix inconsistency, to an average random consistency index RI.
7. The API gateway dynamic weight service routing method of claim 6, wherein:
wherein, RI is an average random consistency index and is related to the matrix order n; lambda [ alpha ]maxIs the maximum value of the characteristic index value.
8. The API gateway dynamic weight services routing method of claim 7, wherein the agreement of the pair of comparison matrices is reached when CR <0.1, otherwise the pair of comparison matrices is false.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210249943.2A CN114666336B (en) | 2022-03-14 | 2022-03-14 | Method for dynamic weight service routing based on API gateway |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210249943.2A CN114666336B (en) | 2022-03-14 | 2022-03-14 | Method for dynamic weight service routing based on API gateway |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114666336A true CN114666336A (en) | 2022-06-24 |
| CN114666336B CN114666336B (en) | 2023-07-18 |
Family
ID=82030184
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210249943.2A Active CN114666336B (en) | 2022-03-14 | 2022-03-14 | Method for dynamic weight service routing based on API gateway |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114666336B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115277863A (en) * | 2022-06-27 | 2022-11-01 | 中盈优创资讯科技有限公司 | Scheduling method of API (application program interface) route |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102289590A (en) * | 2011-08-18 | 2011-12-21 | 沈阳工业大学 | Method for estimating operating state of SF6 high-voltage circuit breaker and intelligent system |
| CN106126412A (en) * | 2016-06-14 | 2016-11-16 | 中国科学院软件研究所 | The automatic Evaluation and Optimization of code quality based on Android API operating specification |
| CA2932865A1 (en) * | 2016-06-10 | 2017-12-10 | Sysomos U.S. Inc. | Pipeline computing architecture and methods for improving data relevance |
| CN108848515A (en) * | 2018-05-31 | 2018-11-20 | 武汉虹信技术服务有限责任公司 | A kind of internet of things service quality-monitoring platform and method based on big data |
| US20190044969A1 (en) * | 2017-08-03 | 2019-02-07 | Interset Software, Inc. | Aggregation of risk scores across ad-hoc entity populations |
| CN111277648A (en) * | 2020-01-19 | 2020-06-12 | 北京工业大学 | Nginx-based dynamic weight load balancing system and method |
| US20210097114A1 (en) * | 2019-09-27 | 2021-04-01 | International Business Machines Corporation | Concept Similarity Measure Based, Scope-Aware and Dependency-Aware Hierarchical Service Discovery |
| WO2021073083A1 (en) * | 2019-10-15 | 2021-04-22 | 南京莱斯网信技术研究院有限公司 | Node load-based dynamic data partitioning system |
-
2022
- 2022-03-14 CN CN202210249943.2A patent/CN114666336B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102289590A (en) * | 2011-08-18 | 2011-12-21 | 沈阳工业大学 | Method for estimating operating state of SF6 high-voltage circuit breaker and intelligent system |
| CA2932865A1 (en) * | 2016-06-10 | 2017-12-10 | Sysomos U.S. Inc. | Pipeline computing architecture and methods for improving data relevance |
| CN106126412A (en) * | 2016-06-14 | 2016-11-16 | 中国科学院软件研究所 | The automatic Evaluation and Optimization of code quality based on Android API operating specification |
| US20190044969A1 (en) * | 2017-08-03 | 2019-02-07 | Interset Software, Inc. | Aggregation of risk scores across ad-hoc entity populations |
| CN108848515A (en) * | 2018-05-31 | 2018-11-20 | 武汉虹信技术服务有限责任公司 | A kind of internet of things service quality-monitoring platform and method based on big data |
| US20210097114A1 (en) * | 2019-09-27 | 2021-04-01 | International Business Machines Corporation | Concept Similarity Measure Based, Scope-Aware and Dependency-Aware Hierarchical Service Discovery |
| WO2021073083A1 (en) * | 2019-10-15 | 2021-04-22 | 南京莱斯网信技术研究院有限公司 | Node load-based dynamic data partitioning system |
| CN111277648A (en) * | 2020-01-19 | 2020-06-12 | 北京工业大学 | Nginx-based dynamic weight load balancing system and method |
Non-Patent Citations (3)
| Title |
|---|
| 何胜;熊太纯;柳益君;叶飞跃;潘瑜;: "基于Spark的高校图书馆文献推荐方案及实证研究", 图书情报工作, no. 23 * |
| 杨??: "利用层次分析法建构信息服务质量评价体系", 情报杂志, no. 11 * |
| 陈练达;曾国荪;: "基于因子分析的动态负载均衡算法", 微型机与应用, no. 02 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115277863A (en) * | 2022-06-27 | 2022-11-01 | 中盈优创资讯科技有限公司 | Scheduling method of API (application program interface) route |
| CN115277863B (en) * | 2022-06-27 | 2024-05-14 | 中盈优创资讯科技有限公司 | Scheduling method of API (application program interface) route |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114666336B (en) | 2023-07-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2021012930A1 (en) | Voting node configuration method and system | |
| CN102081622B (en) | Method and device for evaluating system health degree | |
| CN111277648A (en) | Nginx-based dynamic weight load balancing system and method | |
| US9460135B2 (en) | Methods and automated systems for testing, optimization, and analysis that use robust statistical processing of non-binomial experimental results | |
| CN104580538A (en) | Method for improving load balance efficiency of Nginx server | |
| Reinecke et al. | Cluster-based fitting of phase-type distributions to empirical data | |
| CN111324462A (en) | System and method with Web load balancing technology | |
| CN112866132B (en) | Dynamic load balancer and method for massive identification | |
| CN108599992A (en) | A kind of data processing system and method | |
| CN112689007B (en) | Resource allocation method, device, computer equipment and storage medium | |
| CN106528683A (en) | Index segmenting equalization based big data cloud search platform and method thereof | |
| CN112398700B (en) | Service degradation method and device, storage medium and computer equipment | |
| CN114666336A (en) | API gateway-based dynamic weight service routing method | |
| CN106649856A (en) | Database access device, system and method | |
| CN116700920A (en) | Cloud primary hybrid deployment cluster resource scheduling method and device | |
| CN107358534A (en) | The unbiased data collecting system and acquisition method of social networks | |
| CN112003900B (en) | Method and system for realizing high service availability under high-load scene in distributed system | |
| CN115665173B (en) | MQ-based Websocket communication method, system and storage medium | |
| CN115883392A (en) | Data perception method and device of computing power network, electronic equipment and storage medium | |
| CN115567597A (en) | Message request forwarding method and device of payment settlement system | |
| CN115314400A (en) | Network system anomaly detection method and device, electronic equipment and storage medium | |
| CN113626186A (en) | Load balancing method and system of server and computer readable storage medium | |
| CN115314500B (en) | Dynamic load balancing method based on improved TOPSIS model | |
| CN112073491B (en) | Gateway proxy and service scheduling method for Internet GIS application | |
| CN113949624B (en) | Distribution method, device, equipment and medium of link sampling number |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |