CN112073491B - Gateway proxy and service scheduling method for Internet GIS application - Google Patents
Gateway proxy and service scheduling method for Internet GIS application 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
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G06Q50/40—
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- 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
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5003—Managing SLA; Interaction between SLA and QoS
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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
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/50—Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate
Abstract
The invention discloses a gateway proxy and a service scheduling method for Internet GIS application, which realize GIS scheduling and gateway core components and basic support service components by adopting a stateless mode, so that all state information is stored in a system database and a cache, and further the transverse expansion of service proxy nodes can be effectively supported, and compared with the traditional service proxy mode, the gateway proxy and the service scheduling method have high availability and high concurrent load service supporting capacity; in addition, by adopting a reverse proxy mode, all internal OGC services can be effectively protected from external access control.
Description
Technical Field
The invention belongs to the technical field of computer networks, and particularly relates to a gateway proxy and a service scheduling method for Internet GIS application.
Background
With the rapid development of GIS (geographic information system) application, building a GIS platform belonging to the industry has become an objective requirement. The own exclusive GIS platform can save the cost of using other map service platforms, and more importantly, the security of sensitive user information and service information is convenient to protect. However, with the rapid increase of the number of users and the demands of users, the realization of internal unified service management of geographic information resources and standardized service for providing authorization to the outside, and the provision of GIS service with personalized quality of service (QoS) according to the authorization service level of the users have become the primary problem in industry GIS platform construction.
The existing GIS service has the following personalized characteristics: firstly, the GIS service mainly provides standard map data service, generally has no complex calculation, and the standard OGC service deployed on the same GIS server has almost similar service effectiveness, reliability and other QoS quality dimensions except response time; secondly, the map data of the GIS service is large in general capacity, and the occupied bandwidth for user access is large, so that the GIS service quality is seriously dependent on the real-time bandwidth flow; thirdly, aiming at the charging users, the service grade is required to be formulated according to the cost, so as to provide personalized high-quality service, and in order to ensure that the service quality grade is met, the current service capability of the GIS service is required to be accurately evaluated according to the GIS service history QoS evaluation and the real-time bandwidth idle condition.
However, in the existing scheme, the quality assurance problem under the condition of high concurrency load access of multiple users of different grades in the internet-oriented environment is not considered, namely the GIS service optimization scheduling problem meeting the constraint of personalized QoS (quality of service) of the users of different grades is not considered.
Disclosure of Invention
In view of this, the present invention provides a gateway proxy and service scheduling method for internet GIS application, which can select GIS service meeting the user personalized QoS requirement according to the user role.
The invention provides a service scheduling method for Internet GIS application, which comprises the following steps:
step 1, calculating dimension service quality of GIS service, wherein the dimension service quality comprises reliability, effectiveness and response time of the GIS service, and calculating the total service quality of the GIS service according to the dimension service quality;
step 2, determining the service quality constraint of the GIS service according to the user role; selecting GIS services meeting the service quality constraint to form an alternative set; recalculating the total service quality of each GIS service in the alternative set according to the node idle value of the GIS service, marking the obtained service quality as real-time service quality, and selecting corresponding nodes according to a real-time service quality threshold to form a candidate node set to be scheduled; calculating the final service quality of each GIS service in the candidate node set according to the idle traffic service quality and the real-time service quality of the external network bandwidth; the node idle value is idle service quality of the node where the GIS service is located;
and step 3, outputting the GIS service with the maximum final service quality value.
Further, the method for calculating the total service quality of the GIS service according to the dimension service quality is as follows: taking the weighted sum result of the dimensional service quality as the total service quality of the GIS service; by a means of
The method for calculating the final service quality of each GIS service in the candidate node set is as follows: and taking the result of weighted summation of the idle traffic service quality of the external network bandwidth and the real-time service quality as the final service quality.
Further, the node idle value is calculated by adopting a weighted summation mode, namely: node idle value=node CPU idle rate k1+node memory idle rate k2+node network bandwidth idle rate k3, where k1, k2 and k3 are weights.
Further, the real-time quality of service is calculated as follows: real-time quality of service = node idle value x u1+ total quality of service x u2, where u1, u2 are weights.
Further, the final quality of service is calculated as follows: final quality of service = real-time quality of service =r1+quality of service of idle traffic of the outer network bandwidth r2, where r1 and r2 are weights.
The invention provides a service gateway proxy for Internet GIS application, which is characterized by comprising a reverse proxy web server, a GIS scheduling and gateway core component and a basic support service component;
the reverse proxy web server is used for receiving a GIS application request sent by a user and outputting GIS service;
the basic support service component is used for acquiring a user role, calculating the dimension service quality, node idle value and external network bandwidth idle flow service quality of GIS service, and calculating the total service quality of GIS service according to the dimension service quality;
the GIS scheduling and gateway core component is used for determining an initial set of GIS services according to the GIS application request; determining the service quality constraint according to the user role, and selecting GIS services meeting a service quality constraint threshold from the initial set to form the alternative set; updating the total service quality of each GIS service in the candidate set to real-time service quality according to the node idle value from the basic support service component, and selecting corresponding nodes according to a real-time service quality threshold to form the candidate node set; calculating the final service quality of each GIS service in the candidate node set according to the idle traffic service quality and the real-time service quality of the external network bandwidth from the basic support service component; outputting the GIS service with the highest final service quality to the reverse proxy web server as the output GIS service.
Further, the GIS scheduling and gateway core component and the basic support service component are realized by adopting a stateless mode.
Further, the reverse proxy web server has a load balancing mechanism.
The beneficial effects are that:
the invention establishes two-dimensional space of authority control and service quality by determining the service authorization level according to the user role and then finally determining the service quality constraint, thereby realizing finer granularity control of the service scheduling process; in addition, the invention quantitatively calculates the QoS value of each service node based on the method of real-time resource monitoring and historical service quality weighted calculation, and realizes the optimized selection of the bottom resource node based on the QoS value;
according to the invention, by adopting a stateless mode to realize GIS scheduling, gateway core components and basic support service components, all state information is stored in a system database and a cache, so that the transverse expansion of service proxy nodes can be effectively supported, and compared with the traditional service proxy mode, the GIS scheduling and gateway core components and basic support service components have high availability and high concurrent load service supporting capacity; in addition, by adopting a reverse proxy mode, all internal OGC services can be effectively protected from external access control.
Drawings
Fig. 1 is a schematic diagram of a composition structure of a gateway proxy for an internet GIS application provided by the present invention.
Fig. 2 is a schematic workflow diagram of a gateway proxy for an internet GIS application according to the present invention.
Detailed Description
The invention will now be described in detail by way of example with reference to the accompanying drawings.
The invention provides a gateway proxy and service scheduling method for Internet GIS application, which basically comprises the following steps: and determining the service quality constraint of the GIS service according to the user roles, and selecting the GIS service meeting the personalized QoS requirements of the users by adopting three layers of scheduling including service quality constraint satisfaction, node resource optimization selection and optimization selection driven by the external network bandwidth so as to meet the personalized front end use requirements of different types of GIS applications.
Generally, the optimal scheduling of services refers to calculating QoS values of services that meet conditions, sorting from high to low, and taking optimal services and nodes as services and nodes providing services.
The invention provides a service scheduling method for internet GIS application, which is a three-layer scheduling algorithm for the condition that GIS service nodes governed by a gateway have different places, namely, each node has different bandwidths and real-time network loads, and the proposed three-layer scheduling algorithm is provided with the functions of meeting service quality constraint, optimizing and selecting node resources and optimizing and selecting external network bandwidth drive, and comprises the following steps:
and step 1, calculating the dimension service quality of the GIS service, wherein the dimension service quality comprises the reliability, the effectiveness and the response time of the GIS service, and calculating the total service quality of the GIS service according to the dimension service quality.
The dimension service quality of the GIS service comprises reliability, effectiveness and response time of the GIS service, wherein the reliability, effectiveness and response time of the GIS service are respectively called as single dimension service quality of the GIS service, and data of the single dimension service quality are all statistical data in a certain time period.
The single dimension service quality of reliability is the number of times of successfully providing the service to the client or the total number of times of providing the service to the client. The effective single dimension service quality is the number of times that the client end successfully connects to the service or the total number of times of requests. The single dimension service quality of the response time, which is the total response time of successful service divided by the number of successful services, may be a stepwise assignment, for example:
that is, when the response time is between 0 and 1 second, the value of the single-dimensional quality of service of the response time is 1.
The total service quality of the GIS service is the weighted summation of the service quality of each single dimension in the dimension service quality, and the weight can be set according to experience. For example, the number of the cells to be processed,wherein (1)>m represents m dimensions, q i For QoS value of single dimension, w i Is the weight of a single dimension.
Step 2, determining the service quality constraint of the GIS service according to the user role; selecting GIS services meeting the service quality constraint to form an alternative set; updating the total service quality of each GIS service in the candidate set to real-time service quality according to the node idle value of the GIS service, and selecting corresponding nodes according to the real-time service quality threshold to form a candidate node set to be scheduled; and calculating the final service quality of each GIS service in the candidate node set according to the idle traffic service quality and the real-time service quality of the external network bandwidth.
And acquiring an initial set N of OGC services called by the user according to the request of the user, wherein for example, the user calls the OGC services of the administrative district data of China, and only the OGC services of the administrative district data of China are collected.
First layer scheduling:
in the initial set N, a service subset (QoS metric) is selected according to the minimum QoS condition of each dimension corresponding to the user role as a service quality constraint, and according to the historical QoS quality and the global QoS value of each service, and the service subset is counted as an alternative set M.
Second layer scheduling:
in the alternative set M, according to the node resource idle condition monitored in real time and the service history QoS value, correcting and calculating the service real-time QoS value to obtain K candidate node resources to be scheduled, and forming a candidate node set.
Professional resource monitoring software such as Ganglia is adopted to obtain real-time values of service node resources, namely idle conditions of a CPU, a memory, an internal network and the like. The node idle value for GIS services may then be calculated by means of weighted summation, for example: qoS (idle) =node idle CPU k1+node idle memory k2+node idle network k3, where k1=0.5, k2=0.125, k3=0.08. It follows that the higher the idle value of a node, the higher the service QoS that the node provides.
Then, the total service quality is corrected by using the node idle value, so as to obtain the real-time service quality of the service, for example, qoS (real-time) =qos (idle) ×u1+qos (total) ×u2, wherein u1+u2=1, and the weights u1 and u2 are flexibly specified by a gateway manager according to experience or preference.
And (3) third-layer scheduling:
k candidate nodes obtained from the second-layer scheduling are obtained from professional real-time network monitoring software, the idle traffic of the external network bandwidth of the node is obtained and regulated to an interval [0,1], the QoS value of the idle traffic of the external network bandwidth of the node is obtained, the final QoS value = the corrected real-time QoS value r1+ the idle traffic QoS value r2 of the external network bandwidth is calculated in combination with the corrected real-time QoS value, wherein r1+ r2 = 1, and r1 and r2 are flexibly specified by gateway management personnel according to experience or preference.
And step 3, outputting GIS service with higher final service quality.
And according to the third-layer scheduling and the calculated final QoS value, acquiring the optimal service and the node where the optimal service is located as the selected service and the node provides the service outwards.
The invention provides a gateway proxy for internet GIS application, which comprises a reverse proxy web server, a GIS scheduling and gateway core component, a basic support service component and a database cluster, as shown in figure 1, specifically:
1. reverse proxy web server
The reverse proxy web server is responsible for receiving various GIS application requests in the Internet environment and presenting the scheduling target GIS service to a requesting user in a reverse proxy mode. The system mainly comprises load balancing and reverse proxy functions, and provides polled load balancing access to a high-availability GIS gateway cluster with ensured internal service quality, and GIS service is provided outwards through the reverse proxy. The reverse proxy web server may employ an nginnx load balancing and reverse proxy implementation.
2. Foundation support service assembly
The basic support service component is used for acquiring a user role, calculating the dimension service quality, the node idle value and the external network bandwidth idle flow service quality of the GIS service, and calculating the total service quality of the GIS service according to the dimension service quality. The basic support service component can be composed of functional modules such as service metadata registration, user authorization level and role control, node resource dynamic monitoring and the like. The component adopts a micro-service framework, all functional modules adopt stateless software storage control, namely, the software does not store intermediate session state information, and the intermediate session state information is stored in a cache database cluster, so that the quick, high-efficiency and high-availability storage and access of session data are ensured. The method is realized by adopting a stateless software mode, so that the transverse expansion deployment is easy to realize, and the bottleneck of single-point failure is prevented.
(1) The service metadata management module is used for providing adding, deleting and checking of all OGC service metadata information, and mainly comprises OGC service basic metadata information such as service names, service IDs, service types, URL addresses, service node addresses, service input parameters, service output parameters, service function descriptions and the like. And providing query service based on service name for internal and external address conversion of OGC service.
(2) The user authorization level and role control module is used for providing metadata definition of user authorization level and role, the user authorization level is mainly used for defining QoS dimension constraint conditions, and the role is mainly used for fine-grained access control of internal OGC service authority. And providing a service call interface for acquiring the user grade and the service role, and returning the user authorization grade and the role by taking the user token as input by the interface.
(3) The node resource dynamic monitoring module is used for monitoring and counting the real-time running state information and the historical service quality of the OGC service and the bottom layer resource nodes thereof, further obtaining the QoS real-time data of each service and the bottom layer resource nodes thereof, and providing data support for service agent optimized scheduling.
3. GIS dispatch and gateway core assembly
The GIS scheduling and gateway core component is used for determining the service quality constraint according to the user role, and selecting GIS services meeting a service quality constraint threshold to form the alternative set; updating the total service quality of each GIS service in the candidate set to real-time service quality according to the node idle value, and selecting corresponding nodes according to a real-time service quality threshold to form the candidate node set; calculating the final service quality of each GIS service in the candidate node set according to the idle traffic service quality and the real-time service quality of the external network bandwidth; outputting the GIS service with higher final service quality to the reverse proxy web server as the output GIS service.
In the specific implementation, the GIS scheduling and gateway core component is responsible for the functions of authority verification, service optimization scheduling, service registration management, resource real-time monitoring and the like of users, and is a core component of the invention, and the GIS scheduling and gateway core component can be composed of five functional modules of login control management, OGC service internal and external address conversion, qoS constraint management, bottom node resource optimization scheduling and node bandwidth driving optimization selection. The core component adopts a micro-service framework, all functional modules adopt stateless software storage control, namely, the software does not store intermediate session state information, and the intermediate session state information is stored in a cache database and a relational database cluster, so that the quick, high-efficiency and high-availability storage and access of session data are ensured. Because the GIS scheduling and gateway core assembly is realized by adopting a stateless software mode, the transverse expansion of high-availability GIS gateway deployment with ensured service quality is easy to realize, 3 or more node clusters are constructed, the high-availability characteristic of the GIS scheduling and gateway core assembly is ensured, and the bottleneck of single point failure is prevented.
(1) The login control management module is used for realizing token-based user session and authentication and authorization functions. And calling a user level authorization control module by receiving a user token as input to acquire the specific authorization level of the user.
(2) The QoS constraint management module is responsible for translating into QoS constraint conditions (mainly comprising multidimensional indexes such as service reliability, service response time, service effectiveness and the like) according to the user authorization level, wherein the higher the user authorization level is, the better the granted QoS guarantee is.
(3) The bottom node resource optimization scheduling module is used for performing optimization selection scheduling from the internal OGC service group according to the user QoS constraint condition and the state information of the node resources, ensuring that the basic QoS constraint requirement of the user authorization level is met, and obtaining a bottom node resource set meeting the service authorization level requirement.
(4) The node bandwidth driving optimization selection is used for reading the real-time residual bandwidth number of each GIS server network in the slave node resource dynamic monitoring service, and according to the optimization selection strategy of the internal node, the optimized node resource GIS service is selected as the optimal candidate service from the node resource set meeting the basic QoS constraint requirement of the user authorization level acquired in the step (3).
(5) The OGC service internal and external address conversion module is used for registering the management module based on the service metadata and is responsible for translating the gateway address requested by the user into the physical address of the optimal candidate GIS service by combining the requested service parameters; and the OGC service content actually provided by the inside is presented to the external GIS application through the Nginx reverse proxy.
4. Database cluster
The database cluster is used for storing intermediate session state information and predefined information, so that stateless software storage control of modules in the high-availability GIS gateway cluster with ensured service quality is realized, and quick, high-efficiency and high-availability storage and access of session data are ensured.
The workflow of the gateway proxy for the Internet GIS application provided by the invention is shown in figure 2, and the specific process is as follows:
step 1.1, the reverse proxy web server receives a GIS application request of a user and returns a token of the user;
step 1.2, the login control management module, the user authorization level and role control module obtain the user role and the authorization service level of the user according to the user token; the login control management module judges whether the user has the authority to access the GIS service according to the user role, and if the user does not have the authority, the GIS application request is refused and error information is returned; otherwise, executing the step 4.3;
step 1.3, the service quality constraint management module acquires the quality constraint of the GIS service from the database cluster according to the authorized service level; the node resource dynamic monitoring module acquires the idle value of the node where the GIS service is located and the idle traffic service quality of the external network bandwidth;
step 1.4, the node resource optimization scheduling module determines a candidate node set according to the quality constraint and the idle value;
step 1.5, the node bandwidth driving optimization selection module calculates the final service quality of GIS service according to the idle traffic service quality of the external network bandwidth, and selects GIS service and nodes to be output with higher final service quality from the candidate node set;
step 1.6, the service metadata registration management module acquires an internal physical address and an access URL of the GIS service to be output according to the service name of the GIS service requested and the GIS service to be output and the node obtained in the step 4.4;
step 1.7, the reverse proxy web server returns the internal physical address and the access URL to the user.
In summary, the above embodiments are only preferred embodiments of the present invention, and are not intended to limit the scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. The service scheduling method for the Internet GIS application is characterized by comprising the following steps of:
step 1, calculating dimension service quality of GIS service, wherein the dimension service quality comprises reliability, effectiveness and response time of the GIS service, and calculating the total service quality of the GIS service according to the dimension service quality;
step 2, determining the service quality constraint of the GIS service according to the user role; selecting GIS services meeting the service quality constraint to form an alternative set; recalculating the total service quality of each GIS service in the alternative set according to the node idle value of the GIS service, marking the obtained service quality as real-time service quality, and selecting corresponding nodes according to a real-time service quality threshold to form a candidate node set to be scheduled; calculating the final service quality of each GIS service in the candidate node set according to the idle traffic service quality and the real-time service quality of the external network bandwidth; the node idle value is idle service quality of the node where the GIS service is located;
step 3, outputting the GIS service with the maximum final service quality value;
the method for calculating the total service quality of the GIS service according to the dimension service quality comprises the following steps: taking the weighted sum result of the dimensional service quality as the total service quality of the GIS service; the method for calculating the final service quality of each GIS service in the candidate node set is as follows: and taking the result of weighted summation of the idle traffic service quality of the external network bandwidth and the real-time service quality as the final service quality.
2. The method according to claim 1, characterized in that the node idle value is calculated by means of weighted summation, namely: node idle value = node CPU idle rate k 1 + node memory idle rate k 2 +node network bandwidth idle rate k 3 Wherein k is 1 、k 2 K 3 Are weights.
3. The method of claim 1, wherein the real-time quality of service is calculated by: real-time quality of service = node idle value × u 1 +total quality of service u 2 Wherein u1 and u2 are weights.
4. The method of claim 1, wherein the final quality of service is calculated by: final quality of service = real-time quality of service r 1 Quality of service for idle traffic with + bandwidth of the external network 2 Wherein r is 1 And r 2 Are weights.
5. An internet GIS application oriented service gateway proxy based on the scheduling method of any one of claims 1-4, comprising a reverse proxy web server, a GIS scheduling and gateway core component and a basic support service component;
the reverse proxy web server is used for receiving a GIS application request sent by a user and outputting GIS service;
the basic support service component is used for acquiring a user role, calculating the dimension service quality, node idle value and external network bandwidth idle flow service quality of GIS service, and calculating the total service quality of GIS service according to the dimension service quality;
the GIS scheduling and gateway core component is used for determining an initial set of GIS services according to the GIS application request; determining the service quality constraint according to the user role, and selecting GIS services meeting a service quality constraint threshold from the initial set to form the alternative set; updating the total service quality of each GIS service in the candidate set to real-time service quality according to the node idle value from the basic support service component, and selecting corresponding nodes according to a real-time service quality threshold to form the candidate node set; calculating the final service quality of each GIS service in the candidate node set according to the idle traffic service quality and the real-time service quality of the external network bandwidth from the basic support service component; outputting the GIS service with the highest final service quality to the reverse proxy web server as the output GIS service.
6. The gateway proxy of claim 5, wherein said GIS dispatch and gateway core component, said base support service component are each implemented in a stateless mode.
7. The gateway proxy of claim 5, wherein said reverse proxy web server has a load balancing mechanism.
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| CN101697530A (en) * | 2009-11-16 | 2010-04-21 | 上海交通大学 | Service management system based on real-time dynamic service quality |
| CN102170396A (en) * | 2011-05-06 | 2011-08-31 | 浙江大学 | QoS control method of cloud storage system based on differentiated service |
| CN102624922A (en) * | 2012-04-11 | 2012-08-01 | 武汉大学 | Method for balancing load of network GIS heterogeneous cluster server |
| CN102930047A (en) * | 2012-11-15 | 2013-02-13 | 中国科学院深圳先进技术研究院 | Retrieval method and system for virtual earth user avatar node |
| WO2017045211A1 (en) * | 2015-09-16 | 2017-03-23 | 国云科技股份有限公司 | Cloud computing task scheduling method constrained by multiple quality-of-service requirements |
| CN105281954A (en) * | 2015-10-21 | 2016-01-27 | 武汉大学 | Method for evaluating spatial information service quality and optimizing service chain |
| CN108133613A (en) * | 2017-12-19 | 2018-06-08 | 深圳先进技术研究院 | A kind of real-time release road-surface concrete Service Index method and system |
| CN111277629A (en) * | 2020-01-13 | 2020-06-12 | 浙江工业大学 | High-availability-based web high-concurrency system and method |
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