50results about How to "Realize dynamic deployment" patented technology

The invention discloses a layered resource reservation system under a cloud computing environment. The system consists of a center reservation server, an area reservation server and a multi-level resource pool, wherein the center reservation server comprises a reservation request response layer and a multi-area center reservation collaborative layer; the reservation request response layer is responsible for sending a resource reservation request and accessing reserved resources; the multi-area center reservation collaborative layer is responsible for receiving the resource reservation request of the center reservation server; the area reservation server is divided into a logic scheduling layer and a resource distributing layer; the logic scheduling layer is responsible for receiving a resource reservation subrequest and distributing resources logically; the resource distributing layer is responsible for executing resource distribution and recovery; and the multi-level resource pool comprises a plurality of computing nodes which can be scheduled. The layered resource reservation system can adapt to the dynamic properties of a cloud computing platform and cloud computing application, thus eliminating mutual influences of various cloud computing applications due to resource competition, and guaranting the normal and stable operations of applications and services.

The invention discloses a hybrid dynamic honeypot deployment system based on a cloud platform. The system is deployed on the cloud platform, and comprises a low-interaction honeypot, a firewall, an analysis module, a traffic redirector, a control module, a high-interaction network, and a safeguard module, wherein the low-interaction honeypot is arranged outside the firewall and used for attractingattack traffics of an attacker; the analysis module can analyze attack behaviors of the attacker, and find out the optimum deceiving mode for a specific suspicious network traffic; the traffic redirector is used for carrying out address redirection on the suspicious traffic obtained through analysis of the analysis module; and the control module is used for guiding the traffic, on which the address redirection is carried out, to a corresponding honeypot in the high-interaction network. The hybrid dynamic honeypot deployment system based on the cloud platform provided by the invention has theadvantages that characteristics of the low-interaction honeypot and a high-interaction honeypot are combined, and the two types of the honeypots are deployed at the same time to fully exert the corresponding characteristics and advantages, so that the fidelity and the performance of a honeypot system are improved.

The invention provides an event tracking point processing method and apparatus. The method comprises the steps of: receiving event tracking point data transmitted from a front-end page, wherein the event tracking point data is generated by an event tracking point in the front-end page and capturing a user operation, and the event tracking point in the front-end page updates the loading when the front-end page is loaded; verifying the event tracking point data transmitted from the front-end page and adding a timestamp to the event tracking point data transmitted from the front-end page to form the target event tracking point data; storing the target event tracking point data; sending the target event tracking point data to a server. According to the method and apparatus, the event tracking point is disposed in the front-end page, a corresponding code is downloaded from the server when the front-end page is loaded, and when the event tracking point is modified, the dynamic deployment of the event tracking point can be achieved by loading the front-end page.

The invention, which relates to the SDN network security mechanism in the wireless communication network field, provides a BP-neural-network-based intrusion detection method for software-defined network(SDN). An intrusion detection method that supports real-time detection and dynamic adjustment and faces a software-defined network is designed and realized by combining characteristics of a BP neural network and using the real-time high-efficiency intrusion detection as a target. The intrusion detection mechanism serving as a network service unit of an SDN network application layer is in a loose coupling relation with a control plane of the SDN network; and the BP neural network is used as a core detection unit. During the network operation process, off-line training and dynamic deployment can be realized; and system parameters can be adjusted according to network states, thereby realizing dynamical extensible SDN network intrusion detection. The provided method having characteristics of low network control load, high flexibility, and easy extension is suitable for the intrusion detection process in the SDN network.

The invention discloses clock synchronization method and system of master / salve clock equipment. The method comprises the steps of: when authorization is requested from the clock equipment, carrying the type of a request service and a logic group ID (Identity) allocated in advance in a sent multicast request authorization message; and after main clock equipment in the same logic group receives the request authorization message, sending unicast authorization response message to the slave clock equipment and sending a corresponding service message to the slave clock equipment according to the type of the request service. Compared with the prior art, the invention realizes the dynamic deployment of the main / slave clock equipment, realizes the dynamic notification of the IP (Internet Protocol) addresses of the master / slave clock equipment through PTP (Peer to Peer) protocol interaction, supports the grouping of the master / slave clock equipment and improves the flexibility of a network element architecture design scheme.

The invention discloses an irrigating and disinfecting integrated testing device. The irrigating and disinfecting integrated testing device mainly comprises a centrifugal pump, a pressure sensor, a flow sensor, an ion concentration sensor, a control system and the like, has comprehensive functions of fertigation, micro-sprinkling and dropping irrigation load simulation, water and fertilizer parameter detection, fertilizer absorbing channel parameter detection, backflow channel parameter detection and the like; furthermore, on the aspects of irrigation, nutrient solution dynamic preparation, nutrient solution disinfecting and the like, the detection of nutrient solution nutrient iron concentration information is combined effectively, therefore the high-precise nutrient solution dynamic preparation and irrigated area load simulation are realized very well, the requirements on a test system during a research and development process of a fertigation are satisfied. The irrigating and disinfecting integrated testing device is applicable for research of facility agriculture precise irrigation and nutrient solution accurate preparation technology and development of system.

The invention provides a data classification and grading security protection system suitable for the power industry, which comprises an adaptation layer, a protection layer and a management layer; theadaptation layer provides an access interface for the data classification and grading security protection system, and the protection layer is used as a core part and comprises a data carding module,a data encryption module, a data desensitization module, an access control module, a data leakage prevention module and an audit management module. The management layer comprises a data carding module, an authentication management module, a strategy management module, an audit management module, a key module and a system management module. The system is deployed between an application system and adatabase, serves as the security controller of the database and a big data platform, can provide protection measures such as authentication, access control, data encryption, data desensitization, data leakage prevention and auditing, can query tag attributes such as classification and grading corresponding to data by using accessed data metadata, can set a data grading security strategy to achieve grading protection according to data.

The invention discloses a dynamic intersection motor vehicle traffic signal allocation method. On the basis of the signal lamp group optimization control logic, a single signal lamp group is used as acontrol unit; different green light releasing combinations are dynamically formed according to motor vehicle pass requirements in different directions; limitation of the traditional fixed phase releasing manner is broken through; the method is relatively suitable for an application scene that motor vehicle traffic flow distribution is not balanced ubiquitously in intersections of China; simultaneously, the green light releasing time of each signal lamp group can be adjusted in real time according to the dynamic traffic flow and the queuing length of motor vehicles; the queuing lengths in other waiting directions of an intersection are adjusted and controlled while the current releasing traffic flow green light pass time is effectively adjusted; and stop delay in various pass directions ofthe intersection is effectively reduced while the motor vehicle traffic flow control efficiency is comprehensively improved.

The invention discloses a load balancing method and a load balancing device based on an application proxy server. The method comprises the following steps: receiving a start request carrying the identity information of an application to be started; acquiring the resource demand of the application to be started from a pre-established application historical database according to the received identity information; and determining a target application proxy server used for running the application to be started according to the acquired resource demand and the load information of at least one application proxy server. According to the invention, an application proxy server meeting the resource demand and load demand of the application to be started is assigned for the application to be started.

The invention discloses a resource allocation method and device. One specific embodiment of the method comprises the following steps: determining priorities of a plurality of services; acquiring current load data; and allocating resources to the services on the basis of the current load data and the priorities. Through the embodiment, server resources can be allocated dynamically, and the reliability of a server is enhanced greatly.

The present invention discloses a corporate tax management and control system and a method based on a cloud computing platform. On the hardware basis of a corporate tax management and control platform, a resource pool is generated through cloud computing support software, the dynamic resource allocation is achieved, and corresponding basic service is provided. In addition, through the connection between the platform and an expert end, rich and personalized service is provided, and a whole industry chain is formed and is in close contact with a front end and a back end. When cloud platform data amount is large enough, through data analysis, data mining and other means, more targeted customized service is provided, and large convenient is brought to a user to carry out corporate tax management and control.

The invention relates to an adaptive computing migration middleware in an IoT (internet of things) system. The adaptive computing migration middleware comprises a creating module, a migration module, a calling module and a decision-making module, creating service provided by an Object Factory is called and supports local creating and remote creating of objects, migration service provided by the Object Factory is called and supports remote migration of the object and return operation of the object, a proxy object is called and transmits calling operation to calling service of the Object Factory, the calling service transmits the operation to a practical object and returns calling results, the middleware acquires a program execution sequence through an interceptor and acquires network environment parameters of IoT, fitness function values of a deployment scheme are computed by a decision-making algorithm to acquire an optimal deployment scheme, and finally, the migration module and the calling module implement deployment. A common IoT application supported by the middleware can realize adaptive computing migration and dynamic deployment.

This invention relates to a full distribution resource management method and a system, in which, said system includes a resource applied module and a resource management module, said resource management system also includes a residual resource management module used in realizing mutual distribution of resource between resource modules, when the resources managed by the management module are not enough or abundant, it accesses the resource block to the residual resource management module or regresses so as to distribute resources in the management modules to overcome the situation that sometimes the resource applied module can't apply for resources from the management module and realize the dynamic distribution when the use of resource is not uniform.

The invention relates to a dynamic loading system and method, wherein the dynamic loading system comprises a packet generating module, a file uploading module and a dynamic loading module, wherein the packet generating module is used for packing programs to be loaded; the file uploading module is used for uploading the packed files to a virtual machine for cache; the dynamic loading module is used for loading the packed files from the cache of the virtual machine to an internal memory for operation when the virtual machine needs to call the interface program; the dynamic loading module further comprises a system class loader, a 2 class loader and a 1 class loader; and the parent of the 2 class loader is the 1 class loader, and the parent of the 1 class loader is the system class loader. According to the invention, a dynamic deployment function for the interface programs is realized.

The invention discloses a service framework supporting multi-internet service center construction and operation, and relates to a service framework to solve the problem that a data storage mode of the architecture of current service type software cannot adapt to multi-iSC (internet service center) operation under the same system. The service framework supports multi-iSC automatic construction and operation, and also supports component dynamic scheduling and analysis; by establishing two different modes of a memory data base, a service framework for operation of different iSC data can be realized by using a unified data mapping mode, and the service framework supports multi-iSC automatic construction; and a data base mapping component ORCom in the original component is split into two components, namely ORCom and GORCom, wherein the new ORCom component is in charge of the access of the memory data base, the GORCom component is in charge of the access of a global data base, and a data base engine is introduced to realize association and mapping of the memory data base and the global data base. The service framework is used for constructing and operating internet service centers.

The invention provides a virtual memory dynamic allocation method of a virtual machine. The virtual memory dynamic allocation method of a virtual machine realizes the dynamic allocation of the virtual memory by developing a control program with the memory balloon technology. Firstly, setting two memory adjustment threshold values T1 (if the memory utilization rate is larger than T1, the memory is extended) and T2 (if the memory utilization rate is less than T2, the memory is recycled) through the control program; then, collecting the memory utilization rate U1 of each virtual machine and storing in the database. In the second collection cycle, the collected virtual machine memory utilization rate U2 is also stored in the database, and the virtual memory analysis is performed at the same time. If (U1+U2) / 2>T1, the virtual memory is extended dynamically; on the contrary, if (U1+U2) / 2<T2 and U1<T1 and U2<T1, the virtual memory is recycled dynamically. According to the virtual memory dynamic allocation method of a virtual machine, the values of T1 and T2 are set according to the actual application, therefore, the virtual machine memory can be dynamically allocated effectively, and the memory utilization efficiency is improved.

The invention provides a bandwidth adjustment method and device, communication equipment and a computer readable storage medium. Whether each slice logic port satisfies a preset bandwidth borrowing condition is monitored; when it is monitored that a certain chip logic port meets a preset bandwidth borrowing condition, the chip logic port is started; taking the slice logic port as a bandwidth borrowing logic port; and then, in the physical ports to which the bandwidth borrowing logic ports belong, searching for slice logic ports meeting a preset bandwidth borrowing condition as bandwidth borrowing logic ports, and further extracting bandwidths from the bandwidth borrowing logic ports according to a preset bandwidth borrowing rule and allocating the bandwidths to the bandwidth borrowing logic ports. Thus, the bandwidth of the bandwidth borrowing logic port is expanded, congestion of services borne by the bandwidth borrowing logic port is avoided, user experience is improved. Meanwhile, the bandwidth of the bandwidth borrowing logic port is more reasonably utilized, hardware resources of the port are fully utilized, and resource waste is reduced.

The invention discloses a method for deploying virtual machine resources. The method comprises the steps that at predicted trial peak time of an trial application, a controller can deploy trial virtual machines of a first preset quantity according to a predicted peak trial amount of the trial application and installs the trial application in the trial virtual machines; when a trial platform receives a trial request sent by a terminal, the controller will deploy the trial virtual machine to the terminal, so that the terminal can be remotely connected to the trial virtual machines for trial use; and after passing of preset trial time, the controller will release the trial virtual machines. The invention also discloses the trial platform and a readable storage medium. According to the invention, trial situations of the trial application are predicted, and the virtual machine resources are dynamically deployed according to prediction situations, so that the bearing capacity of the trial platform can be ensured, and system resources can be saved.

A recommendation method and apparatus, a storage medium and a terminal device are provided, wherein the method includes: determining a weight and a variation amount of at least one influence factor ofa candidate object; obtaining an expected value and an actual value of each of the influence factors; calculating an influence degree of each of the influence factors on the candidate object according to an expected value, an actual value, a change amount and a weight of each of the influence factors; and calculating a recommendation degree of the candidate object according to the influence degree and weight of each of the influence factors. Through adoption of the invention, the accuracy and the efficiency of the recommendation can be improved.

The invention discloses a synchronous comparison, selection and following method based on VoIP ground-air voice communication, which is based on a soft switch technology of an SIP and adopts a distributed architecture to control each VHF station. When the same-frequency different-address stations receive voice data to ground sent by pilots, the control seats start a comparison and selection function and select voice with a good effect optimally, a manual selection mode and an automatic selection mode are adopted for transmission after comparison and selection, a channel with the best voice quality is selected preferentially for transmission, and therefore the ground-air voice communication quality is guaranteed. By means of the method, it is possible to obtain a, the control seats are directly communicated with the very high frequency stations; the comparison and selection operation is completed at the control seat end through cooperation of the control seat and the VHF station, no central switching node exists, normal work of other parts of the system is not affected by a single-point fault, a manual selection mode and an automatic selection mode are provided for transmission after comparison and selection, the time range is set, and the wireless channel quality is ensured while the system is more flexible.

The invention discloses a construction method of multi-coverage reconfigurable constellation, and the reconfigurable constellation. The method comprises the following steps: S1, enabling a preliminaryconfiguration to comprise a plurality of quasi-polar orbital planes which are distributed along different longitude lines and have the same orbit height, and enabling the quasi-polar orbital planes to be provided with a plurality of satellites; S2, obtaining a constellation longitude coverage band multiple number n according to the global continuous service reliability requirement R, the satellite design life T, the single-satellite reliability r and the single-satellite network compensation period t; S3, obtaining a single-satellite coverage geocentric angle alpha; and S4, obtaining a plurality of numerical combinations of the satellite number S' and the quasi-polar orbital plane number P' on the quasi-polar orbital planes meeting the constellation longitude coverage band multiple numbern according to a formula, and selecting one of the plurality of numerical combinations by a user to complete construction. The multi-coverage constellation design of the polar orbital low-orbit satellite is realized, the reliability requirement and cost of a single satellite are reduced, the bottleneck problems of over-design, high cost, high network repair period requirement and the like of theinternet satellite of the low-orbit satellite are solved, and a foundation is laid for providing carrier-grade reliable operation service of the internet of the low-orbit satellite.

The invention discloses a script sustainable operation method and an operation system capable of achieving the script sustainable operation method. The script sustainable operation method comprises the steps of starting a script in a timing mode; loading configuration; checking concurrency conditions; executing service logic within permissive time in a looping mode. The script sustainable operation system comprises a timing starter, a configuration module, a concurrency control module and an execution time control module. The concurrency of the script is avoided, the execution time is short, the second level response can be achieved, and the maintenance cost is reduced. According to the script sustainable operation method and system, the periodic repetitive operation of the script can be achieved, the script can be restarted and ended automatically at regular intervals, therefore, the dynamic deployment of codes can be achieved, manual intervention is not needed, and the maintenance cost is reduced; the execution time of the script can be managed precisely, the time precision is high, and response can reach the level under the second level.

The embodiment of the invention relates to the technical field of networks, and discloses a service IP deployment method, a service IP deployment system and monitoring equipment. The service IP deployment method comprises the steps of determining whether a first service IP is abnormal or not according to acquired state information of a server group corresponding to the first service IP; if it is determined that the first service IP is abnormal, obtaining a second service IP, and scheduling the flow of the server group to a target server group through scheduling equipment; and replacing the second service IP with the service IP of the server group, and recovering the flow of the server group. In the present invention, dynamic deployment of the service IP is realized; in addition, in the dynamic deployment process of the whole service IP; according to the method, only the server group corresponding to the abnormal first service IP is involved, other server groups belonging to the same service cluster as the server group are not influenced, the influence range of the dynamic deployment process is reduced, the processing burden of the monitoring equipment is reduced, and the timely processing capacity of the monitoring equipment is further improved.

The invention relates to a data transmission method through an one-way transparent relay access point and aims to solve the problems that according to an existing relay access point, users' throughput capacity is low, terminal throughput capacities are unbalanced and the relay access point is not compatible with existing management strategy of WLAN. The one-way transparent relay access point comprises a first wireless network card communicating with a wireless accessing point and a second wireless network card communicating with a secondary terminal. The method includes setting the first wireless network card as a mixed mode, and realizing the transparency of the wireless access point by a special address converting strategy. Since the first wireless network card and the second wireless network card are capable of operating in multiple non-overlapping communication channels simultaneously, the number of the terminals of each communication channel is decreased greatly, and the throughput capacity of each user is increased. Owing to the transparency of the one-way transparent relay access point corresponding to the wireless access point, the compatibility with the existing WLAN management strategy is guaranteed.

The invention discloses a decentralized service dynamic deployment method and device suitable for edge computing. The method comprises the following steps: auditing the package of a received micro-service application program based on an initial consensus mechanism; if the verification is passed, deploying the micro-service application program to a default server in a specified service network determined by the initial consensus mechanism; if it is judged that the preset type of resources provided by the default server are lower than the preset resource threshold of the corresponding type, acquiring other servers meeting the preset type of resources in the specified service network; and selecting an optimal path server from the other servers according to a preset rule, and deploying the micro-service application to the optimal path server. According to the invention, the dynamic deployment of the micro-service application program can be realized, so that the dynamic and flexible deployment of resources can be realized, and the deployment effect is optimized.

The embodiment of the invention provides a data processing method and device, electronic equipment and a storage medium, and the method comprises the steps: building a binding relation between a JavaScript code and a preset user operation event when the JavaScript code transmitted by a server is received; in response to triggering of the user operation event, adopting the JavaScript analyzer to execute the JavaScript code, and obtaining a first operation instruction; adopting the first operation instruction to carry out system calling in an operating system where the client is located, so thatthe dynamic deployment of the service logic code in the server is realized, the overlong deployment period caused by the steps of compiling, packaging and the like is avoided, the same JavaScript code can be used for executing the same service logic in different clients, the repeated development of the service logic code is avoided, and the development efficiency is improved.

The embodiment of the invention provides an algorithm deployment and scheduling method and an algorithm deployment and scheduling device. Based on the method and the device, any algorithm in the algorithm set can respond to the algorithm enabling request to be deployed to the electronic equipment designated as the target equipment, and the electronic equipment designated as the target equipment is allowed to execute at least two algorithms in parallel, so that the dynamic deployment of the algorithms in the electronic equipment can be realized. Moreover, the algorithms deployed to the electronic equipment are subjected to matching degree verification of resource consumption of the algorithms and available resources of the electronic equipment, so that it is ensured that the electronic equipment has available computing power resources sufficient to enable each deployed algorithm to achieve expected performance; and on the basis of realizing the dynamic deployment of the algorithm, the expected performance of the algorithm on the electronic equipment can be ensured. Besides, the electronic equipment can perform scheduling control on occupation of computing power resources by taking each algorithm to reach expected performance as a target so as to consider differentiated requirements of each algorithm and coordinate allocation of the computing power resources.

The invention discloses a scalable visual computing system, which is characterized in that it includes a front-end device, an edge service, and a cloud service that sequentially establish communication connections; the front-end device is used for intelligent analysis and processing of collected image data, and Correspondingly output compressed video stream, feature coded stream and structured result stream according to the configuration; the edge service is used to receive and store the compressed video stream, feature coded stream and structured result stream sent by the front-end device, and output features in real time The encoded stream and structured result stream are converged to the cloud service, and the compressed video stream is output to the cloud service on demand according to the data retrieval instruction of the cloud service; the cloud service is used to receive and aggregate the characteristic encoded stream and structure output by the edge service in real time Stream the resulting stream, and retrieve the compressed video stream from the edge service on demand. The present invention realizes the real-time processing and effective utilization of massive video data by optimizing the division of labor and organic cooperation among the terminal, the edge, and the cloud.