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 purpose of the invention is to provide a method and equipment for realizing dynamic allocation of rescue guaranteed resources. Compared with the prior art, the method comprises the steps of: determining safety demand information corresponding to a sub-region according to personnel density information included in the sub-region of a guaranteed region; acquiring resource configuration information which represents the rescue guaranteed resources allocated to the sub-region; determining a matching degree between current resource configuration information and the safety demand information corresponding to the sub-region; and allocating the rescue guaranteed resources when the matching degree is less than or equal to a first preset value, or transferring the rescue guaranteed resources out of the corresponding sub-region when the matching degree is great than or equal to a second preset value. Thus the standby rescue guaranteed resources are allocated to sub-regions where on-site safety demands cannot be satisfied, the on-site available rescue guaranteed resources are regulated so that the available rescue guaranteed resources in the sub-regions with many persons are adequate, the rescue guaranteed resources are fully utilized and meanwhile the rescue timeliness and the success rate are improved.

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 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 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 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.

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 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 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 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 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.