99 results about "Current period" patented technology

The invention discloses a performance testing method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of performance testing, and the method comprises the steps: generating a target load of a current cycle according to the cycle sequence of the current cycle through a constructed load generation model; or, the target load of the current period is obtained through the PID controller according to the target load and the actual load of each historical period, the target load of each period can be dynamically generated, and the dynamic target load better fits the load of the real operation environment, so that the load of the current period can be dynamically generated. The problem that the stability of the server for deploying the AI accelerator cannot be effectively evaluated when the load with the highest power consumption is used for testing can be solved, and the technical effect that the stability of each performance index can be truly, effectively and accurately evaluated is achieved. In addition, the target test task is generated through the load of the period, the execution process of accelerated calculation of the target test task is relatively close to the real operation condition, and the obtained multiple performance indexes are relatively close to the real operation result.

The invention relates to the technical field of data transmission, in particular to a high-reliability intelligent micro-grid system data transmission method, which comprises the following steps: acquiring load data of a target node for an intelligent micro-grid system in a current time period and a historical time period; carrying out clustering division on the load data in the current time period, and carrying out adaptive combination on all current load clusters; determining a data change frequency degree corresponding to each current load sub-segment; screening a similar load sub-segment corresponding to each current load sub-segment; determining a state influence factor corresponding to each current load sub-segment; screening out a historical load sequence which is the same as the corresponding stage of each current load sub-segment, and obtaining a state influence factor corresponding to the historical load sequence; and transmitting the working condition information collected in the current time period according to the determined target transmission level. Data transmission is carried out based on the quantized transmission level, and the reasonability of data transmission is improved.

The invention relates to the technical field of computers, and discloses a fault alarm method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining identification information and a starting dependency sequence of each service operated by a main node in a current period; obtaining the service state of each service according to the identification information of each service and the starting dependency sequence; when it is determined that the service state of the target service is abnormal or the service state of the target service is not obtained, a configuration file of the target service in the current period and a file content index value of the target service in a previous period corresponding to the current period are obtained according to the identification information of the target service, and the target service is any service; determining the fault type of the target service according to the configuration file of the target service in the current period and the file content index value of the target service in the previous period; and generating an alarm notification according to the identification information of the target service and the fault type, and sending the alarm notification to the client. According to the invention, the troubleshooting efficiency can be improved.

The invention relates to the technical field of data analysis, in particular to a terminal data secure transmission method and system for a cloud computer. The method comprises the steps of updating a relation graph between files according to operation conditions of the files in a current time period every target duration, and obtaining a current relation graph; the current time period is a time period corresponding to the recently elapsed target duration; respectively taking each file as a target file, and determining the current uploading bias of the target file according to the operation frequency of the target file in the current time period, the association condition performance of the target file in the current relation graph and the association condition change of the associated file of the target file; the associated file is a file associated with the target file in the relation graph in the current time period; and determining whether to upload the target file to the cloud computer or not according to the current uploading weight. Whether each file is uploaded to the cloud computer or not is accurately determined, and accurate and timely file uploading is realized.

The invention relates to the technical field of multi-source data fusion, in particular to a multi-source communication data fusion method and system and a storage medium, and the method comprises the steps: obtaining various data of communication equipment in real time; acquiring a monitoring deviation index of any two types of data in the current period according to data difference characteristics between any two types of data, and clustering all types of data; according to the data deviation degree between each type of data and all other types of data in the cluster in which the data is located in the current period, the deviation degree of each type of data relative to historical data, and the synchronization degree of the mutation time of each type of data, obtaining a cheating factor of each type of data in the current period; therefore, the initial credibility of various types of data in the current period is optimized, and then all types of data in the current period are fused. According to the method, the data credibility of each type of data is analyzed, the initial credibility of each type of data is optimized, and the accuracy of multi-source communication data fusion is improved.

The embodiment of the invention discloses a queue resource allocation method and device, equipment, a medium and a program product. The method comprises the steps of obtaining a historical task execution log corresponding to each queue in a distributed cluster; determining historical task execution information of each queue in the historical time period based on the historical task execution logs; predicting target resource allocation proportion information corresponding to the current time period based on an information prediction model obtained by pre-training, the to-be-executed task information of each queue in the current time period, the historical task execution information and the historical resource allocation proportion information; and based on the target resource allocation proportion information, reallocating the total resource of the distributed cluster, so that each queue performs task execution in the current time period based on the reallocated current queue resource. Through the technical scheme of the embodiment of the invention, the automatic dynamic allocation of the queue resources can be realized, so that the resource utilization rate is improved, and the task execution efficiency is also ensured.

The invention relates to a spare part plan determination method and device, computer equipment, a medium and a program product, and the method comprises the steps: predicting the first spare part demand of a spare part in N time periods based on the expected delivery amount and order demand of the spare part in the N time periods after the current time period in the current time period; based on the first spare part demand quantity in the N time periods and the second spare part demand quantity in each time period which is not executed in the issued spare part plan, determining a target time period in which the spare part demand quantity needs to be adjusted; wherein the number of the unexecuted time periods in the issued spare part plan is M, N and M are positive integers, and N is greater than M; and adjusting and re-issuing the second spare part demand quantity of the spare part in the target time period, and issuing the first spare part demand quantity of the spare part in the N time periods and in the time period which is not overlapped with each time period which is not executed. By adopting the method, the making accuracy of the spare part plan can be improved.

The invention provides a fault detection method and a related product, and relates to the technical field of fault detection. The fault detection method comprises the steps of obtaining current state information of a to-be-detected system in a current time period, wherein the current state information comprises at least one of a current operation condition, configuration, performance and a health state of the to-be-detected system in the current time period; predicting a fault injection action of the to-be-detected system according to the current state information of the to-be-detected system so as to generate a fault scene through the fault injection action; and determining that the to-be-detected system has a fault in the fault scene. According to the embodiment of the invention, the system fault detection speed and accuracy can be improved.

The application provides a timing control method and device, electronic equipment and storage medium. The method comprises: obtaining an actual task execution duration of a time level task in a current period during execution of the time level task according to a task execution frequency corresponding to each time level; the task execution frequency corresponding to each time level is dynamically adjusted according to a system running state; if a value corresponding to the actual task execution duration is greater than a value corresponding to the task execution frequency, adjusting a sleep duration of a future period according to a value relationship between the actual task execution duration and the task execution frequency; and executing the time level task based on the adjusted sleep duration of the future period. The application can effectively reduce the controller load and improve the control accuracy and stability by dynamically adjusting the task execution frequency of each time level and the time compensation mechanism.

The invention provides a method and device for adjusting a message sending rate, network equipment and a chip, and the method comprises the steps that a communication device determines first network information of a current period, and then sends a first feedback message to a first server side; wherein the first network information is used for indicating the proportion of a message of which the waiting time delay is greater than or equal to a time delay threshold in a message of a first application sent by the communication device in the current period, and the message of the first application sent by the communication device in the current period comprises a message of a first client of which the host end is the first application; the message of which the host end is the first client is from a first server of the first application; the first feedback message comprises first network information, and the first network information is used for the first server to adjust the sending rate of the message with the host end as the first client. Based on the scheme provided by the invention, the network congestion can be effectively controlled, and the low-delay experience of the application is ensured.

The invention provides a linear compensation method and system for a periodic synchronization position mode based on a bare computer system and a medium, and the method comprises the steps: reading a target position A when PDI data interruption is triggered, and storing the target position A in a first region of a second-level cache array; when the SYNC0 is synchronously interrupted, reading the target position B, comparing the target position B with the data in the first area of the second-level cache array, and judging whether the processing of the PDI data interruption in the current period and the data of the target position meet set conditions or not; on the basis of a judgment result, matching corresponding PDI data interruption and SYNC0 signal time sequence interruption scenes, and selectively executing linear compensation operation or directly adopting target position data; target position data or a linear compensation value X is analyzed and assigned to a motor for driving, and continuous output of a target position in a periodic synchronous position mode is achieved; in a cache and pointer mode, PDI data processing is interrupted, target position information is updated, and the continuity of a target position in a periodic synchronization mode is ensured.

A computer system performs a processing operation in real time on an aggregated value stored in a counter of a set of counters corresponding to time periods associated with events. The computer system maintains the set of counters usable to store aggregated values of an event metric. In response to detection of the events, the computer system stores, in a database, event details for the received events and updates those counters of the set of counters that correspond to time periods associated with the received events. In response to receipt, in a current time period, of an update to a particular event of the received events associated with a previous time period, the computer system, in real time, retrieves, from the set of counters, a particular aggregated value of the event metric for the previous time period and performs a processing operation based on the particular aggregated value.

A key set, for a token key management method, is maintained and has a plurality of key subsets corresponding to respective temporally contiguous token signing periods including a current period and a past and / or future period. The key set may be maintained by periodically updating it in response to a key event notification to indicate one or more new keys, or by performing a key set rotation operation. An updated key set may be retrieved from a key database, with key event notifications optionally indicating one or more new keys. The key database may store key identifiers and timestamps to aid key retrieval. The method may be used by geographically separated token servers 106A and 106B, in which case tokens can be verified despite being signed with a key that is only recently out of date, thereby avoiding the need to closely synchronise the token servers. [Fig. 2]

The invention provides a signal modulation method, a decision feedback equalizer and a storage medium. The method comprises the following steps: performing amplitude estimation on a modulation signal x (t) to obtain an amplitude estimation value a (t) of a current period; the amplitude estimation values a (t-1), a (t-2),..., a (t-M + 1) and the amplitude estimation value a (t) in the past M-1 periods are balanced, an amplitude balance result z (t) is obtained, and M is an integer larger than 1; the differential phase p (t-i) of the modulation signal x (t) is determined, the differential phase p (t-i) is a differential phase result of x (t) and x (t-i), and i is an integer larger than 0; balancing the differential phases p (t-1), p (t-2),..., p (t-N + 1) in the past N-1 periods to obtain an actual differential phase w (t), N being an integer greater than 1; recovering the actual differential phase w (t) to a normal signal phase v (t); and demodulating to obtain a modulation result y (t) corresponding to the modulation signal x (t) according to the amplitude equalization result z (t) and the signal phase v (t). According to the signal modulation method provided by the invention, the equalization performance of the decision feedback equalizer can be improved.

The present disclosure relates to the technical field of communications. Disclosed are a traffic scheduling method and apparatus for a DPU, and a device and a storage medium. The method comprises: detecting a transmission performance state, within the current period, of a system-on-chip on which a DPU is deployed; using the transmission performance state to determine a target scheduling queue of the DPU within the current period; on the basis of a traffic scheduling policy corresponding to the transmission performance state, setting a traffic coefficient of the target scheduling queue within a current period; and according to the traffic coefficient, scheduling traffic data in the scheduling queue to the system-on-chip via a preset channel of the DPU.

The invention provides a network transmission resource adjustment method and device, equipment and a storage medium, and relates to the technical field of communication. The method comprises the following steps: acquiring service data transmitted by a target network in a current time period; determining a plurality of parameters corresponding to the business data based on the type of the business data; the plurality of parameters are used for representing the data transmission performance of the target network; and adjusting transmission resources of the target network in the next time period of the current time period according to the plurality of parameters. Therefore, the transmission resources of the target network in the next time period of the current time period can be adjusted in time under the condition that more service data are transmitted in the current time period, and the problem of traffic congestion is avoided.

The invention discloses a panel key pressure test method and device and a computer readable storage medium, and relates to the technical field of key pressure tests.The method comprises the steps that in a test of a current period, after a pressing action of a first time period is executed, stable waiting of a second time period is started; state detection is carried out in a third time period after stable waiting, and a detection result is recorded in a fourth time period after state detection; and carrying out interval waiting in a fifth time period after the detection result is recorded, and preparing the test of the next period after the interval waiting. According to the invention, a switch panel switch key pressure testing scheme with higher automation degree, detection efficiency and detection reliability is realized, and the problems of low testing efficiency, dependence on manual operation, incapability of realizing continuous testing and poor testing consistency in the prior art are effectively solved.

The embodiments of the present application provide a resource allocation method, apparatus, network device, and computer-readable storage medium, which relate to the field of communication technologies. Among them, the resource allocation method is executed by a network device deployed in a first cell, and includes: receiving an indication message, where the indication message is used to indicate the second traffic volume of a second cell in an overlapping time slot in the current period; in response to the indication message, determining the amount of first available PRB resources of the first cell in the overlapping time slot in the next period of the current period, and the amount of second available PRB resources of the second cell in the overlapping time slot in the next period; and performing resource allocation for the overlapping time slot according to the amount of first available PRB resources and the amount of second available PRB resources. The embodiments of the present application solve the problem of waste of air interface resources in avoiding interference in overlapping time slots in related technologies.

The invention provides a computing device, method and equipment based on an RISC-V instruction and a medium. An instruction fetching unit is set to generate a first instruction address of a current period, and a first instruction of the current period is acquired according to the first instruction address; the first instruction address of the current period is compared with the jump address of the branch instruction in the branch prediction cache, and if branch prediction succeeds, the jump address of the branch instruction serves as the first instruction address of the next period; the decoding unit decodes the first instruction of the current period to obtain a decoded second instruction; the address generation unit generates a data access address of the current period according to the second instruction; the execution unit performs calculation according to the data in the data access address to obtain an execution result of the current period; and the write-back unit writes back the execution result of the current period, the current period is ended, and branch prediction is performed by using the branch prediction cache, so that high-hit-rate branch prediction is realized, delay is reduced, the performance is high, and the cost is low.

The invention relates to a message auditing method and device, electronic equipment and a medium, and belongs to the technical field of communication, and the method comprises the steps: obtaining a preset prime number sequence; obtaining the message reply rate of the target number in the current time period; determining a message sending amount threshold value of the target number in the current time period according to at least one of the prime number sequence and the message reply rate; and auditing the sent message of the target number in the current time period on the basis of the message sending amount threshold value. The message sending amount threshold value of the target number can be dynamically adjusted, and the sent message of the target number in the current time period is audited on the basis of the message sending amount threshold value of the target number in the current time period. The flexibility and the accuracy in the message auditing process are improved, so that the accuracy and the efficiency of determining the spam message are improved.

The invention belongs to the field of relay protection memory self-inspection, and particularly relates to a memory exception judging and positioning method, system and device and a readable storage medium. According to the method, the row and column check values capable of representing the influence of the single event upset are obtained through the check value of the memory data and the check value between the data, whether the single event upset occurs or not can be judged only by comparing the row and column check values calculated in the current period with the row and column check values calculated in the last period, reference to memory redundant backup is not needed, and therefore extra memory is not occupied, and the data processing efficiency is improved. The utilization rate of equipment memory resources can be improved; even if the memory resources of the equipment are insufficient, the memory abnormity judgment and positioning of the single event upset are not influenced; and after the single event upset of the memory is judged, the abnormal position can be quickly and accurately positioned according to the difference between the row verification value and the column verification value of the current period and the previous period, the abnormal position is positioned without comparing the memory data and the backup data, and the positioning accuracy can be improved while the abnormal positioning efficiency is improved.

The embodiment of the invention provides an access parameter adjusting method and device, a storage medium and electronic equipment, and relates to the field of computers.The method comprises the steps that resource state information of a target resource in a historical period is determined, and the target resource is a resource which a first device requests to access a second device; the resource state information is utilized to determine the number of first devices in the current period to obtain a target number, and the first devices are devices to be accessed to the second device in the current period; and adjusting the access parameter of the second device based on the target number to obtain a target access parameter, the target access parameter being used for controlling the number of the first device accessed to the second device in the current period. Through application of the method and the device, the problem that the access resources cannot be effectively allocated in related technologies is solved, and the effects of effectively allocating the access resources and improving the utilization rate of the access resources are achieved.

A computer system performs a processing operation in real time on an aggregated value stored in a counter of a set of counters corresponding to time periods associated with events. The computer system maintains the set of counters usable to store aggregated values of an event metric. In response to detection of the events, the computer system stores, in a database, event details for the received events and updates those counters of the set of counters that correspond to time periods associated with the received events. In response to receipt, in a current time period, of an update to a particular event of the received events associated with a previous time period, the computer system, in real time, retrieves, from the set of counters, a particular aggregated value of the event metric for the previous time period and performs a processing operation based on the particular aggregated value.

This specification discloses a method and apparatus for canary deployment. The canary deployment system acquires traffic segmentation rules corresponding to a target microservice among multiple microservices. Then, based on the traffic received by the new version of the target microservice in the current time period, it obtains the operational data of the new version of the target microservice in the current time period. Finally, based on the operational data of the new version of the target microservice in the current time period and the traffic segmentation rules corresponding to the target microservice, it performs traffic segmentation on the traffic received by the target microservice to determine the traffic received by the new version of the target microservice in the next time period, and further obtains the operational data of the new version of the target microservice in the next time period, and so on, until the new version of the target microservice receives all the traffic, thus completing the canary deployment. This automatically adjusts the traffic ratio between the old and new versions of the code, avoiding errors caused by human operation, and improving the efficiency of canary deployment.

The invention relates to the technical field of cloud computing networks, and discloses a multi-core dynamic flow rate limiting method and device based on cache and delay update, and the method comprises the steps: distributing local cache data for each CPU core; the local cache data comprises accumulated size and quantity of network packets cached in the current period, a flow rate limiting result of the previous period and a timestamp of global rate limiting operation of the previous period; performing threshold condition check on the network packets cached in the current period, and performing speed limiting processing on the accumulated size and the number of the network packets cached in the current period based on a threshold condition check result to obtain a flow speed limiting result in the current period; and performing speed limiting operation on the network packets cached in the current period based on the flow speed limiting result in the current period. According to the invention, the access frequency of global resources is reduced, the resource competition in a multi-core scene is reduced, and the processing performance is improved.

The invention discloses a data sending method and device, and relates to the technical field of data processing. One specific embodiment of the method comprises the following steps: predicting the total data volume of to-be-sent data to be sent to a target system at the current period; determining a first single-batch data volume and a first processing duration corresponding to the first single-batch data volume according to the total data volume and a preset time interval for sending adjacent batches of data; determining whether the first processing duration is matched with a preset time interval; if not, adjusting a preset time interval, and determining a second single-batch data volume and a second processing duration corresponding to the second single-batch data volume according to the adjusted time interval, so that the second processing duration is matched with the adjusted time interval; and screening target data of the second single-batch data volume to be sent in the current batch from the to-be-sent data, and sending the target data to the target system. According to the embodiment, on the premise that the stability of the system is not influenced, the data can be sent in time, and then the situation of data backlog is avoided.

The invention relates to a flow control method and system, electronic equipment and a storage medium. The method can comprise the following steps: acquiring the cumulative number of offline reconnections between a target device and a cloud server, a rate adjustment coefficient of a current period and a period adjustment coefficient of the current period; determining a target data transmission rate based on the rate adjustment coefficient of the current period and the data transmission rate of the previous period; determining a target transmission duration based on the period adjustment coefficient of the current period and the data transmission duration of the previous period; determining target supplementary traffic according to the target data transmission rate, the target transmission duration and the transmitted data traffic of the current period; and under the condition that the network connection between the target equipment and the cloud server is recovered, starting a standby interface of the target equipment, and transmitting data corresponding to the target supplementary traffic to the cloud server by using the standby interface. According to the technical scheme provided by the invention, the flexibility of flow control and the stability and response speed of overall operation can be improved.

The application discloses a terminal equipment light-weight operation and maintenance method based on artificial intelligence, relates to the technical field of terminal equipment light-weight operation and maintenance, and comprises the following steps: in the case that state continuation writing data is missing, extracting a state sequence after hot start from the running state record in the current period, constructing a hot start residual piece mutation mapping tensor, and determining a running state change piece through a field stability score and a boundary disturbance gradient model; inputting the running state change piece into a credibility mapping network, generating a credible mapping vector through calculation of a cross-field residual value smoothing factor and a local mutation mode alignment rate, and judging whether the operation and maintenance has credibility based on the credible mapping vector. The application solves the problem that operation and maintenance judgment is inaccurate due to missing state data after terminal equipment hot start, and realizes accurate quantification and dynamic regulation and control of operation and maintenance credibility under the condition that data is incomplete.

The invention discloses a terminal equipment lightweight operation and maintenance method based on artificial intelligence, and relates to the technical field of terminal equipment lightweight operation and maintenance, and the method comprises the following steps: extracting a state sequence after hot start from an operation state record in a current time period under the condition of recognizing that state continuous writing data is missing, constructing a hot start fragment mutation mapping tensor, and storing the hot start fragment mutation mapping tensor; determining a running state change fragment through a field stability score and a boundary disturbance gradient model; and inputting the running state change fragment into a credibility mapping network, generating a credibility mapping vector by calculating a cross-field residual smoothing factor and a local mutation mode alignment rate, and judging whether the operation and maintenance judgment has credibility or not based on the credibility mapping vector. According to the method, the problem of operation and maintenance judgment inaccuracy caused by state data missing after hot start of the terminal equipment is solved, and accurate quantification and dynamic regulation and control of the operation and maintenance credibility under the condition of incomplete data are realized.

The invention discloses a disk isolation method and device, a storage medium and an electronic device.The method comprises the steps that performance parameters, collected in the current time period, corresponding to a plurality of disks are obtained, and the performance parameters are obtained by collecting read-write data of data storage directories corresponding to the disks; the parameters are used for representing respective read-write performance of the plurality of disks; the initial state of the disk in the current time period can be determined based on the performance parameters, then the target state of the disk in the current time period is accurately judged by further combining the historical state of the disk in the previous time period of the current time period, and finally the target state of the disk in the current time period is determined based on the respective target states and performance parameters of the plurality of disks. According to the method, the to-be-isolated disk in the plurality of disks is isolated, so that analysis is directly performed from the level of the disks, and the isolation granularity is refined, thereby reducing misoperation, avoiding excessive isolation and improving the reliability and performance of the data node.