46 results about "Exponential backoff" patented technology

The invention discloses a data collaborative directory management method and system, and relates to the technical field of government affair informatization, and the method comprises the steps: generating a directory snapshot containing a global hash value; calculating a directory node hash value of each edge directory node based on the directory snapshot identifier; eliminating clock drift interference through time sequence alignment and dynamic tolerance filtering; inputting the Hash difference time sequence into an isolated forest model to judge a substantial change node; based on the difference entry number and the historical calling weight, combining a dual-threshold rule and an online dichotomy model to hierarchically synchronize requirements; according to a grading result, matching an incremental push mode or a full pull mode, and constructing a synchronous transaction context containing an exponential backoff retry mechanism; synchronous operation is executed through the two-stage state model, and compensation rollback is triggered when the synchronous operation fails; and calculating a health index of the substantially changed node, dynamically selecting a self-healing action and optimizing system parameters. The problem of misjudgment caused by time sequence drift is effectively solved, the synchronization efficiency is improved, and the consistency of directory versions is guaranteed.

The invention relates to a railway material purchasing asynchronous task processing method, device and system, and the method comprises the steps: constructing a six-layer message channel architecture of a purchasing business process, and executing an instruction of deploying a message agent node in an active-active mode for each channel based on the core message middleware of a Kafka cluster; the front-end gateway is instructed to package the purchase event into a binary message body with a transaction ID and a timestamp, and the binary message body is written into a persistent queue after priority labeling is carried out according to a task type label; processing the concurrent tasks by adopting a multi-stage feedback queue scheduling algorithm, and dynamically allocating computing resources based on a thread pool; a maximum retry threshold value is set according to an exponential backoff retry strategy, so that the failed task is automatically transferred into a dead message queue; and dynamically calculating an optimal message routing path based on the supplier portrait and the material classification model, and extracting the order to an exclusive processing queue of the optimal supplier according to Topic dynamic switching of the message queue. According to the invention, the coupling degree is reduced, the system performance is improved, and the fault tolerance is enhanced.

The invention provides a framework migration method and system for a heterogeneous micro-service architecture, and relates to the technical field of micro-service architecture.The framework migration method comprises the steps that migration priorities are determined through topological sorting based on service calling features, a unified service interface description file is generated, a link tracking probe is injected, and service adaptation layer codes are generated; flow control is carried out in combination with a variation gradient token bucket algorithm, and service fusing and degradation are realized by adopting an exponential backoff algorithm and a sliding time window mechanism. According to the method, the problems of complex service dependence, difficulty in flow regulation and control and the like in heterogeneous architecture migration are solved, the security and stability of framework migration are improved, and the operation and maintenance cost of the system is reduced.

The invention relates to the technical field of artificial intelligence, in particular to a man-machine interaction system based on an open source large model. The method comprises the following steps: a user request unit receives multi-round dialogue input of a user based on a context interception algorithm and an intention recognition mechanism, and generates a context prompt word and a target agent identifier; the response processing unit receives the standardized request generated by the platform scheduling unit based on an exponential backoff retry algorithm and a JSON path extraction function, extracts a target field and converts the target field into a structured answer; and the knowledge management and state maintenance unit updates each round of questions and answers to a historical context based on a context closed-loop updating mechanism and a binding relation mapping mechanism, and feeds back the updated context to the user request unit. Based on a context interception algorithm and a semantic embedding classification model, multiple rounds of conversations of a user are converted into semantic cues, target agent identifier mapping and intention affiliation reasoning are automatically completed, and high-precision identification of a request intention and dynamic binding of the agents are achieved.

The invention discloses a report generation agent method, system and device driven by a large language model and a medium, and the method comprises the steps: constructing an agent execution framework independent of a native interface, outputting a decision through a cue word constraint model in a JSON structure, and scheduling a local tool function; analyzing the reference data and constructing a local vector knowledge base supporting semantic retrieval; the intelligent agent autonomously plans and generates a report directory structure based on a local vector knowledge base, stores the report directory structure as a structured intermediate file as a persistent intermediate representation, generates chapter content in parallel by utilizing a concurrent flow control and exponential backoff retry mechanism and combining a mixed retrieval strategy, and serializes and updates the chapter content to the intermediate file in real time; and finally, converting the intermediate file into a target format report according to a mapping rule. The system, the equipment and the medium are used for implementing the method. According to the method, the efficiency and the accuracy of complex report generation are remarkably improved through agent whole-process autonomous driving and combination of persistent intermediate representation, retrieval enhancement and concurrency control technologies.

The invention provides a WebSocket communication reconnection recovery method and related equipment. The method comprises the following steps: managing the life cycle of WebSocket connection through a finite-state machine; the method comprises the following steps: monitoring a WebSocket connection state by adopting a dual-channel heartbeat mechanism, configuring a client to send a PING frame of a current timestamp at a dynamic heartbeat interval for an uplink channel, and configuring a server to return a PONG frame of the current timestamp within a preset response time for a downlink channel; when the connection is interrupted, non-sent messages are cached through a non-standard LRU strategy combined with time sequence priorities, and reconnection interval time is calculated based on an exponential back-off algorithm; and finally, the WebSocket connection is reconnected based on the reconnection interval time, and the unsent message is retransmitted through a non-standard LRU strategy after the connection is recovered. According to the method, a finite-state machine is used for managing the WebSocket, a two-channel heartbeat mechanism and exponential backoff are used for rapid reconnection, a non-standard LRU strategy is used for guaranteeing that key information is not lost, and the defects that original WebSocket management is disordered, and connection is not reliable are overcome.

The invention provides a conflict processing method which can be applied to the technical field of computers. The conflict processing method comprises the steps of obtaining resource adjustment priorities of a plurality of devices in response to detection that resource allocation of the plurality of devices of a server has conflicts; according to the resource adjustment priority of the equipment, adjusting the resource allocation of the equipment which conflicts in the multiple pieces of equipment; performing initialization verification on the plurality of devices by performing multi-stage exponential backoff retry on the plurality of devices respectively; and mounting the equipment passing the initialization verification, and disabling the equipment not passing the initialization verification. The invention further provides electronic equipment, a storage medium and a program product.

The invention discloses an automobile air bag computer diagnosis system, relates to the field of electrical testing, and realizes full-process fine control of ECU mirror image writing through byte-level differential management, three-model parallel simulation verification and two-stage judgment strategies. A system leads out an ECU original mirror image and generates an SHA256 snapshot, a target mirror image is compared byte by byte to form a differential bitmap DIFFmap, and the differential bitmap DIFFmap is aggregated into a minimum write-in unit according to pages, so that the write-in amount and flash memory wear are reduced, and the write-in success rate is improved. The simulation verification unit parallels a plurality of models and dynamically recognizes a high-risk mirror image through weighted combination and a two-stage judgment strategy, and the write-in verification unit adopts segment-level CRC32 and global SHA256 verification and guarantees write-in atomicity and rollback traceability through two-stage submission, atomic switching and exponential backoff retry. And the cloud and local operation and maintenance module generates a compliance diagnosis report and provides authorization management, so that data security synchronization and edge cloud cooperative processing are realized. According to the scheme, the safety, the reliability and the traceability of ECU updating operation are remarkably improved.

This invention discloses a method and system for large file transfer based on cross-window communication, belonging to the field of cross-window communication technology. The method includes: an intelligent chunked transfer mechanism and zero-copy cross-window communication; a multi-level progress system for real-time monitoring and progress feedback during the transfer process; an intelligent recovery mechanism based on an exponential backoff algorithm; a unified management framework for multi-level timeout detection and automatic reconnection; and memory usage optimization and overflow prevention management strategies. This invention performs excellently in practical business scenarios, providing a complete technical solution for handling large file transfers in web applications.

The embodiments of this specification disclose a method, device and electronic device for controlling the upload of refueling information at a hydrogen refueling station. The method includes determining the probability of network recovery within a preset time period. Based on the probability of network recovery within the preset time period, an information reporting mode is determined, and the information reporting mode includes a first mode of postponing the centralized reporting until a preset time period has passed, a second mode of reporting in batches using an exponential backoff algorithm that dynamically adjusts the initial reporting interval based on the network recovery probability, and a third mode of continuous reporting based on the reporting interval corresponding to the network recovery probability. Based on the information reporting mode, the refueling information stored locally at the hydrogen refueling station is reported. In the embodiments of this specification, after the hydrogen refueling machine fails to upload to the server through the Internet, the temporarily locally stored refueling information is re-uploaded, and the local reporting mode can be dynamically switched according to the predicted probability of network recovery in the future, so as to report the refueling information in a timely manner while maximizing the utilization of network and system resources.

This application relates to the field of computer peripheral communication and automated testing technology, and discloses a method for plug-and-play verification of Android device serial numbers on a Windows platform. The method includes the following steps: calling kernel interfaces to construct a device information set, configuring filtering parameters to ignore functional attributes, thereby including device nodes without installed drivers; performing generalized matching on device instance paths based on a manufacturer identifier whitelist to identify the target device; using a multi-level cleaning rule engine to remove operating system-added interface masks and topology suffixes from the path to accurately restore the device serial number; and introducing a truncated binary exponential backoff algorithm to eliminate timing races between physical connection and logical readiness through dynamic delay retries. This invention effectively solves the identification problem of Android devices in multiple modes, achieving accurate SN acquisition and fault-tolerant control without driver dependency.

The application discloses a kind of based on driving engine's semiconductor manufacturing business document automation management method and system, to solve the problem of low efficiency caused by order whole process manual dependence.The method obtains customer production demand by driving engine, and is automatically converted into customer order, service order and manufacturing order according to preset mapping rule and is issued to manufacturing execution system;Driving engine receives execution result and automatically updates service order and customer order state until closed loop.Driving engine uses exponential backoff retry strategy and task state machine to manage abnormal conditions, support topology dependence analysis of parallel / serial order.The application realizes order whole process automation promotion and real-time monitoring, reduces manual intervention, and improves production efficiency.

The present invention relates to the field of data synchronization, and discloses a method, device, and storage medium for synchronizing financial data. The method comprises: an internal control system sends a data synchronization request to a verification system according to the TLS two-way transmission protocol; the verification system receives the synchronization request, verifies the sending platform certificate, and obtains a verification result; according to a preset mapping blockchain, queries and maps the internal control system code to obtain the management system code; connects to the financial management system corresponding to the management system code, and sends the synchronization request to the financial management system; monitors the status code returned by the financial management system; when it is a preset update code, determines that the data corresponding to the synchronization request is in a synchronized state in the financial management system; when it is not a preset update code, resends the synchronization request to the financial management system according to a preset exponential backoff algorithm. In an embodiment of the present invention, encryption and multi-layer verification are utilized to achieve efficient and secure synchronization of financial data across multiple systems.

The invention discloses a single-thread event processing distribution method supporting exponential backoff. The method comprises the following steps: S1, registering a loop event to a loop event queue by calling a registration interface, and registering a random event-random event processing function mapping relation to a random event-random event processing function mapping table; s2, after event processing circulation is started, the event queue is circulated firstly, and then events in the queue are sequentially processed according to the event sequence in the random event queue. The method has the advantages that the events are divided into the circular events and the random events, classification registration is carried out, after event processing circulation is started, the events in the queues are processed in sequence according to the sequence of the circular event queue and the random event queue, and a retry strategy is optimized by introducing a back-off index.

The invention discloses an Internet of Things equipment state updating method and system based on Redis cache, belongs to the technical field of Internet of Things, and aims to solve the technical problem of how to report the state of Internet of Things equipment on the premise of considering real-time performance and database load optimization. Comprising the following steps: after an Internet of Things platform receives state information, reading cache state information from a Redis cache; comparing the core field information in the current report state information with the core state field in the cache state information; the currently reported state information is written into the MySQL database, and the Redis cache is synchronously updated; when the Internet of Things platform does not receive the state information reported by the Internet of Things equipment within the preset time, the Internet of Things platform is judged to be in an offline state; and when the Redis service is unavailable, switching to a direct writing MySQL mode and recording an abnormal log, and when the data written into the Redis service is unavailable, temporarily storing the current state to a local temporary cache, and retrying to write through an exponential backoff mechanism.

The invention relates to the technical field of API (Application Program Interface) data processing and machine translation, and discloses a precise translation and asynchronous blocking processing method for API response body content, which comprises the following steps that: a tree path encoder identifies a field to be translated by utilizing a reflection mechanism; and generating task metadata containing a path vector of the to-be-translated field in the JSON nested structure according to a path coding formula. The identifier generator and the serializer generate a global request serial number and task snapshot data and distribute asynchronous tasks. A regular cleaner generates a cleaned text, and a semantic compensation extraction algorithm executes logic truncation and splices a semantic compensation window to generate a to-be-translated input sequence. And the thread pool concurrently schedules a third-party engine to obtain translation blocks, and the structure reconstruction engine executes in-situ backfilling to generate a translated response body after eliminating redundant translation contents. And the exponential backoff retry device processes the exception, and the callback polling module adopts a double-track delivery strategy to deliver the result. The problem of context deficiency is solved, and translation continuity is guaranteed.

The invention relates to the technical field of network communication, in particular to a private message social interaction method and system based on a network marketing platform, and the method comprises the steps: firstly responding to batch sending action triggering of a private message sending request, and verifying the authorization state of a private message sending end; if the authorization state verification is passed, performing double check on the sending quota of the private message sending end, and pre-occupying the sending quota after the check is passed; verifying the private message type of the private message sending request by adopting a preset message verifier; then, calling a preset message builder to generate a message body corresponding to the private message type; and finally, according to the pre-occupied sending quota, calling a platform API to send a message body, and monitoring a return state in real time. During the period, when a current limiting error code is captured, an exponential backoff retry strategy is executed to execute message reissuing. According to the method provided by the invention, double check can be automatically performed on the sending quota, so that the rate / frequency limitation of the corresponding platform is met, and the condition that the user account is marked as abnormal or forbidden is avoided.

A file fragmentation encryption transmission method and device based on B / S architecture belong to the field of information security. The method solves the systematic contradiction between file transmission efficiency, security and reliability. The method comprises the following steps: determining a fragmentation threshold, and performing adaptive fragmentation processing on an original file; performing RSA public key encryption and AES random key secondary encryption on each fragmented file respectively to generate a double-encrypted file; writing the SHA-3 hash value of each fragmented file together with timestamp information into a blockchain network to generate an unalterable metafile; establishing a multiplexing transmission channel, simultaneously downloading the metafile and the encrypted file set, and using an independent transmission thread for each fragment; verifying the consistency of the hash value of the downloaded file with the blockchain storage, and performing an exponential backoff retransmission strategy on the fragments that fail the verification; and performing streaming decryption and recombination on the verified fragments to generate a temporary file with digital watermarking. The method is mainly used in the field of data transmission.

The invention belongs to the field of communication and information processing, and provides an innovative method for monitoring authorization codes of telecom number portability services. By means of a multi-source data fusion and stream processing technology, authorization code generation and user terminal logs are converged in real time. According to a dynamic rule, single-user (no response in one minute), system local (abnormal in three minutes) and global (abnormal rate is greater than or equal to 10% or interface delay exceeds 5 seconds) abnormity are rapidly judged, and three-level alarm is accurately triggered: in the first level, an interaction card is pushed through enterprise WeChat, so that one-key processing is facilitated; the second level automatically makes a call and generates a work order; and three-stage direct fusing is carried out, and a standby node is started. Meanwhile, an exponential backoff retry (at most 3 times) and a feedback learning mechanism are adopted, the threshold value is optimized, and noise is reduced. According to the method, second-level response is achieved, the authorization code issuing success rate is increased to 99.9%, the operation and maintenance efficiency is improved by 75%, the traditional monitoring blank is filled, and stable operation of telecommunication services is powerfully guaranteed.

The invention provides an asynchronous task processing method based on persistent queue and business rule conflict detection, and the method specifically comprises the steps: receiving an e-commerce data flow, and analyzing the e-commerce data flow into an atomic data line object; extracting a to-be-operated resource dimension in the object, and forming a resource locking identifier set consisting of a service main key and an association key; establishing a conflict dependency relationship between write operations, and constructing a directed acyclic dependency graph according to the conflict dependency relationship; the objects are decomposed into a plurality of batches which are executed in sequence, and it is ensured that resource identification sets of all the objects in the same batch are not intersected; for each object, reading the current data version number of the target write-in position, and generating a write-in instruction containing an expected version; verifying the consistency of the real-time version and the expected version by using a database CAS instruction; if the real-time version and the expected version are consistent, finishing persistence; if not, the concurrency version conflict is judged; at the moment, a conflict avoiding mechanism is triggered, rollback time delay is calculated through an exponential back-off algorithm, and conflict objects are re-injected into the dependent construction or execution process.

The invention discloses a Flume-based time sequence database dynamic adaptation method and device and a medium, belongs to the technical field of databases, and aims to solve the technical problems of how to realize dynamic adaptation of a time sequence database and how to improve the access efficiency of the time sequence database. Comprising the following steps: dynamically loading a driving module of a target time sequence database through a dynamic pluggable protocol plug-in pool; the method comprises the following steps: sampling an input data stream, automatically deducing a timestamp field, an index field and a tag field based on a predefined rule set, and generating a Schema mapping relation of a target time sequence database; dynamically adjusting data batch processing parameters through a reinforcement learning model according to a real-time load index of the time sequence database; and when the time sequence data fails to be written in, a hierarchical retry mechanism is triggered, and the hierarchical retry mechanism comprises local caching, exponential backoff and standby cluster switching.

The social media data acquisition method provided by the invention relates to the technical field of data acquisition, and comprises the following steps: establishing and maintaining MTPro long connection, serializing and controlling API (Application Program Interface) calling by utilizing an asynchronous task scheduling mechanism, and calling a corresponding TelegramAPI interface based on a group type. And aiming at the speed limit problem, a self-adaptive exponential backoff mechanism is constructed, and an API speed limit strategy is effectively avoided in combination with a dynamic backoff interval and speed limit state feedback. Meanwhile, an independent heartbeat mechanism is set to maintain the connection activity, and the request success rate and the system stability are improved through a speed limiting queue and a dynamic retry strategy. Experiments show that the method ensures high concurrency control, increases the request success rate by 65%, reduces the delay by 47%, significantly increases the resource utilization rate, and has good practical value and popularization prospects.

According to the automatic reconnection system for the database server, provided by the invention, under the condition that two CPU utilization rate thresholds are set, the reconnection waiting time in the exponential backoff mode can be automatically adjusted as time goes on, so that the condition that the server is overloaded due to reconnection at any moment is avoided in real time, and the service life of the server is prolonged. The reconnection waiting time is limited in a reasonable range all the time, the maximum waiting time is also reasonably limited, and the maximum waiting time can be reasonably adjusted according to the specific load condition of the server as time goes on; therefore, the reconnection waiting is monitored at any time and the most reasonable adjustment is made in an automatic and intelligent manner, and the server security and the reconnection efficiency are both considered.

There are provided systems and methods for correlating messages from asynchronous message queues using polling with exponential backoff and jitter. A service provider, such as an electronic transaction processor for digital transactions, may provide computing services to users, which may be used to engage in interactions with other users and entities including for electronic transaction processing. When utilizing these transaction processing services, merchant locations may utilize payment terminals, such as card and NFC readers, as well as point-of-sale devices, each of which may independently send transaction messages to the service provider. To correlate these messages from different queues, the messages may be stored when received in an intermediary storage independently and the other storage polled at intervals with exponential backoff to identify corresponding messages and data. Further, jitter may be introduced to the polling process to stagger polling events for different messages.

The invention provides a note association recommendation method and system based on abstract retrieval and LLM analysis, and relates to the technical field of artificial intelligence and natural language processing, and the method comprises the steps: receiving a user request, including a current note, and generating an abstract for the current note; performing vector retrieval based on the abstract, and obtaining a related note identifier list from a historical note library; generating a unique identifier based on the current note content and the related note identifier list; querying the cache by using the unique identifier, and returning a recommendation result if the cache is hit; if not, using the unique identifier to acquire the distributed lock, if acquisition succeeds, calling a large language model (LLM) to deeply analyze the current note and the note corresponding to the related note identifier list, generating a recommendation result, returning the recommendation result to the user, and releasing the distributed lock; and if the acquisition fails, executing the asynchronous retry process. According to the method, mechanisms such as double fingerprint caching, a distributed lock and exponential backoff retry are introduced, so that the cache hit rate and accuracy are improved, and efficient recommendation of associated notes is realized.

The application provides a framework migration method and system of a heterogeneous micro-service architecture, relates to the technical field of micro-service architecture, and comprises the following steps: determining a migration priority through topological sorting based on service call characteristics, generating a unified service interface description file, injecting a link tracking probe, and realizing service adaptation layer code generation; combining a variation gradient token bucket algorithm to perform flow control, and adopting an exponential backoff algorithm and a sliding time window mechanism to realize service fusing and degradation. The application solves the problems of complex service dependence and difficult flow regulation in the migration of a heterogeneous architecture, improves the safety and stability of framework migration, and reduces system operation and maintenance costs.

The invention discloses an asynchronous notification and retry system and method oriented to multi-protocol unified arrangement. The method comprises the following steps: receiving an external request through an external entrance controller, matching routing configuration according to a request path in a routing analysis module, and normalizing a request body into a JSON (JavaScript Object Notation); a notification entity is constructed and persisted through a persistence module; a non-blocking execution module initiates an asynchronous request and analyzes a response, judgment is carried out on the basis that whether a successful verification character string is contained or not is taken as the criterion, successful judgment is achieved by comparing whether a return body contains a preset successful character string or not, and if yes, the state is updated; if not, writing the response content and the state and entering the next step; the next retry time of the failure request is calculated according to an exponential backoff strategy through a delay retry module, and the failure request is delivered to a delay queue and expired for retry; and playing back the specified notification according to the environment mapping table and outputting a result. The method has the beneficial effects that unified arrangement, configurable successful verification, non-blocking execution, exponential backoff retry and cross-environment playback are realized.

The invention provides an embedded trapping service method and system for a power monitoring system in a cloud native environment, and the method comprises the steps: employing form () + exc () to generate trapping sub-processes with the same port and certificate as a real service thread in the same service container, and enabling the trapping sub-processes to share a file descriptor table but to have an independent scheduling context; probability-network segment double-factor redirection is executed on the ingress flow through an eBPF / XDP program; an entropy-length-keyword three-factor linear model is used in the trapping sub-process to calculate attack confidence C, when C is larger than or equal to 0.7, an index is triggered to backoff a blacklist, and the forbidding duration Tk is calculated; the power protocol standard Fin-Frame is sent to the forbidden source IP, TCP is started for four times of waving, and no RST is generated in the whole process; sM3 hash + ECDSA signature is carried out on the call chain data, the call chain data are pushed to a traceability platform, and the call chain data are written into a tmpfs annular queue when a network is interrupted and are reported after recovery. High-concealment trapping, real-time banning and quitting under the condition of zero independent host are realized, and the detection and tracing efficiency of the cloud native power monitoring system to the Internet side attack is improved.

The application relates to the technical field of artificial intelligence, in particular to a man-machine interaction system based on an open source large model. The system comprises a user request unit which receives user multi-round dialogue input based on a context interception algorithm and an intention recognition mechanism, generates a context prompt word and a target intelligent agent identifier; a response processing unit which receives a standardized request generated by a platform scheduling unit based on an exponential backoff retry algorithm and a JSON path extraction function, extracts a target field, converts the target field into a structured answer; a knowledge management and state maintenance unit which updates each round of question and answer to historical context based on a context closed loop update mechanism and a binding relationship mapping mechanism, and feeds back the updated context to the user request unit. Based on the context interception algorithm and a semantic embedding classification model, the user multi-round dialogue is converted into a semantic prompt word, automatic target intelligent agent identifier mapping and intention attribution reasoning are completed, and high-precision identification of a request intention and dynamic binding of an intelligent agent are realized.