18 results about "Exponential backoff" patented technology

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.

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.

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 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 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.

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.

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 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 discloses a real-time voice transcription conversation whole life cycle management and control method and device, in the method, a double-provider isolation architecture is constructed, and an authentication path is selected according to a provider type identifier; a multi-scene bridging rule engine is constructed, a rule array is traversed according to priority, and an action function of a matching scene is executed; an audio stream state machine including processing, ending and heartbeat states is maintained for a voice transcription conversation, state switching is ensured not to interrupt an audio frame through delayed jumping; a WebSocket disconnection self-recovery mechanism is implemented, an exponential backoff strategy is adopted to rebuild a connection and recover a state machine; a three-level access control engine of extension set-relay-number is constructed, each level of verification is executed in turn, and transcription is allowed as long as a hit is made at any level. The application realizes multi-voice recognition service parallel access, full-scene intelligent start-stop, network fluctuation automatic recovery and fine permission management, and significantly improves the reliability and flexibility of the voice transcription function.

The invention discloses an information configuration method and system of a gateway device, a medium and a product, and the method comprises the steps: issuing an RPC configuration request message to a target gateway device, collecting the current effective actual configuration information of the target gateway device when an automatic repair condition is satisfied, and comparing the target configuration information with the actual configuration information; and when the comparison result is that the configuration is missing, issuing an RPC repair request message containing missing configuration information to the target gateway equipment. In addition, a binary exponential backoff algorithm is introduced to calculate the repair interval time of re-issuing of the RPC repair request message, and the configuration issuing condition of the gateway equipment is monitored in real time and automatic repair is carried out on the premise of fully considering the load of the gateway equipment. And meanwhile, by embedding a timed task module, secondary comparison and automatic repair are effectively carried out on the configuration information. By adopting the method and the device, the missing configuration information of the gateway equipment can be monitored and automatically repaired, the configuration accuracy is ensured, and the stability and the high efficiency of a network are improved.

The invention provides a file fragment breakpoint resume method and system based on a front-end adaptive network condition. A front end measures RTT, estimates bandwidth, identifies a network type and generates a network quality score through a detection request; dynamically determining the fragment size and the concurrent number according to the score, slicing the file, and generating a fragment index and the total fragment number. And executing full hash on the small file, and generating a file identifier on the large file by adopting sampling hash of a head section, a tail section and a random middle section. Persistently storing the file identifier, the network score and the uploaded fragment index; before uploading, an uploaded fragment list is pre-checked to the rear end, and missing fragments are calculated and only missing parts are uploaded. During uploading, network changes are monitored in a timing and event mode, parameters are dynamically adjusted, failure fragments retry according to exponential back-off, degradation is triggered, automatic pause is conducted when the network deteriorates, and recovery is conducted after stabilization. And after all fragmentation is completed, rear-end merging is triggered, and hash consistency is verified, so that the large file uploading efficiency and reliability in a weak network scene are improved.

This invention relates to a method and system for ensuring a communication link between a charging robot and a vehicle, comprising: classifying and sensing Bluetooth connection failure scenarios between the vehicle and the charging robot at the physical layer, link layer, and service layer; implementing Bluetooth adaptive reconnection based on a reconnection counter and an exponential backoff algorithm, performing a soft restart of the Bluetooth module before each reconnection; after the Bluetooth connection is established, performing service discovery verification, feature value read / write verification, and bidirectional heartbeat verification, determining the link is truly available and resetting the reconnection counter only when all three verifications pass; if any verification fails, the reconnection is determined to have failed, and the reconnection counter is incremented; when the reconnection counter value reaches a preset maximum reconnection threshold and the charging robot is in the pre-plugging stage, the charging robot establishes a mobile communication link with the vehicle through a mobile communication module and completes the remaining plugging operations through the mobile communication link. This invention possesses scene awareness capabilities, intelligent reconnection strategies, clearly defined failure exit points, and heterogeneous backup capabilities.

The invention discloses a resource dynamic scheduling and cost optimization method and system for intelligent operation and maintenance of an e-commerce platform, and the method comprises the steps: collecting the distribution condition of access traffic on a hash slot in real time, and calculating a spatial distribution entropy value and an entropy value change rate of the traffic; when entropy drift is monitored, dynamically calculating a fragment retention coefficient; a double-layer reservoir storage structure is constructed, and total resources are divided into local top-speed fragmentation resources distributed at edge computing nodes and global buffer resources residing at a central node; generating a dynamic routing rule, and preferentially performing local lock-free deduction on the edge computing node; when local resources are used up, a resource quota is dynamically applied from a center node through a cross-level borrowing protocol with an exponential backoff strategy. The self-adaptive deformation of the storage structure is realized through flow entropy perception, the resource islanding phenomenon is effectively avoided while the lock competition time delay is greatly reduced, and the optimal balance between the system performance and the operation and maintenance cost in the e-commerce high-concurrency scene is realized.

The application relates to the technical field of engineering simulation, and discloses a multi-working-condition parallel scheduling method and system based on an offshore wind power simulation platform, which comprises the following steps: state initialization is performed on a working-condition list in a single solving stage in an offshore wind power integrated simulation process to obtain an ordered task queue; the working conditions in the ordered task queue are dispatched to a solver backend by using a movable pointer type even distribution scheduling index; a configurable regular expression is used to identify the working conditions with transient I / O errors in the output stream of the solver backend; the working conditions with transient I / O errors are subjected to exponential backoff retry, and the working conditions after the exponential backoff retry are subjected to scheduling circulation; when the working conditions in the single solving stage reach a termination state, the working conditions in the next solving stage are subjected to parallel solving by using a cross-stage pipeline incremental readiness semantic, and the offshore wind power integrated simulation is completed. In the application, the resource utilization rate of the offshore wind power simulation platform is significantly improved, and the simulation calculation period is greatly shortened.

The invention discloses an Elasticsearch intelligent search method based on Spring Boot, and the method comprises the steps: converting a business peak value QPS into a thread pool and connection pool parameter through an area-geometry model, and achieving the zero-manual configuration; the uniqueness of the index name is checked through geometric coverage of a degradation circle, and the name duplication conflict is eradicated; a fom + size or search after paging path is judged and adaptively locked by using a'rectangular-square 'area, and deep paging linear increment pulling is completed through a'semi-plane vernier'; metadata is cached after a special field is reflected for the first time, subsequent query is directly reused, and repeated reflection is avoided; a three-level quantization formula of'change density D-sub-batch number B-consistency score Cidx 'is introduced, incremental updating is split into a minimum difference set, index back-off retry is matched, and finally Cidx is larger than or equal to 99%. According to the method, full-link intelligent closed loop from configuration, query and mapping to incremental synchronization is realized without manual intervention, the query performance of large data volume is remarkably improved, the development complexity is reduced, and the final consistency is ensured.