30 results about "Throughput (business)" patented technology

An automated system and method is provided for system architects to model enterprise-wide architectures of information systems. From an initial model of a proposed system architecture, performance metrics are modeled and compared against a set of user-defined corporate and business requirements. The performance metrics include cost, quality of service and throughput. For unacceptable metrics, modifications to the system architecture are determined and proposed to the system architect. If accepted, the model of the system architecture is automatically modified and modeled again. Once the modeled performance metrics satisfy the corporate and business requirements, a detailed description of the system architecture derived from the model is output. The model of the system architecture also enables a business ephermeris or precalculated table cross referencing enterprise situation and remedy to be formed. A rules engine employs the business ephemeris and provides indications to the enterprise user for optimizing or modifying components of the enterprise system architecture. Off line a mathematical modeling member provides feedback to further update the business ephemeris and rules base for the rules engine.

A method for guaranteeing control traffic throughput in an in-band network configured for delivering control and data traffic, and considering both local and global views of the communication network. The method includes determining an initial configuration for forwarding first control traffic from the packet forwarding device, wherein the initial configuration comprises a first in-band queue for receiving the first control traffic that is delivered over the control path to the controller via a port in the packet forwarding device, and a first bandwidth reserved for the first queue. The method includes performing handshaking with the controller by sending a request to the controller confirming the initial configuration using a network control protocol, and receiving a response from the controller in association with the request. The method includes confirming or modifying the initial configuration based on the response.

An apparatus and method for providing enhanced wireless communications, in which predetermined parameters are obtained by using an experiment in a wireless network environment to decrease traffic backoffs in real-time or increase traffic throughputs in non real-time, and the obtained parameters are used for access points and each station. The apparatus for providing enhanced wireless communications includes a storage unit for storing EDCA parameters and predetermined retrieval information corresponding to the EDCA parameters, the EDCA parameters decreasing traffic backoffs in real-time or increasing traffic throughputs in non real-time, a receiving unit for receiving information including at least one of access categories of data to be transmitted from each station connected to a network and a traffic load in real-time, a parameter retrieval unit for retrieving the EDCA parameters corresponding to the retrieval information selected by referring to the received information, and a transmitting unit for transmitting the retrieved EDCA parameters.

An apparatus provides an integrated single chip solution to solve a multitude of WLAN problems, and especially Switching/Bridging, and Security. In accordance with an aspect of the invention, the apparatus is able to terminate secured tunneled IPSec, L2TP with IPSec, PPTP, SSL traffic. In accordance with a further aspect of the invention, the apparatus is also able to handle computation-intensive security-based algorithms such as Diffie Hellman without significant reduction in traffic throughput. The architecture is such that it not only resolves the problems pertinent to WLAN it is also scalable and useful for building a number of useful networking products that fulfill enterprise security and all possible combinations of wired and wireless networking needs.

The embodiment of the invention discloses a log generation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a log file generated by executing atarget business, and enabling the log file to comprise at least one business log; identifying whether the log file comprises a preset target service log or not; and if the log file comprises the target service log, uploading the log file, otherwise, clearing the log file. Whether the log file is uploaded or not is determined by taking whether the log file contains the target service log or not asan uploading condition; only the log file containing the specified log can be uploaded and stored; other logs are cleared in time and are not stored any more, so that the throughput is improved, batch submission and batch processing are realized, the influence on user service processing is very small, and meanwhile, the logs are selectively controlled by utilizing uploading conditions, so that the log quantity can be greatly reduced, and the log availability is improved.

The invention relates to a business data control method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring test service data and a preset curve type; and fitting the test service data according to a preset curve type to obtain a throughput time delay curve corresponding to the test service data; determining a time delay threshold correspondingto the test service data, and solving the curve function based on the time delay threshold to obtain a first throughput in unit time and a second throughput in unit time; sequentially receiving to-be-processed target service data; performing corresponding service processing according to the received target service data, and controlling the quantity of the target service data subjected to service processing in unit time to be kept between the first throughput and the second throughput. By adopting the method, the system performance of the service data processing system can be stabilized.

The invention provides a garbage recycling method. The storage system determines a first time period according to the business pressure value of the storage system in the historical time period, where the business pressure value of the storage system in the first time period is lower than a set threshold value, and the business pressure value of the storage system in the historical time period is obtained according to any one or more of IOPS, IO size, data read-write proportion, deduplication compression proportion and throughput; therefore, the storage system can carry out garbage collection in the first time period with the small business pressure value. Therefore, the storage system can have more blank logic block groups to support the storage system to quickly write a large amount of new data in other time periods, so that the influence of garbage collection in the other time periods on the IOPS and other performances of the host can be reduced, and the performance of the host when the host has a large amount of data write-in tasks is improved. In addition, the embodiment of the invention further provides a garbage recycling device.

The invention discloses a loosely coupled distributed workflow coordination system and method, and the method comprises the steps: a user carries out definition, online, operation and maintenance of a workflow through calling an interface service API (Application Program Interface); a distributed workflow coordinator schedules the workflow in a timed manner by integrating a distributed timing engine Quartz, adds the workflow to a workflow distribution distributed message queue MQ, receives the workflow, processes the task dependency relationship of the workflow, and adds a business type task to be executed after coordination to the task distribution distributed message queue MQ; a distributed task actuator Worker receives each business type task from the task distribution distributed message queue MQ and executes the business type tasks, and the task execution result is called back to the distributed workflow coordinator through the task callback distributed message queue MQ; and finally, the Coordinator persistently stores a task execution result in a database for feeding back the result to a user. According to the method, Coordinator is focused on logic coordination processing, so that full decoupling of workflow coordination processing and task execution is ensured, and the throughput, expansibility and scalability of the system are improved.

The invention provides a three-dimensional log full-link monitoring system and method, a medium and equipment, and the system comprises a log analysis platform which collects application logs, and carries out the filtering, desensitization, storage, query and alarm of the application logs; the full-link tracking platform is used for collecting related data based on an application performance monitoring system SkyWalking, and analyzing and diagnosing the performance bottleneck of the application under the distributed architecture; and the monitoring platform is used for monitoring infrastructures, application performance, middleware and business operation indexes and controlling performance conditions of each access system, including application response time, throughput, slow response and error details, JVM and middleware states and business indexes. According to the method, logs and full-link tracking are combined, end-to-end transactions are associated in a micro-service scene, problems can be quickly positioned and analyzed by directly searching the logs and tracking the call chain, and the problem positioning complexity is reduced.

The embodiment of the invention provides a method, device and equipment for distinguishing a splitting process based on an OGG technology, and the method comprises the steps: obtaining the statisticalinformation of a process, and determining the actual throughput of the process, wherein the statistical information comprises a target file; determining a pre-throughput according to the called log quantity and the conversion coefficient of the target file; judging whether the relationship between the pre-throughput and the actual throughput meets a first preset condition or not; and under the condition that a preset condition is met, splitting the process. According to the invention, the statistical information is obtained; executing and splitting processes are optimized; the process based on the OGG technology can timely respond to the data change caused by the change of the business system, the influence on the timeliness and consistency of the data due to the data synchronization delay caused by the sudden business change can be prevented, and the labor cost is reduced while the data extraction and replication efficiency of the OGG process is improved.

The invention provides an industrial device, a method, and a non-transitory computer readable medium. The industrial device supports device-level data modeling that pre-models data stored in the device with known relationships, correlations, key variable identifiers, and other such metadata to assist higher-level analytic systems to more quickly and accurately converge to actionable insights relative to a defined business or analytic objective. Data at the device level can be modeled according to modeling templates stored on the device that define relationships between items of device data for respective analytic goals (e.g., improvement of product quality, maximizing product throughput, optimizing energy consumption, etc.). This device-level modeling data can be exposed to higher level systems for creation of analytic models that can be used to analyze data from the industrial device relative to desired business objectives.

The invention discloses a smart factory-oriented random access resource optimization method and device. The method comprises the following steps: dividing the access priority of each service according to the delay sensitivity of different services; training a local model at a local end by adopting a reinforcement learning algorithm; carrying out global model aggregation on the local model parameters of each local end by adopting a federal learning algorithm at the cloud end, and establishing a shared machine learning model, wherein the reinforcement learning target is to maximize the number of successfully accessed users on the premise of ensuring the service quality requirements of various businesses; and utilizing the optimized shared machine learning model to realize access resource allocation, so that the system throughput is maximized and the overall production efficiency of a factory is improved on the premise of meeting the service quality requirements of various businesses. According to the invention, the resource utilization rate can be optimized and the network performance can be improved on the premise of meeting the delay requirements of various services in industrial production.