48 results about "Execution planning" patented technology

Systems and methods implementing a demand-driven workload scheduling optimization of shared resources used to execute tasks submitted to a computer system are disclosed. Some embodiments include a method for demand-driven computer system resource optimization that includes receiving a request to execute a task (said request including the task's required execution time and resource requirements), selecting a prospective execution schedule meeting the required execution time and a computer system resource meeting the resource requirement, determining (in response to the request) a task execution price for using the computer system resource according to the prospective execution schedule, and scheduling the task to execute using the computer system resource according to the prospective execution schedule if the price is accepted. The price varies as a function of availability of the computer system resource at times corresponding to the prospective execution schedule, said availability being measured at the time the price is determined.

Systems and methods are disclosed for executing services in an advanced planning environment. The services may comprise planning service that are executed using one or more objects stored in a database. Further, a planning profile may be provided, the planning profile including at least one process block containing a list of planning services to be executed. A method for executing services may include reading the planning profile, including a selection profile of the at least one process block of the planning profile. The selection profile may comprise selection criteria for specifying which of the objects stored in the database are required for processing the at least one process block. Further, the method may include accessing the objects stored in the database based on the selection criteria of the selection profile, and executing each planning service in accordance with the list of planning services and the objects accessed from the database.

An electronic system is provided for facilitating configuration management of a service or application distributed over a plurality of nodes that can be in single datacenter or network or span multiple ones The system includes a receiver for receiving a system model, a reasoner, and a workflow engine. The reasoner automatically processes the system model received by the receiver to produce an executable plan for the distributed service. The workflow engine includes a temporal sequencer for dispatching commands to the nodes to carry out the executable plan in a temporally coordinated manner, thereby providing the distributed service. Also provided is a method for facilitating configuration management of a distributed service.

Temporally classifying and visually representing network and IT infrastructure with planned or occurred configuration activities and / or policy compliance or non-compliance of network and IT resources, including a method, apparatus and computer program for gathering and classifying observable configuration aspects of resources and relationships in a network of resources, wherein the method comprises: analyzing the network of resources to collect planned configuration times and actual resource status; monitoring actual resource status to make determinations if planned configurations are executed; and updating a network configuration status with the determinations. Planned and actual configurations are collected and monitored over a defined time range extending before and / or after a time zero. Each planned or actual configuration is categorized with respect to one or more time windows in the defined time range.

Embodiments of the disclosure are directed to methods, systems and computer program products for performing a planned workload switch. A method includes receiving a request to switch a site of an active workload and stopping one or more long running processes from submitting a new request to the active workload. The method also includes preventing a new network connection from accessing the active workload and processing one or more transactions in a queue of the active workload for a time period. Based on a determination that the queue of the active workload is not empty after the time period, the method includes aborting all remaining transactions in the queue of the active workload. The method further includes replicating all remaining committed units of work to a standby workload associated with the active workload.

The invention discloses a posterior ideal plane analyzing method based on actual power grid operation data. The method comprises the following steps of: by using information, such as operation mode, load requirement, standby requirement and the like, in the power grid actual operation, as input information of power generation plane optimization, figuring out an optimal ideal dispatching plan according to a set optimization target; and comparing the difference between the ideal dispatching plan and an actual executing plan so as to evaluate an ideal dispatching optimization space. And by using the posterior ideal plane analyzing method based on the actual power grid operation data, disclosed by the invention, is used for analyzing the reasonability and effectiveness of SCUC / SCED (Security Constrained Unit Commitment / Security Constrained Economic Dispatch) model and algorithm, reflecting the instruction degree of the power generation plan to the actual production and promoting the practical and engineering applications of SCUC / SCED.

A system comprised of trigger mechanisms, a staging area, and an archived warehouse metadata table is used to extract, store, and archive extract, transform, and load (ETL) tasks from operational metadata in a data-warehousing environment. Operational metadata is comprised of ETL information; ETL task execution statuses, run number, definitions, control flow, and execution schedules. Specified ETL information is monitored and captured so that it may be extracted from operational metadata and transformed every time a trigger mechanism activates an update of stored data. Administrator-specified ETL task information is then stored in staging table. At specified intervals a staging table is refreshed with changes in operational data for each of the administrator-specified monitored and captured ETL tasks. Overwritten data, or outdated ETL task information, is then moved and stored in an archived warehouse metadata table. In one embodiment, archives are queried to generate reports analyzing the status of ETL tasks.

Methods and systems of managing computer cloud resources, including at least one database, at least one server configured to, act as an orchestration site, wherein the orchestration site is configured to receive at least one cloud resource management plan from at least one user and store the at least one plan in the at least one database and act as an orchestration manager. The orchestration manager is configured to retrieve the at least one plan from the at least one database and execute the plan with at least one site controller.

The invention provides a resource description framework (RDF) distributed engine and an incremental updating method. The RDF distributed engine is deployed on a computer cluster. The method comprises: receiving a query language and an SPARQL statement through a master node; analyzing the SPARQL statement to be converted into a query sub-graph; determining corresponding slave nodes of RDF data in the SPARQL statement from N slave nodes, and generating an operation log and an executive plan according to the query sub-graph; sending the SPARQL statement, the executive plan and the operation log to a backup manager in the master node, and sending the SPARQL statement and the executive plan to the corresponding nodes; and performing backup on the data in the corresponding slave nodes, and updating a memory in an incremental mode by the corresponding slave nodes according to the executive plan. In the process, a query analyzer capable of analyzing the SPARQL statement is added, so that the RDF distributed engine can support a data updating statement and then support a dynamic data source.

The invention provides a path mode inquiring system for massive image data. The path mode inquiring system comprises data storage service module, a data updating module, a coordination service module, an inquiring management service module and a parallel calculating service module. The data storage service module is used for storing image data at distributed clusters and providing data reading functions for other modules. The data updating module is used for combining updated blogs into data files. The coordination service module is used for coordinating status synchronization of service computers during calculating. The inquiring management service module is used for managing member computers, preprocessing inquiries, distributing inquiring tasks, and collecting inquiring results. The parallel calculating service module is used for executing actual inquiring services. By the path mode inquiring system, users' inquiring of massive image data is facilitated greatly, and inquiring execution of massive image data is improved to a great extent.

An enhanced automated teller machine (ATM), system and method for securely authenticating and enabling a financial transaction at the ATM. The method includes receiving at a central computer system, planned transaction data representing a future financial transaction. The central computer system generates first and second verification information, sends electronic data including the first verification information to the ATM, and sends electronic data including the second verification information to a user device. The central computer system receives multiple sets of electronic data from a user device and multiple sets of electronic data from the ATM. Multiple comparisons of certain sets of the electronic data from the ATM to certain sets of the electronic data from the user device are conducted at the central computer system. If the comparisons result in positive verifications, the central computer system sends electronic data including instructions for the ATM to execute the planned financial transaction.

The invention relates to a data online gathering method in a cloud computing environment. The method comprises the steps of setting an SQL (Structured Query Language) query statement Q according to requirement of a user by an SQL interface module at an application interference layer, and transmitting the SQL query statement Q to a query processing layer; analyzing the received query statement Q through a grammar analyzing module, and transmitting an analyzing result to a MapReduce online performing plan module; starting MapReducer operation by the MapReduce online performing plan module if the analyzed query statement Q is query on account of a single form, starting two MapReduce operations by the MapReduce online performing plan module if the analyzed query statement Q is on account of query of a plurality of forms, processing a query request of the query statement Q through an online gathering processing layer according to one or two received MapReduce operations, and transmitting a processing result to the application interface layer for display. The data online gathering method can be widely applied to the cloud computing environment.

Scanning is disclosed. A system is monitored to detect object events. A risk level is determined for an object event, and a scan is scheduled for an object associated with the object event according to the risk level. The risk level may be based on the risk level of the object type, and on the risk level of the operation. An immediate on access scan may be scheduled for a first risk range, a differential scan may be scheduled for a second risk range, and an incremental scan may be scheduled for a third risk range. The scheduled scan is performed.

The invention discloses a realization method of full-text retrieval based on a Spark framework and belongs to the field of big-data processing. According to the method, a to-be-executed SQL statementis received, and a syntax tree is generated and converted into corresponding logic plans; metadata of retrieving all tables are retrieved from Hive, fields supporting full-text retrieval are sought, and data blocks are initially cropped through field hash indexes; disk locations where the data blocks are specifically stored are acquired from file metadata according to a query condition; the logicexecution plans are converted into a set of tasks which can be executed in a distributed manner, and target nodes and target processes where the tasks are specifically executed are determined throughall the data block locations; and the tasks are distributed and executed, execution results are summarized, and a final result is acquired by iteration. The method has higher efficiency, can quickly complete full-text retrieval of massive data, has very high practicality and a very large application range in the field of big-data processing, and has very wide application prospects.

The invention relates to database technologies and specifically relates to a database query plan optimization system and method. The system comprises a database, a statistical database, a query optimizer, a query assembly and a query plan optimization assembly, wherein the query plan optimization assembly comprises a monitoring component and an adjusting component; the monitoring component is used for detecting the changes of the database; the adjusting component is used for submitting a query based on a middle process according to feedback information of the monitoring component and completing the updating of the statistical database; and the query optimizer is used for constructing a query plan according to the statistical database and finishing the query plan by virtue of the query assembly. The database query plan optimization system and method have the beneficial effects of reducing the cost for executing the plan, avoiding time-consuming data scanning, timely updating statistical data, preventing query contents exceeding a known range, improving accuracy of cardinality estimation so as to improve query efficiency, allowing the optimized query plan to be executed, and ensuring the reliability, accuracy and high efficiency of the query plan.

Methods and systems of managing computer cloud resources, including at least one database, at least one server configured to, act as an orchestration site, wherein the orchestration site is configured to receive at least one cloud resource management plan from at least one user and store the at least one plan in the at least one database and act as an orchestration manager. The orchestration manager is configured to retrieve the at least one plan from the at least one database and execute the plan with at least one site controller.

The invention relates to a processing method for speed feedforward and torque feedforward in a CANopen servo system, which comprises the steps that a trajectory planner receives a target control command and calculates the type of position instruction curves, the position of an acceleration turning point and the position of a deceleration turning point; the trajectory planner judges whether servo control is started or not; if not, a speed feedforward curve, a torque feedforward curve and the position instruction curves are all zero; if so, a position accumulated value planned up to the previous servo control period is compared with the acceleration turning point position, the deceleration turning point position and a target position, acceleration planning, deceleration planning, constant speed planning or non-execution planning is executed according to a comparison result so as to acquire a speed feedforward value and a torque feedforward value of the current servo control period; a position increment value of the current servo control period and a position accumulated value planned up to the current servo control period are calculated; a plurality of position increment values form a position increment instruction curve, a plurality of position accumulated values form a position accumulated value instruction curve, a plurality of speed feedforward values form a speed feedforward curve, and a plurality of torque feedforward values form a torque feedforward curve.

The invention discloses a community security personnel scheduling method based on gridding. The method comprises the following steps: firstly, dividinga patrol area of a community into a plurality ofgrids; then, collecting information of character individuals in the grids through information collection equipment; identifying the existence of the individual from the individual information acquiredby the information acquisition equipment; counting the number of activity individuals of each grid in a unit time period according to the acquisition time of the individual information, finally making a patrol scheduling plan according to the number of activity individuals of each grid in at least one unit time period, and sending the plan to a terminal equipped for security personnel to enable the security personnel to execute the plan. According to the method, the patrol plan is formulated in a more scientific manner, so that patrol personnel matched with the required number can perform security work in regions with different pedestrian flows, manpower resources are not wasted, and more personnel can be arranged for patrol in regions with large pedestrian flows so as to discover and solve crimes and accidents in time.

A planning system for an autonomous work vehicle system includes a controller configured to determine a plan for the autonomous work vehicle system by reducing a cost function, and to output one or more signals indicative of the plan and / or instructions to execute the plan. The plan includes a route of the autonomous work vehicle system through a field, and the cost function includes multiple costs associated with operation of the autonomous work vehicle system.

Systems and methods of prioritizing execution of plans for obtaining and / or processing data based on partial execution of the plans are presented herein. In certain implementations, one or more plans may be executed. Costs associated with individual ones of the plans may be estimated based on partial execution of respective ones of the plans. Based on a comparison between the estimated costs, the execution of at least one of plans may be prioritized over at least the execution of the other ones of the plans.

Vulnerability testing of a web application can be done using external testing, wherein an external test system runs with permissions of a user of the web application and interacts with the web application over a network, the external test system might obtain a schedule for a vulnerability test, execute the schedule using the external test system, log at least portions of responses of the web application to interactions of the external test system with the web application, compare portions of the responses to expected possible responses associated with particular possible vulnerabilities of the web application, thereby detecting possible vulnerabilities of the web application and, for at least one detected possible vulnerability, generating a retest script that comprises at least instructions to place the web application in a state at least similar to the state at which the at least one detected possible vulnerability was detected during execution of the schedule and that comprises at least instructions to interact with the web application in an attempt to recreate the detection without requiring reexecution of the schedule.

The invention discloses an EHK rule engine and a realization method of the EHK rule. The EHK rule engine comprises a rule base, a fact base and an inference engine, wherein the inference engine caries out mode matching, plan execution and engine execution, the rule engine sequentially receives an information element from a queue manager and checks rules in a rule set carried by the information element according to the defined sequence of the rule, after the checking on all of the rules in the information element is completely executed, the information element isdestroyed, and the rule engine continuously receives a next information element from the queue manager. The EHK rule engine and the realization method have the advantages that various scenes can be intelligently triggered according to the equipment state, the operation can be freely defined by a user, relevant operation is executed according to specific conditions, and in addition, the executing efficiency is very high.

A logistics-solution intranet system of the present invention includes a data bank that stores information regarding predetermined logistics, planning means that plans a process of a logistics solution based on the information regarding the predetermined logistics, execution means that transmits execution process information that an operation target device executes, based on the process planned by the planning means, a controller that transmits a work state of the operation target device, optimum process deployment means that controls the entire logistics-solution intranet system based on the information regarding the predetermined logistics, and a network that mutually communicatively couples the planning means, the execution means, and the optimum process deployment means to the controller, and the planning means, the execution means, and the optimum process deployment means are executed in a communication information process (a conversation method), and use identical hardware to be configured using an identical operating system.

The invention relates to a measuring and risk evaluation method of executive capability of a scheduled task. The method comprises the following steps that firstly, a Markov decision-making process of the scheduled task is built, and the optimal solution of the Markov decision-making process is calculated in an existing method; secondly, the optimal execution path of each state is calculated, and calculation results are stored in an optimal execution path set; finally, according to a task execution time unit, a plan trace and evaluation method (PlaTE for short) is executed repeatedly until the task success rate reaches an expected index or time consumed by task execution exceeds an appointed limitation. The method is beneficial to improving a commanding, dispatching and management decision level, and has positive practical significance.

The invention provides a distributed database and a management method for data operation of the same. The distributed database comprises a management cluster used for receiving an instruction of a user, analyzing and optimizing the instruction and generating executive plan and schedule, a basic operation layer cluster used for receiving the executive plan from the management cluster and performing operation based on business tables distributed on nodes, and a summarized result operation layer cluster used for receiving data distributed by the basic operation layer cluster to perform operation. When the data does not have locality, data summarization and interaction can be realized, the use of network resources between the nodes can be reduced, and operation node resources of the distributed database can be more balanced.

The invention discloses a task execution control method and device of wearable equipment. The method comprises the following steps: acquiring a task schedule provided by a server; analyzing the schedule to obtain planned tasks, and obtaining execution strategies of the planned tasks from a preset strategy library according to the types of the planned tasks; executing the planned tasks within a time range designated by the planned tasks, and correspondingly acquiring activity data generated by a sensor in the wearable equipment according to the execution strategies of the planned tasks; after each planned task is executed, submitting all the activity data acquired by each planned task within the designated time range to the server, and judging the completion degree of the task schedule by the server to generate a corresponding excitation strategy; receiving and analyzing the excitation strategy pushed by the server, and during activation of corresponding notifications, allowing or forbidding at least one planned task according to the excitation strategy. The wearable equipment disclosed by the invention is more humanized; the time point of task setting to the time point of completion of tasks to the time point after the tasks are completed are in cohesive relation; the wearable equipment has continuity in habit development.

The invention discloses an abnormal behavior detection and guide safety method for a control software of a wind generation set for safety detection and treatment when a main control software of the wind generation set is operated. The method comprises the following main points of: 1) firstly, taking a instruction stream executed and output by a main controller of the wind generation set to an abnormal behavior detection and handling system independent of the main controller of the wind generation set, wherein the system detects that the software is abnormal in behavior as the command executed by the main controller of the wind generation set is deviated from a binary source code of the control software; 2) after detecting an abnormal behavior, switching a communication path by the abnormal behavior detection and handling system to achieve takeover of the wind generation set; and 3) after controlling the abnormal behavior detection and handling system taking charge of control of the wind generation set, the main controller of the wind generation set is shut down firstly, and the wind generation set is shut down in a normal shutdown mode. The technical scheme provided by the invention can detect abnormal behaviors of a main controller software of the wind generation set which goes wrong or executes a code out of a plan, and guides the wind generation set to be safe.

An engine control system for managing a schedule of execution of engine control tasks is provided. The system works to schedule execution of the engine control tasks upon receipt of requests to initiate the engine control tasks. The system determines a sequence of execution of the engine control tasks and allocates execution times for which the engine control tasks are to be executed so as to provide chances of execution of the engine control task as evenly as possible. The system may determine required time-sharing ratios of the engine control tasks based on statuses of execution of the engine control tasks.

The application provides a method and system for supervising the execution of a scheme, and relates to the field of intelligent terminals. The method comprises acquiring a planned scheme associated with health; giving a reminder notification according to the planned scheme, wherein the reminder notification is configured to remind the user to execute a certain task on time; obtaining an executioncredential for reflecting the actual execution state of the task; analyzing the execution credential to score a user's behavior. The method and system for supervising the execution of a scheme, on theone hand, prompts the user to execute the planned scheme by the reminder notification, and on the other hand, can promote the user to execute the planned scheme by scoring the behavior of the user.