293results about How to "Reasonable scheduling" patented technology

The invention belongs to the field of cloud computing application, and relates to method for task rely relation description, decoupling, parallel scheduling and the like in cloud service. Rely task relations are provided, and a decoupling parallel scheduling method of rely tasks are constructed. The method comprises first decoupling the task rely relations with incoming degree being zero to construct a set of ready tasks and dynamically describing tasks capable of being scheduled parallelly at a moment; then scheduling the set of the ready tasks in distribution type and multi-target mode according to real time resource access so as to effectively improve schedule parallelism; and during the distribution of the tasks, further considering task execution and expenditure of communication (E/C) between the tasks to determine whether task copy is used to replace rely data transmission so as to reduce the expenditure of communication. The whole scheduling method can schedule a plurality of tasks in the set of the ready tasks in dynamic parallel mode, well considers performance indexes including real time performance, parallelism, expenditure of communication, loading balance performance and the like, and effectively improves integral performance of the system through the dynamic scheduling strategy.

The invention discloses an electric heating comprehensive energy system scheduling method based on improved weak robustness optimization. According to the invention, the model description of the powerdemand response (DR) is compared and expanded to the electric heating comprehensive demand response (IDR), and the price type and excitation type comprehensive demand response is modeled; Under the low-carbon background, an electric heating comprehensive energy low-carbon dispatching model containing a combined heat and power generation unit, a pumped storage electric boiler, a heat storage electric boiler and a heat storage device is established, and the electric power constraint condition and the thermal power constraint condition are determined with the minimum comprehensive energy operation cost and the maximum benefit of a carbon emission transaction model as objective functions; Considering the uncertainty of wind power and comprehensive demand response, and the improved weak robustoptimization is utilized to process the uncertainty of the source load side to obtain an improved weak robust low-carbon scheduling model of the electric heating comprehensive energy system; And finally, an improved bacterial population drug tendency algorithm (BCC) is adopted for solving, and the effectiveness of the proposed model and algorithm is verified through examples.

The invention discloses a management system based on a shared bicycle and a method thereof. The system comprises the shared bicycle, an intelligent terminal, a server and a management platform. The management platform comprises a storage module used for storing system information, a setting module used for setting a shared bicycle parameter and a scheduling module used for regulating and controlling shared bicycle area distribution. A user sends bicycle using request information and/or bicycle returning request information to a server through the intelligent terminal. The server receives the bicycle using request information and/or the bicycle returning request information and sends the corresponding bicycle using request information and/or bicycle returning instruction information to the shared bicycle. After the user arrives at a destination, bicycle returning and payment are completed through the intelligent terminal. Through the server and the management platform, data processing and scheduling of the shared bicycle are completed. The system and the method have advantages that the user can immediately inquire and use the nearby shared bicycle through the intelligent terminal, which is convenient and fast; simultaneously scheduling of the shared bicycle is reasonable so that later-period maintenance and management cost is reduced; and practicality is high and a user experience degree is good.

The invention discloses a cloud computing based online processing task management system for monitoring video. The system is respectively connected with a client and a front end camera and comprises an intelligent video analyzing algorithm management module, a cloud resource management module, a cloud computing physical resource model and a virtual intelligent video analyzing server. The invention further discloses a cloud computing based online processing task management method for monitoring video. According to the method and system, a group of interconnected server groups in a data center is unified to be managed by the cloud computing technology, and the server groups coordinate to provide a user the intelligent monitoring video online processing task management service; the system is high in telescopic performance; the intelligent video analyzing algorithm can be dynamically configured as requirement, thus the management is convenient, and the cost is greatly reduced; in addition, the video processing task provided by the user can be reasonably dispatched to enable balanced load of the computing groups, and therefore, the resource utilization rate is increased, and efficient cloud computing service is provided to the user.

The invention discloses an uplink carrier scheduling method for an LTE (Long Term Evolution) carrier aggregation communication system. In the uplink carrier scheduling method, an eNb (evolved NodeB) configures all uplink CCs (Component Carriers) to UE (User Equipment) and configures an SRS (Sensing Reference Signal), the UE sends the SRS to the eNB through all the uplink CCs configured by the eNB, the eNB measures the SINR of the UE on each uplink CC based on the SRS sent by the UE, and the eNB judges whether the SINR (Signal to Interference Plus Noise Ratio) of the uplink CC exceeds a preset threshold; and if so, the eNB schedules the UE to carry out transmission on the uplink CC, or else, the eNB does not schedule the UE to carry out transmission on the uplink CC. The invention also discloses the eNB and the UE in an LTE carrier aggregation communication system. By using the uplink carrier scheduling method, the eNB and the UE, the eNB can clearly know the quality of the UE on each uplink CC, so that the eNB can make a decision based on the quality the uplink CC when judging whether to schedule the UE to carry out transmission on the uplink CC, thereby being capable of reasonably scheduling the uplink carrier.

The invention discloses a system and a method for scheduling a cloud storage resource. The system at least comprises a plurality of storage servers and a distributed cache server; the plurality of storage servers are used for feeding storage resource information of the server back to the distributed cache server via a distributed object cache interface at set intervals; and the distributed cache server is used for storing the storage resource information fed back by each storage server. Through a protocol interface of a distributed cache memory object, the resource information of each storage node is organized into a data format according with the protocol interface to be fed back quickly and timely, so that a cloud storage system can reliably and rationally schedule the storage resource.

The invention discloses a task scheduling method of a distributed trans-coding system comprising a plurality of trans-coding servers and user terminals, and a scheduling server arranged between the trans-coding servers and the user terminals. The method comprises the following steps of: registering information of each trans-coding server in the system in the scheduling server; feeding back the working state information of each trans-coding server to the scheduling server by each trans-coding server; and scheduling the corresponding trans-coding tasks to the corresponding trans-coding servers by the scheduling server in accordance with the working state information. The invention can ensure that the trans-coding tasks are more efficiently and more reasonably scheduled and system resources are saved.

This invention discloses a method for distributing system resources based on user service quality including: a base station tests current service quality of a user to determine the dispatch priority of the user and distributes the system resource based on the priority to distribute system resource to users with higher priority.

The invention discloses a public transit exclusive lane resource sharing method and a resource sharing system for guaranteeing bus rapid transit (BRT) priority. On the premise of guaranteeing the BRT priority, a common transit bus can enter a BRT bus exclusive lane to run according to the following control rules: (1) a control flow that the common transit bus borrows the BRT bus exclusive lane: calculating a distance between the common transit bus on a non-BRT bus exclusive lane and a BRT bus and marking the distance as d according to geographic location information, setting a minimum value as d borrow, when d is more than or equal to d borrow, determining that the common transit bus is allowed to borrow the BRT bus exclusive lane and enabling the common transit bus to freely select whether to enter the exclusive lane or not, otherwise preventing the common transit bus from entering the exclusive lane; and (2) a control flow that the common transit bus returns the lane after borrowing the BRT bus exclusive lane: sending a lane-returning control instruction to the common transit bus in front of the BRT bus when the distance D between the common transit bus and the BRT bus is less than the minimum safe distance d save, and making the common transit bus to pull out from the BRT bus exclusive lane in set time T. The method and the system effectively improve the utilization ratios of bus lanes.

The invention relates to a mobile phone APP vehicle information obtaining system and load balancing method and vehicle renting method. The mobile phone APP vehicle information obtaining system includes a mobile phone leasing APP, a network management platform, a sub service module and an electric automobile terminal controller, wherein the network management platform includes a member authentication service, a heartbeat and message pushing service, an APP service group and a member login status database, and the electric automobile terminal controller includes a leasing business module, an information interaction module, a vehicle returning module, a vehicle query and reserving module, a vehicle position function module, a vehicle state information function module and a charging pile query and reserving module. The mobile phone APP vehicle information obtaining system shares access pressure of mobile phone APP members and electric automobiles to different APP services and sub services through a sub service load balancer and an APP service load balancer, thereby achieving the purpose of load balancing and communication failover, and reducing system access pressure. Vehicle renting, vehicle returning, recording, accounting, charging and the like are completed in a self-help manner, and both time and labor are saved.

A logistics sending/receiving information recording and processing method comprises the steps: judging senders are ordinary senders or E-commerce sellers; judging whether two-dimension codes are generated; if so, generating and storing the two-dimension codes; or else, submitting tracking identification numbers to the E-commerce platform; scanning the two-dimension codes by logistics personnel, processing and then generating waybills to upload to the database of a logistics company, or binding the present tracking identification numbers and the two-dimension codes to upload the database of the logistics company; scanning the tracking identification numbers by the logistics company, taking receivers' address information from the database of the logistics company, automatically sorting the waybills according to the districts; dispatching the sorted waybills to the logistics personnel in the corresponding districts; scanning the tracking identification numbers by logistics personnel and taking receivers' information from the database of the logistics company; and automatically notifying receivers according the receivers' information and sending the items. In the logistics sending/receiving information recording and processing method, the informatization and automation of the whole logistics process can be realized; and the automation comprises automatic sorting during sorting process and automatic contacting with receivers during sending process.

The invention relates to a short-period electric generation power forecasting method applied to a photovoltaic electric generation system. The short-period electric generation power forecasting method is characterized by comprising two states that 1, the original electric generation power signals are subjected to empirical mode decomposition; and 2, a BP neural network forecasting model based on the genetic algorithm is built for each decomposition component. The short-period electric generation power forecasting method has the following major advantages that the accurate photovoltaic electric generation power forecasting is carried out in advance, the current flowing direction of the traditional electric grid and a photovoltaic electric generation microgrid is determined, a scheduling plan of an electric power system is made, and the operation cost of the electric power system is reduced; and meanwhile, the energy source storage plan can also be made in advance, the adverse influence on a large electric grid caused by intermittency and uncontrollability of the photovoltaic electric generation is reduced, and the market competitive advantage of the photovoltaic electric generation is enhanced. Meanwhile, the system also belongs to a precedent for applying the computer technologies such as the manual neural network and the genetic algorithm into the photovoltaic electric generation power forecasting, and higher novelty and practicability are realized.

The invention discloses a workflow unloading optimization algorithm in a mobile edge environment, comprising the following steps: step S1, constructing a workflow scheduling model under the mobile edge environment; step S2, accord to that topology structure, searching a critical path base on the local calculation amount of the workflow, respectively storing nodes and remaining node on the criticalpath into a key node queue and a remaining node queue and waiting for scheduling; step S3, after that eNB node is abstracted into a topology structure, accord to a user history moving path and combining with a prediction model, obtaining a qualified eNB set, and accord to the prediction probability, selecting an optimal unloadable eNB according to the prediction speed and the prediction direction, and providing the eNB to a user for performing task unloading; step S4, dynamically dividing that tasks accord to the scheduling strategy into local execution or unloading to the edge side for execution, and dynamically updating the critical path during the scheduling process; step S5, according to the scheduling result, assigning tasks to the devices under the mobile edge environment until thescheduling of the entire workflow is completed.

The embodiment of the invention discloses a scheduling method and a device for batched virtual machines. The method comprises the steps that the number of to-be-deployed batched virtual machines submitted by a user is obtained, and a configuration file of the batched virtual machines is obtained; the configuration file of the batched virtual machines includes the memory and hard-drive size required by each virtual machine; the configuration file of the batched virtual machines is used as the filtering condition, physical servers which do not accord with the filtering condition are filtered out from a physical server pool, and a candidate server set is obtained accordingly; the initial scheduling overhead values of the candidate physical servers are computed according to the virtual machine scheduling parameters of the candidate physical servers in the candidate physical server set; and the scheduling of the virtual machines is realized according to the initial scheduling overhead values. With the embodiment of the invention, the deployment time efficiency on the scheduling of the virtual machines is improved.

The invention provides a method for indicating user equipment (UE) capacity under a non-CELL_DCH state, wherein a radio network controller (RNC) indicates the radio access capacity information of a user terminal which is to receive data when transmitting the data mapped on a HS-DSCH under the non-CELL_DCH state. By using the method, a Node B can know the specific UE capacity and schedule according to the UE capacity, so as to reasonably schedule and allocate resources.

The invention relates to an industrial robot lease management system and an industrial robot lease management method based on a cloud platform. The lease management system comprises a remote monitoring module, the cloud platform, a remote start-stop control module, a monitoring center and a client, wherein the remote monitoring module includes a positioning module, a video monitoring module and anoperation state parameter monitoring module; the cloud platform includes a predictive maintenance management module and an information management center; the remote start-stop control module is usedfor performing remote switch control on an expiring industrial robot; the monitoring center is used by a lessor for performing centralized monitoring management on the leased industrial robot and publishing a start-stop control command for the industrial robot; and the client is used for publishing lease and lessee information. The invention provides the industrial robot lease management system and the industrial robot lease management method based on the cloud platform. The effects that the lessor monitors the usage situation of the industrial robot in real time, the number of maintenance personnel and the maintenance cost are reduced and the start and stop of the industrial robot are remotely controlled are achieved.

The invention discloses an intelligent traffic scheduling method and device of a bus station yard and a processing terminal. The method comprises the steps of acquiring the driving speed information,the position information and the number information of the passengers in the bus in real time; calculating the required time information to the next station according to the driving speed informationand the position information of an in-transit bus, acquiring riding intention information sent by clients, calculating the number information of the potential passengers of each line according to theriding intention information, calculating the passenger number information of each line according to the number information of the passengers in the in-transit bus, calculating the congestion degree of each line according to the riding intention information and the passenger number information, and sending a scheduling instruction to a target idle bus of the line if the congestion degree of a certain line is larger than a preset threshold. Buses of each line can be reasonably scheduled, so that the experience of passengers in riding buses is improved.

The present invention discloses a scheduling method for cloud workflow job. The method comprises: decomposing each cloud workflow job according to a DAG(Directed Acyclic Graph) flow chart of each cloud workflow job so as to obtain a plurality of mutually independent sub cloud workflow jobs; estimating the execution time of each sub cloud workflow job, wherein the sub cloud workflow jobs enters a waiting queue; according to SLA(Service Level Agreement), restraining and assigning priorities of the sub cloud workflow jobs; and scheduling the sub cloud workflow jobs by using reinforcement learning. The scheduling method for cloud workflow jobs provided by the present invention improves the resource utilization rate and the service quality in a cloud computing system.

The invention relates to a home user intelligent power use mode scheduling method. The method comprises the steps of constructing the classification model of a home user load, constructing the satisfaction model of a user to a home appliance, constructing a user power consumption cost model, constructing the overall average satisfaction model of the user, constructing an intelligent power dispatching overall model, and solving the constructed model through CPLEX and obtaining the scheduling scheme which is most suitable for a home user intelligent power use mode. Through the detailed classification of the home user load, the load can be reasonably and efficiently scheduled, a real-time power pricing mechanism is used to carry out requirement response of a user, on the basis of considering photovoltaic power generation, the problems of electricity cost and satisfaction concerned by the user are comprehensively considered, the economic efficiency of the user is improved.

The embodiment of the invention relates to the technical field of Internet, and discloses a data flow scheduling method, electronic equipment and a storage medium. In a part of embodiments of the invention, the data stream scheduling method comprises the following steps: obtaining identification information of a data stream, wherein the identification information of the data stream comprises any one or any combination of a source IP address, a target IP address, a source port, a target port and a network protocol of the data stream; determining the flow priority of the data flow according to the identification information of the data flow and a preset service strategy, wherein the service strategy indicates the corresponding relation between the identification information of the data flow and the flow priority of the data flow; scheduling the data flow to a corresponding network link according to the flow priority of the data flow and a scheduling strategy, wherein the scheduling policy indicates a correspondence between a traffic priority of the data stream and a quality priority of the network link. In the embodiment, the electronic equipment can schedule the data flow more reasonably, and a network link can be utilized more fully.

The invention discloses a resource scheduling method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of data computing in the field of cloudcomputing. According to the specific implementation scheme, the method comprises the steps of determining priorities of services in a preset number of services; obtaining the resource use condition of each service in the preset number of services; when a resource application request of a target service is received, responding to the resource application request according to the priority of the target service and the resource use condition of each service, wherein the target service is any one of the preset number of services. According to the scheme provided by the invention, the problem of low resource utilization rate in an existing service system is solved.

The invention discloses a control element canceling method. The control element canceling method comprises generating a media access control layer control element MAC CE when a trigger condition is satisfied; carrying out LBT (listen before talk) to a non-authoritative carrier cell of a base station; and canceling the MAC CE after obtaining an execution result of the LBT. The invention also discloses a control element canceling device and a terminal.

The embodiment of the invention discloses a resource scheduling method and device, and relates to the technical field of the resource management. The resource scheduling method and device are used for improving the use ratio of the cluster resource. The method is applied to a resource manager, the resource manager is used for managing and scheduling the cluster resource; the cluster comprises multiple nodes, R application programs adapted to a computing framework supported by the cluster are run on multiple nodes, and R is positive integer. The method comprises the following steps: the resource manager receives a resource request of each of R application programs; the resource manager acquires the historic feature information; the historic feature information comprises at least one of the first historic feature information and the second historic feature information; the resource manager schedules the resource for N application programs according to the first historic feature information and a first scheduling strategy; or the resource manager schedules the resource for at least one application program in R application programs according to the second historic feature information and a second scheduling strategy.