205results about How to "Improve scheduling ability" patented technology

The invention belongs to the technical field of cloud computing application, and particularly relates to a system and a method of cloud computing application automatic deployment. The system of the cloud computing application automatic deployment comprises a client-side, a submittal module and a clustering processing system. The client-side is used for submitting job requests. The submittal module is used for generating job description information according to the job requests, and submitting the job description information. The clustering processing system comprises a task node and a master control node. The task node is used for submitting task node information. The master control node is used for receiving the job description information and the task node information, adding the job description information to a corresponding job description information queue according to the job requests, and deploying a task to the task node according to the job requests and the task node information. The job description information of the system and the method of the cloud computing application automatic deployment is stored in different queues so as to be automatically deployed according to the job requests, time for searching for the job description information is saved, dispatching of the task is benefited, and dispatching performance of cloud computing is improved.

The invention provides a method for high-efficiency task scheduling of a heterogeneous multi-core processor. The method comprises the following steps of: clustering certain special tasks which are large in communication overhead and easy to cluster in a task image to a precursor node of the tasks by adopting a linear task clustering method; starting from a topological structure of the whole task image, selecting parameters capable of comprehensively reflecting the importance of the task in the whole task image as priority weights; selecting a free critical path node to perform allocation first, and if multiple free critical path nodes exist, allocating the free critical path nodes in a sequence from high to low according to the node priority weights, and allocating all non-critical path free nodes in a sequence from high to low according to the priority weights; performing redundancy judgment, and deleting redundant tasks in a scheduling result; and performing adjustment according to the scheduling result after deleting the redundant tasks, and recalculating the earliest finish time of each task. According to the method, the efficiency of the task scheduling of the heterogeneous multi-core processor is improved, the power consumption of the processor is reduced, and the performance of the multi-core processor is promoted.

The invention discloses a desktop virtual terminal entrusting method and a system. The method comprises the following steps that: network equipment receives a first login request from a user equipment (UE) and authenticates the UE; after the authentication passes, the network equipment distributes at least one virtual machine to the UE, wherein the virtual machine adopts a virtual machine identity (ID) identification; the UE and the virtual machine which corresponds to the virtual machine ID redirect the equipment; and the UE performs virtual desktop operation on the virtual machine. Through the scheme provided by the invention, desktop virtualization in which a terminal takes part in is safer, and the effects of storage ability and scheduling capability are improved.

The invention relates to a network managing and dispatching method of the body area network, and provides a dynamic dispatching method based on a double-beacon superframe mode. The dynamic dispatching method solves the time delay problem of exigency data uploading of the body area network. The double-beacon superframe mode with a beacon frame and a B2 frame being enabled together is adopted, a middle node carries out dynamic setting on priority of the node according to an alarm received in an EAP stage and data received by an MAP stage, and network resource allocation of the node is redistributed according to the priority at the same time. When current MAP remaining slot time cannot meet requirements for visit resources of an alarming node, the central node reconfigures network resources through the B2 frame and a dispatching command frame, a low priority cluster node is dispatched through the B2 frame, and network resources such as a visit slot time value and a visit cycle required by data uploading of a high priority node are met due to the fact that other slot time is occupied or visited. Single nodes with different priorities are dispatched and managed one by one through the dispatching command frame.

The invention discloses an adaptive configuration method for short-time variable big data job cluster scheduling. The method is a self-adaptive cluster scheduler configuration optimization method provided by aiming at the characteristics of cloud platform isomerism, cluster scheduler configuration optimization of dynamic load, isomerism of cloud platform load and short-time variability. Cloud platform loads can be divided into service applications and analysis applications, and different classifications are different in resource consumption and time requirements. According to the method, the configuration of the cluster scheduler is adjusted according to the state information of the job and the information of the cluster environment; the optimal scheduling configuration is always kept; therefore, the operation performance is improved, the operation delay is reduced, the heterogeneous load of the cloud platform can be better adapted, and the optimal configuration item corresponding to the current cluster state can be better found, so that the waiting time of the cluster operation is close to the minimum, the operation efficiency is improved, and the short-time variable big data operation is effectively scheduled.

The invention discloses a cell control method and a cell control system which belong to the field of communication. The method comprises the steps that an instruction message for activating an auxiliary cell is sent to a second base station by a RNC (Radio Network Controller) so as to enable the second base station to stop sending data in a downlink channel of the auxiliary cell according to the instruction message for activating the auxiliary cell; an instruction message for returning to a detection mode is sent to a first base station by the RNC so as to enable the first base station to return to detect the encoding mode of an HS-DPCCH (High Speed -Dedicated Physical Control Channel) of the cell according to the instruction message for returning to the detection mode; and an instruction message for stopping detecting the channels of the auxiliary cell is sent to UE (User Equipment) by the second base station or the first base station so as to enable the UE to stop detecting the channels in the auxiliary cell according to the instruction message for stopping detecting the channels of the auxiliary cell. According to the method disclosed by the invention, the auxiliary cell is activated and deactivated under the control of the RNC or the main cell or the auxiliary cell, so that the in-consistent problem of the HS-DPCCH at a network side and the UE side in activating and deactivating processes is effectively solved, a void interface data transmission problem after the deactivation of the cell is solved, the scheduling property of the network side can be effectively improved, and the power saving of the UE is facilitated.

The embodiment of the invention discloses an intelligent irrigation system based on the wireless Internet of Things. The intelligent irrigation system comprises an irrigation system body, a central control unit, a zone controller, an irrigation control module, a sensing control module and a mobile client terminal, wherein the central control unit, the zone controller and the sensing control module are located inside the irrigation system body, the zone controller controls the sensing control module through a ZigBee wireless communication module, the central control unit controls the zone controller through a ZigBee wireless communication module, the zone controller controls the sensing control module through the ZigBee wireless communication module, sensor data measured by the sensing control module are transmitted to the zone controller through the ZigBee wireless communication module, and the zone controller transmits the sensor data to the central control unit through the ZigBee wireless communication module. Timing irrigation can be set at the near end of the intelligent irrigation system through buttons, irrigation operation can be carried out at the far end through mobile phone operation at any time and any place, and one-touch operation is supported.

The invention discloses a queue scheduling method based on a timer and MDRR, which is based on a differentiated service model and is mainly composed of three parts of a Time timer, a real-time weight updating algorithm a modified weighted round robin (MDRR) scheduling algorithm, wherein the Time timer is mainly used for controlling the scheduling of a high priority queue, ensures that the queue can obtain higher service quality and ensures fairness in the network; according to the real time situation of the data flow in the queue, the weight parameter in the MDRR scheduling algorithm can be dynamically changed; and when service amount is overlarge, the weight is properly enlarged to ensure effect on other queues is lowered to the minimum. The method realizes the scheduling with configurable support queue number and adjustable rate, and has good expandability and simple operation.

The embodiment of the invention provides a scheduling request processing method and device. The method comprises the following steps: a terminal determines specific indication information or a combination of specific indication information carried in an SR, and an SR resource used by the SR corresponding to the specific indication information or the combination of the specific indication information; the terminal sends the SR carrying the specific indication information or the combination of the specific indication information to the network side equipment according to the SR resource, wherein the specific indication information or the combination of the specific indication information is used for assisting the network side equipment to perform the scheduling, the specification indication information or the combination of the specific indication information carried in the SR is used for assisting the network side equipment to perform the scheduling.

The embodiment of the invention provides an intelligent visual ship perception system based on a cloud platform and a data processing method. The system comprises an information acquisition module, afirst information sending module, a local cloud platform data fusion processing module; a second information sending module and an information visualization module, Video information and AIS information acquired by the information acquisition module are sent to the local cloud platform data fusion processing module through the first information sending module. The local cloud platform data fusionprocessing module can carry out target ship identification and target ship and ship AIS information matching tracking on ship operation video information so as to obtain matched target ship information, and the matched target ship information is sent to the information visualization module through the second information sending module to be displayed. According to the invention, the method achieves the accurate perception of the actual state of the ship, and improves the recognition and matching accuracy.

The invention provides an uplink measurement reference signal sending control method, comprising the steps that if user equipment is in a current sub-frame, a sounding reference signal (SRS) and a physical uplink shared channel (PUSCH) exists between uplink component carriers; or a physical uplink control channel (PUCCH) of the SRS and a non-truncation structure exists; or the SRS, the PUSCH and the PUCCH are sent at the same time, namely the sum of emission power of each physical channel and the SRS sent by the current sub-frame is calculated by the user equipment; and if the sum of the emission powers is more than the maximum emission power configured by the user equipment, power reduction is carried out. The invention further provides the user equipment. According to the uplink measurement reference signal sending control method, the reliability of the SRS sent by the PUSCH and/or the PUCCH is improved.

The present invention belongs to the locomotive/rail car work protection or control technology field, in particular relates to a multi-station yards-based locomotive/rail car dynamic tracking method and system. The method comprises the steps of using an MA server to position the positions of the locomotives/rail cars to the station yard concrete elements accurately, and sending the concrete locomotive/rail car position information to a querying server; using the querying server to screen and tidy the multi-station yard data and the locomotive/rail car position information sent by the MA server, and sending to a client; using the client to draw a station yard diagram according to the loaded station yard basic data, and using the client to real-timely receive and load the locomotive/rail carposition information and draw the locomotives/rail cars on the station yard diagram, thereby real-timely and dynamically tracking the station yard locomotives/rail cars. According to the application,the locomotive/rail car high-precision positioning, the locomotive/rail car multi-station yard real-time and dynamic tracking and the multi-station yard information automatic splicing can be realized.

The invention relates to a streaming media server acceleration method and a streaming media server acceleration system based on a graphics processing unit GPU, belonging to the technical field of video-on-demand systems and network coding. In the invention, network coding computation is accelerated by utilizing the strong parallel computing power of the GPU; the GPU of a server side joins in computing the network coding, so that the network coding throughput rate of the server is greatly improved, and a CPU (central processing unit) is ensure to set aside time to dispatch other systems. The invention can solve the system bottleneck caused by the coding ccomputing cost in the traditional network coding application scene, achieves the purpose of improving the computing power by only using the GPU with the price much lower than that of the CPU, and greatly improves the system response speed. The invention has a high application value in the streaming media service field based on the network coding.

The invention discloses a wind power plant cluster scheduling method with consideration of prediction error distribution characteristics. The wind power plant cluster scheduling method is specifically used for scheduling a wind power plant cluster. The wind power plant cluster scheduling method has the advantages that historical error probability distribution characteristics are analyzed by a statistical process on the basis of historical predicted wind power data, and an optimization objective includes minimizing the sum of values of mathematical expectation of shortage of wind power outputted by various wind power plants after active power instructions are issued by the wind power plant cluster, so that active power instructions which are issued by a system to the wind power plant cluster can be completed to the greatest extent; by the method, power difference caused by the fact that active power outputted by existing wind power plants cannot meet cluster scheduling requirements due to wind power active prediction errors can be reduced, system scheduling participation ability of the wind power plants is improved, and accordingly the system scheduling pressure is relieved.

The invention provides a micro-service calling method based on a block chain. The method comprises the following steps: receiving a service calling request sent by a micro-service calling party; querying the service registration information of the micro-service in the block chain network according to the service calling request, and taking the queried micro-service as a potential calling micro-service, wherein the service registration information of the micro service is pre-stored on a block chain node in the block chain network; and obtaining the historical calling amount of each potential calling micro-service, and calling the potential calling micro-service according to the historical calling amount of each potential calling micro-service. According to the invention, cross-terminal resource scheduling is realized, and the unified management capability of various resources is enhanced.

The invention relates to an isomerous CMP (Chip Multi-Processor) static state task scheduling method. The method is characterized in that 1, all tasks conforming to task merger conditions in a DAG (Directed Acyclic Graph) are incorporated into parent tasks by using a linear cluster method; 2, the DAG is layered according to a top-to-bottom method, and the smaller the layer value is, the higher the task priority is higher; a key task has the highest priority in the tasks of the same layer, and other non-key tasks are added into a dispatching list according to the descending order of task priority weight numbers; 3, a primary task is obtained from the dispatching list for distribution, the copied tasks in a task mapping graph are subjected to redundancy detection layer by layer, and redundancy tasks in the task mapping graph are deleted; the task mapping graph from which the redundancy tasks are deleted is adjusted, and the earliest execution completion time of each subsequent task is recalculated.

The invention discloses a scheduling method and a base station for a multi-carrier system. The method includes: in each subcarrier used by a user equipment UE, the base station obtains predetermined information of the UE, wherein the predetermined information includes: channel quality indicator CQI information and hybrid automatic repeat request HARQ information; the base station determines the priority value of the UE according to the predetermined information; the base station schedules multiple UEs according to the sequence of priority values ​​of multiple UEs from large to small. The invention improves the scheduling accuracy, thereby further improving the scheduling performance.

The invention discloses a power grid dispatching personnel training simulation system. The system comprises an automatic dispatching simulation model, a dispatching chamber model, an electric system model, a telecontrol equipment model and an instructor simulation model. In the system, a trained dispatcher can feel personally on the scene, the dispatcher can be trained to carry out various anti-accident actions, and the actual dispatching capacity of the dispatcher can be effectively improved. In addition, the electric system model and the telecontrol equipment model can be used for carrying out digital simulation on an actual electric system and actual telecontrol equipment respectively, and the steady state and dynamic behaviors of the actual electric system and the real effect of all links of a telecontrol system on dispatching of an automatic data collecting system can be realistically simulated. The invention further discloses a power grid dispatching personnel training simulation method, and it is further shown that the actual dispatching capacity of the dispatcher can be effectively improved in the scheme.

The invention provides a method and device for scheduling time delay sensitive traffic in a line route, and the method comprises the steps: determining the minimized packet sending transmission starttime corresponding to to-be-sent time delay sensitive traffic; obtaining all simple paths, and calculating the weight of each simple path; arranging the simple paths from small to large according to the weights to obtain an ordered path set; converting a first path in the ordered path set into an edge set composed of nodes; judging whether an edge overlapped with the issued path exists in the edgeset or not; if so, determining whether each flow meets the constraint conditions that the flows do not conflict with each other and only one flow is transmitted on each edge of each time slot when the flows are transmitted on the corresponding time slot; if so, generating a gating list according to the occupied time slot and the minimized packet sending transmission starting time; issuing the gating list to the switch, and returning the packet sending transmission starting time to the sending end. Therefore, the number of schedulable flows can be increased, and the synthesis time of the scheduling configuration scheme can be reduced.

An infusion planning system that improves timeliness and efficiency of patient care and includes methods, systems, and apparatuses for planning, visualizing, and coordinating medication delivery. These methods, systems and apparatuses can include improved scheduling capabilities for infusion pumps and other medical devices in hospitals or health care facilities. Some embodiments relate to improved recording and reporting of medical care information as well.

The invention discloses a method for scheduling resources, which is used for obtaining resource scheduling through a space division multiplexing method and improving scheduling performance. The method includes that whether user equipment is located in a central area or a margin area is determined; when the user equipment is located in the margin area, user equipment is selected from margin-area user equipment which belongs to a different radio remote unit (RRU) from the user equipment in the margin area to be paired with the user equipment in the margin area; identical resources are allocated for the paired user equipment; and when the user equipment is located in the central area, resources are allocated for the user equipment in the central area independently. The invention further discloses a device for achieving the method.