784 results about "Operation scheduling" patented technology

A system and method for scheduling jobs in a multiprocessor machine is disclosed. The status of CPUs on node boards in the multiprocessor machine is periodically determined. The status can indicate the number of CPUs available, and the maximum radius of free CPUs available to execute jobs. Memory allocation is also monitored. This information is provided to a scheduler that compares the status of the resources available against the resource requirements of jobs. The node boards and CPUS, as well as other resources such as memory, are arranged in hosts. The scheduler then schedules jobs to hosts that indicate they have resources available to execute the jobs. If none of the hosts indicate they have resources available to execute the jobs, the scheduler will wait until the resources become available. A best fit of job to resources is attained by scheduling jobs to hosts that have the maximum number of free CPUs for a radius corresponding to the CPU radius requirement of a job. Once the job is scheduled to a host, it is dispatched to a host and resources required to execute the job are allocated to the job at the host.

A hybrid vehicle includes a powertrain having a retarded diesel engine, an electric machine and energy storage system. The engine and motor are operatively coupled through one or more planetary gearsets and selective coupling paths in accordance with application and release of various torque transfer devices to a drivetrain via an output. Regenerative and retarded engine braking are coordinated to provide priority to energy return to an energy storage system in accordance with predetermined power flow limits.

The invention discloses a method, an apparatus, a device and a storage medium for scheduling jobs in a cluster. The method comprises the following steps of: acquiring pod data corresponding to a job;one or more target nodes are selected from the cluster according to the node scheduling condition in the pod data and the node state of each node in the cluster. A Pod is respectively deployed on eachtarget node according to the Pod data, job processes are run in jobs in eeployed pods. This technical solution deploys job processes in a containerized manner, as the different jobs can be deployed in each corresponding independent contain, the jobs of each application on the cluster can not affect each other, communication can be carried out in the scene needing to be interactive, the effectiveutilization of the cluster resources is realized, and stable job scheduling can be realized for projects requiring multi-application pipelined cooperation such as deep learning and the like.

A system and associated method for continuously optimizing data archive management scheduling. A job scheduler receives, from an archive management system, inputs of task information, replica placement data, infrastructure topology data, and resource performance data. The job scheduler models a flow network that represents data content, software programs, physical devices, and communication capacity of the archive management system in various levels of vertices according to the received inputs. An optimal path in the modeled flow network is computed as an initial schedule, and the archive management system performs tasks according to the initial schedule. The operations of scheduled tasks are monitored and the job scheduler produces a new schedule based on feedbacks of the monitored operations and predefined heuristics.

Increased efficiency and lower cost job scheduling is provided by a system and method that optimizes for cost instead of makespan, and minimizes fluctuations in resource utilization. A schedule is constructed using a workflow scheduling system that includes a load leveler, a cost minimizer, and a manpower planner. The load leveler minimizes makespan, subject to resource limits, and then lowers the resource limits, repeating the process in order to create a flatter schedule. The cost minimizer generates an initial solution, and then incrementally improves it, using the manpower planner to evaluate the different possible solutions. The manpower planner calculates, for a given schedule, the optimal hire / fire decisions to minimize total cost.

In a distributed computing system, an end terminal transmits a job execution request to a job scheduler, which in response determines a resource and a job execution period necessary for executing a job on the resource based on contents of the job indicated in the message. A reservation request message containing the job execution period and the resource identity is sent from the job scheduler to a target resource proxy. The resource proxy determines a scheduled period of the resource based on the job execution period by checking its schedule memory, and transmits a reservation response to the job scheduler. The job scheduler acquires a certificate signed by the user from the end terminal and transmits the acquired certificate to the resource proxy. In response to the certificate of the user, the resource proxy makes a reservation of the identified resource according to the scheduled period.

Systems, methods, apparatus and software can implement a multipathing driver using dynamically loadable device policy modules that provide device specific functionality for providing at least one of input / output (I / O) operation scheduling, path selection, and I / O operation error analysis. Because the device policy modules include device specific functionality, various different devices from different manufacturers can be more efficiently and robustly supported.

The invention discloses a rail traffic comprehensive monitoring system and a method thereof, comprising a collecting platform, a comprehensive monitoring supporting platform and a monitoring control module which are sequentially connected through application interfaces. The invention also comprises a maintenance management module which is connected with the comprehensive monitoring supporting platform through the application interface. The method comprises online detection, filtration and malfunction grade judgement. The disposal is carried out according to different grades and different situations; a preparedness disposal is carried out if the disposal belongs to the first grade and, for the residual disposals, the maintenance strategy is determined and the expert database sub-module is updated according to the decision of experts; the equipment which is required to be maintained at once is maintained or waits to be maintained; a nominal disposal is firstly carried out during the maintenance and then malfunctions are isolated; the maintenance result is detected finally and the malfunction and maintenance condition are recorded. The invention can effectively reflects the healthy condition of equipment and gives out maintenance strategy in the comprehensive monitoring system, which leads the maintenance and operation scheduling to be integrated for management, implements high integration, transparence and informationization of maintenance operation, and effectively reduces construction cost.

The invention discloses a wind power plant parameter identification and dynamic equivalence method based on operation data, comprising the following steps of a) performing recognition on wind generation set control model parameters based on testing data, b) combining with operation data and choosing characteristic variables reflecting the wind generation set and the wind power plant under influence and utilizing the improved fuzzy K average value dynamic clustering algorithm to perform cluster division, c) performing network simplification and parameter optimizing to obtain a wind power plant dynamic equivalence model based on global optimal position mutation particle swarm algorithm, and d) under disturbance input, comparing the wind power dynamic equivalence model with the detailed model dynamic respond to verify the validity of the equivalence model. The wind field dynamic equivalence model constructed by the invention can accurately reflect the dynamic characteristics of grid-connection points of the wind plant and have important construction application values, and can be used in the analysis of the stability of the double-fed wind power plant access power system and provide theory support for the programming and operation scheduling of the wind power plant power system.

[Object] To provide a system capable of performing optimum job scheduling in respect of the types and utilization of computers as well as the types of jobs, and readily accommodating changes to the system configuration, in a grid computing system. [Constitution] A center server 100 which requests process servers on a grid computing network to execute jobs includes a scheduler section 110 which assigns a job to be executed to a process server and issues a job execution request, and a PS agent section 120 which manages information about the process servers 200, receives a request issued by the scheduler section 110, and sends the request to the process server 200 to which the requested job has been assigned, depending on the operating status and access type of the process server 200.

A system and method are provided for managing printer selection in a network of connected printers. The method comprises: accepting a print job; determining characteristics of the print job; selecting a printer in response to a programmable administrative policy that cross-references user-defined usage criteria to print job characteristics; and, sending the print job to the selected printer. The administrative policy is programmed to be responsive to print job characteristics such as user identity, client identity, the document processing application sourcing the print job, the document format, media, document complexity, color / BW, rendering, content, job scheduling, and printer capabilities such as stapling, duplex printing, or hole punching.

Systems and methods are provided for generating backup tasks for a plurality of tasks scheduled to run in a computer cluster. Each scheduled task is associated with a target probability for execution, and is executable by a first cluster element and a second cluster element. The system classifies the scheduled tasks into groups based on resource requirements of each task. The system determines the number of backup tasks to be generated. The number of backup tasks is determined in a manner necessary to guarantee that the scheduled tasks satisfy the target probability for execution. The backup tasks are desirably identical for a given group. And each backup task can replace any scheduled task in the given group.

In a multi node information processing system, a method for scheduling jobs, includes steps of: determining node-related performance parameters for a plurality of nodes; determining a ranking for each node based on the node related performance parameters for each node; and ordering each nodes by its ranking for job scheduling.

The invention belongs to the field of distributed computing, and provides a multiple application function asynchronous concurrent scheduling method, which is applied to a distributed computing management platform. The distributed computing management platform combines the time consumption characteristic and number of the computing tasks of each application function and the scale and performance information of a computer cluster node, realizes the computing operation of each application function by independently setting a proper computing operation scheduling grain size for each application function, and adds the computing operation into the scheduling sequence of the distributed computer management platform to realize the computing task asynchronous concurrent submission of the plurality of application functions, the uniform scheduling of the computing operation of the plurality of application functions and the computing result asynchronous recovery of the plurality of application functions, thereby fully utilizing the computing performance of the computer cluster and reducing computing time.

A system suited to scheduling print jobs for a printing system includes a first processing component which identifies preliminary attributes of print jobs to be printed on sheets. A job scheduler receives the preliminary attributes and assigns each of the print jobs to one of a plurality of job queues in time order for printing. Print jobs spanning the same time are scheduled for printing contemporaneously. In one mode of operation, the assignment of the print jobs to the job queues is based on their preliminary attributes and on the application of at least one constraint which affects contemporaneous printing of at least two of the plurality of print jobs. A second processing component identifies detailed attributes of the print jobs. A sheet scheduler receives information on the assignments of the print jobs and their detailed attributes and forms an itinerary for each sheet to be printed.

The invention is a method and apparatus for on-demand resource planning for unified messaging services. In one embodiment, multiple clients are served by a single system, and existing system resources are allocated among all clients in a manner that optimizes system output and service provider profit without the need to increase system resources. In one embodiment, resource allocation and job scheduling are guided by individual service level agreements between the service provider and the clients that dictate minimum service levels that must be achieved by the system. Jobs are processed in a manner that at least meets the specified service levels, and the benefit or profit derived by the service provider is maximized by prioritizing incoming job requests within the parameters of the specified service levels while meeting the specified service levels. Thus, operation and hardware costs remain substantially unchanged, while system output and profit are maximized.

A method of scheduling jobs in real time using a database management system is provided. An application task classifies jobs as any one transaction type of a hot type and a normal type. A processing area in a memory pool that is a common resource is allocated to the application task, and the job is transferred to a database job manager through a client application program interface (API). The job manager loads a request node of the job in a list of a transaction type corresponding to the job, of a mailbox of the DB task, which classifies job request nodes as the hot type and the normal type with respect to the type of transaction and manages the nodes, so that the job request node can be scheduled in units of transactions. The job manager transfers the job request nodes loaded in the mailbox for the DB task, one by one to the DB task so that the job request nodes can be processed in units of transactions in a manner in which a job corresponding to a hot-type transaction is processed with a priority over a job corresponding to a normal-type transaction, and between jobs of an identical truncation type, jobs are processed in order of job requesting time. The DB task loads through the job manager, the processing result of the job in a mailbox of the application task which requested the processing of the job, so that the corresponding application task can use the processing result in the future.

A printing system capable of concurrently processing a plurality of job streams and including one or more marking engines and multiple print media destinations is controlled by a controller that includes a jobs scheduler for determining a schedule for processing queued print jobs using the plurality of concurrent job streams. The job scheduler determines the schedule using a method including: determining a utility function dependent at least upon user preference weighting values, a system model of capabilities of the parallel printing system, and the schedule of the queued print jobs; and optimizing the utility function respective to the schedule of queued print jobs.

The invention relates to an operation scheduling system which is applicable to the grid environment and based on the reliability cost; as indicated in graph 1, the whole system includes three layers: the first layer is an operation submission interface module 1; the second layer is an operation scheduling module 2 and the grid resource platform 7 as the substrate layer. From the perspective of the operational principle, the core of the invention is the operation scheduling module in the second layer, which includes a pre-scheduling module 3, a scheduling strategy module 4, an operation finish time prediction module 5 and a resource information module 6. The operation scheduling system in the invention proposes an operation running time prediction model and a resource usability prediction model; the operation running time prediction model based on the mathematical model and the resource usability prediction model based on the Markov model have high accuracy and high generality. The operation scheduling system adopts the copy fault-tolerance strategy, the primary copy asynchronous operation fault-tolerance strategy and the retry fault-tolerance respectively according to different operation service quality requirements and resource characteristics so that the operation scheduling system has high flexibility and high validity; meanwhile, the operation scheduling system supports the computation-intensive operation and the data-intensive operation to have good generality. Compared with the scheduling system in the prior art, the operation scheduling system has the advantages of supporting more concurrent users, improving the resource utilization rate, good generality, good extensibility and high system throughput.

The invention discloses a reservoir group combined operation scheduling system and method for improving a river and lake relationship. The system is characterized by comprising a hydrological information acquisition module, a reservoir working condition access module, an information transmission module, a data preprocessing module, a river and lake relationship scheduling and decision-making module and a display terminal module. By the system and method, shortcomings of an existing reservoir scheduling technique are overcome so as to realize the objective of benefiting both rivers and lakes, the river midstream-upstream and river-communicated lake reservoir group combined operation scheduling system and method is in favor of improving the river and lake relationship, multi-objective optimal regulation and control is carried out aiming for controlled hydrology and water ecological parameters for representing the river and lake relationship, and cross-basin, multi-objective and integrated water conservancy project group remote combined regulation and control in favor of improving the river and lake relationship is realized.

In various energy systems which handle a plurality of types of energy, a method and device for operation scheduling for energy storage equipment are provided, which determines optimal operation of an energy storage equipment and improves the efficiency of the energy system overall. An energy storage equipment operation scheduling part 13 creates an energy storage equipment operation schedule, an energy generation equipment modified operation schedule, and an energy storage equipment modified operation schedule, based on three information items, which are the energy demand forecast information stored in a storage part D1, the energy generation equipment operation schedule stored in a storage part D2, and equipment connection information, and sends the created schedules to the equipment controller 20.

The invention discloses a dynamic operation scheduling system of a virtual machine. The system can be conveniently connected to various cloud platforms to supply unified resource management for the various popular cloud platforms. The system can dynamically allocate the operation pretreatment strategy, placement strategy and integration strategy of the virtual machine, can be realized in a plug-in mode and has high dynamic characteristics and good extensibility. In comparison with the prior art, the system provided by the invention not only has the advantages of dynamic allocation and suitability to various cloud platforms, but also can schedule and execute the preparation operation before turning on the virtual machine as well as the cleanup operation after turning off the virtual machine in a task form, thereby improving the deployment efficiency of the virtual machine and improving the resource utilization rate. In addition, the system has good extensibility, and supports heterogeneous virtual machine platform, thereby improving the transparence of resource utilization.

The invention provides a reliability assessment method for a secondary system of an intelligent substation, and belongs to the field of power information automation. The assessment method divides the intelligent substation system into a communication subsystem, a control subsystem, a protection subsystem and a station control layer subsystem, obtains reliable parameters of each subsystem with the aid of the mean time to fail and the mean time to repair parameters of devices by an availability block diagram, finds out weak links of the secondary system, and improves the reliability of the secondary system of the intelligent substation, thereby achieving the purpose of increasing the quality of power supply at last, and providing an easily accepted and implemented reliability assessment method of the secondary system for the reliability assessment of the secondary system of the intelligent substation. By introducing a notion of reliability model, carrying out quantitative calculation and evaluation, and conducting sequence according to the reliability indexes and the degrees of risk, the reliability and availability of the whole intelligent substation system are improved. The assessment method of the invention can be widely applied in the system design, operation scheduling or device management fields of intelligent substation.

A method for executing program builds comprising: analyzing file dependency information and job duration information associated with jobs of the program build; scheduling jobs for a current program build based on the analysis of the dependency information and the job duration data; executing the jobs according to the schedule; collecting file usage information and new job duration information from each of the jobs; supplementing the file dependency information with the file usage information; and storing the new job duration information to be used for scheduling jobs in subsequent program builds.

The application relates to an operation scheduling method and an operation scheduler. The operation scheduling method comprises the following steps: receiving operation scheduling request information which carries the identification information of an operation; inquiring an empirical data database and confirming that whether the historical operation information of the operation exists in the empirical data database or not, and judging the type of the operation; determining the execution cost group information of the operation according to the type of the operation; determining the scheduling algorithm to be used for scheduling the operation; generating the scheduling plan data of the operation through the execution cost group information and all the available resource group information of a scheduling system by virtue of the scheduling algorithm to complete the operation scheduling. The operation scheduling method achieves the purpose of dynamically selecting a scheduling algorithm to make a scheduling plan according to preset scheduling algorithms, so that the utilization rate of system resources is improved.

The invention discloses an analysis method for a steady-state security region of an electric-pneumatic interconnected integrated energy system. The method comprises the following steps: firstly, building a steady-state energy flow model of the electric-pneumatic interconnected integrated energy system; secondly, proposing the concept of the steady-state security region of the electric-pneumatic interconnected integrated energy system by referring to a definition and a model of the steady-state security region of a power system; thirdly, obtaining a group of boundary operation points on the boundary of the security region through repeated energy flow calculation; and finally, obtaining the steady-state security region of the electric-pneumatic interconnected integrated energy system on the basis of linear hyperplane fitting. The security region model disclosed by the invention provides a theoretical basis for real-time operation scheduling and online security evaluation of the electric-pneumatic interconnected integrated energy system.

The invention discloses a flow processing operation scheduling method and system for dynamically adjusting task allocation. The method comprises the steps of receiving the flow processing operation bya main control node server, and generating an initial task allocation scheme according to a given reference concurrency degree, available resources in a cluster and the self structure of the flow processing operation; during the service operation process of the flow processing operation, automatically reporting the own running state information of each calculation node server to a main control node server by the calculation node server itself, uniformly summarizing the running state information of all calculation node servers by the main control node server, and conducting the corresponding aggregation operation; predicting the data average processing amount and the corresponding resource occupation value of the next time period according to the information after the aggregation operationby the main control node server; further dynamically adjusting the flow processing task instances of all the calculation node servers, finally generating a dynamic allocation scheme of the flow processing operation and distributing the dynamic allocation scheme to corresponding calculation node servers.

The invention relates to a method for realizing task data decoupling in a spark operation scheduling system, wherein the method comprises the following steps that in one iteration cycle, a system reads the iteration RDD (resilient distributed datasets) information of an iteration state object through a task context object example, and in addition, the iteration RDD information is stored into a task context object; the system finds the corresponding RDD information from the task context object through a Spark task object example, and stores the corresponding RDD information into a task result object; the system analyzes the RDD information in the task result object through the task state object example, and respectively stores the corresponding RDD information into the corresponding state object. When the method for realizing task data decoupling in the spark operation scheduling system is adopted, the RDD can be transmitted among all tasks, or the RDD transmission can be carried out between a former period and a later period of the task, so that each task can be complied in a modularized mode, and a wider application range can be realized.