208 results about "Job queue" patented technology

Methods and media are provided for backing up data stored in one or more network-communications devices that are located in a geographic area distinct from where the backup data is to be stored. System threads for performing interactive processing to initiate an automatic scheduling procedure and job queue using a producer thread, a trending thread for retrieving and monitoring system performance factors, a foreman thread for monitoring the system performance factors for determining when an assignment is performed, one or more worker threads capable of remotely extracting backup data from network equipment, determining and recording informational logs regarding a performed backup, and sending informational traps to a surveillance manager.

A disk drive is disclosed comprising a microprocessor and a power driver for generating at least one actuator signal applied to the VCM actuator, wherein a serial communication circuit is used to communicate with the power driver. At least one control component periodically generates a control signal, wherein the control signal is transmitted at a substantially constant periodic interval using the serial communication circuit, and a timer times the periodic interval. A job queue controller queues and arbitrates serial communication requests to access the power driver using the serial communication circuit. The serial communication requests include a request to transmit the control signal and requests generated by the microprocessor. The job queue controller services a communication request generated by the microprocessor if the communication request can be serviced before the timer expires.

Techniques for controlling jobs in a selective deposition modeling (Selective Deposition Modeling) system. A client computer system can connect directly to a Selective Deposition Modeling system to work with a job queue located at the Selective Deposition Modeling system. Jobs in the job queue may be previewed in three-dimensional form. Moreover, the jobs in the job queue may be manipulated to move the jobs to different positions in the job queue or to delete a job. Additionally, multiple jobs may be automatically combined to generate a single build process.

A scheduler receives at least one flexible reservation request for scheduling in a computing environment comprising consumable resources. The flexible reservation request specifies a duration and at least one required resource. The consumable resources comprise at least one machine resource and at least one floating resource. The scheduler creates a flexible job for the at least one flexible reservation request and places the flexible job in a prioritized job queue for scheduling, wherein the flexible job is prioritizes relative to at least one regular job in the prioritized job queue. The scheduler adds a reservation set to a waiting state for the at least one flexible reservation request. The scheduler, responsive to detecting the flexible job positioned in the prioritized job queue for scheduling next and detecting a selection of consumable resources available to match the at least one required resource for the duration, transfers the selection of consumable resources to the reservation and sets the reservation to an active state, wherein the reservation is activated as the selection of consumable resources become available and has uninterrupted use of the selection of consumable resources for the duration by at least one job bound to the flexible reservation.

The invention discloses a task optimization scheduling method based on Hadoop, comprising analyzing resource demands of the operating tasks in all jobs of every node in a Hadoop cluster, predicating the resource demand conditions of unexecuted tasks; allocating tasks to job nodes according to the occupation conditions of resources; wherein resources comprise a cluster CPU, a memory and an input output bandwidth IO; allocating the tasks to the task trackers of the job nodes through job schedulers, updating the waiting task lists of the job nodes, optimizing a task executing sequence according to a rule that local tasks are prior, configuring local resources according to the sequence, carrying out the jobs; when the job queue of a node in the cluster is empty and no task is in the current job queue according to inquiry, taking three indexes: file data backup quantities, idle time prediction values of all nodes in the cluster and disk capacities as parameters, and executing other waiting tasks in the Hadoop cluster. According to the invention, the utilization efficiency of the cluster resources is optimized.

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 discloses a MapReduce optimizing method suitable for iterative computations. The MapReduce optimizing method is applied to a Hadoop trunking system. The trunking system comprises a major node and a plurality of secondary nodes. The MapReduce optimizing method comprises the following steps that a plurality of Hadoop jobs submitted by a user are received by the major node; the jobs are placed in a job queue by a job service process of the major node and wait for being scheduled by a job scheduler of the major node; the major node waits for a task request transmitted from the secondary nodes; after the major node receives the task request, localized tasks are scheduled preferentially by the job scheduler of the major node; and if the secondary nodes which transmit the task request do not have localized tasks, prediction scheduling is performed according to task types of the Hadoop jobs. The MapReduce optimizing method can support the traditional data-intensive application, and can also support iterative computations transparently and efficiently; dynamic data and static data can be respectively researched; and data transmission quantity can be reduced.

It is possible to realize job distribution in a plurality of computer systems, considering the job completion dead-lines. Jobs queuing servers (31,33) have a function to share operating information on each computer system, a function to forecast an execution completed date of a job entered by pointing an optimization of an execution priority and an execution term; and a function to forecast again the execution completed date of the job in the execution priority modified according to the forecasted result, and a function to request for a job execution to another computer system to share the operating information according to the forecasted result.

A scheduler for a grid computing system includes a node information repository and a node scheduler. The node information repository is operative at a node of the grid computing system. Moreover, the node information repository stores node information associated with resource utilization of the node. Continuing, the node scheduler is operative at the node. The node scheduler is configured to determine whether to accept jobs assigned to the node. Further, the node scheduler includes an input job queue for accepted jobs, wherein each accepted job is launched at a time determined by the node scheduler using the node information.

A system and method enable a user to generate a single batch job ticket for a plurality of print job tickets. The system includes a print driver, a print job manager, and a print engine. The print driver enables a user to request generation of a collective job queue and to provide a plurality of job tickets for the job queue. The print job manager includes a collective job queue manager and a print job scheduler. The collective job queue manager collects job tickets for a job queue and generates a single batch job ticket for the print job scheduling table when the job queue is closed. The print job scheduler selects single batch job tickets in accordance with various criteria and releases the job segments to a print engine for contiguous printing of the job segments.

A queue manager monitors status of a server queue in a network server and status of a device queue in a peripheral device at the same time. A user interface displays the status of jobs in the server queue and device queue on the same display and allows a user to manipulate any of the jobs on either queue using the same user interface.

A software or hardware test system and method repeatedly obtains testing status of a plurality of test units in a group while the test units are testing hardware or software being executed on the test units. The system and method provides for display of the current testing status of the plurality of units of the group while the plurality of test units is performing software testing. In another embodiment, a test system and method compiles heuristic data for a plurality of test units that are assigned to one or more groups of test units. The heuristic data may include, for example, data representing a frequency of use on a per-test unit basis over a period of time, and other heuristic data. The test system and method evaluates job queue sizes on a per-group basis to determine whether there are under-utilized test units in the group and determines on a per-group of test unit basis whether a first group allows for dynamic reassignment of a test unit in the group based on at least the compiled heuristic data. If the unit is allowed to be dynamically reassigned, the test system and method reassigns the test unit whose heuristic data meets a specific set of criteria.

A printing apparatus is provided in which confidential prints are kept secret from each other even when congested by passwords for a plurality of confidential prints being entered in succession. Pointers are provided at the respective ends of a confidential print job queue and a normal print job queue in a queue management unit 16. New print jobs are stored into the corresponding ends. When a user enters a valid password for a confidential print job A from an input unit 19, a control unit 11 releases the hold status of the confidential print job A. The control unit 11 also refers to the end pointer for confidential print jobs and moves the confidential print job A to the end of the confidential print jobs. When a normal print job a is completed, the control unit 11 skips held confidential print jobs B and D, and processes the confidential print job A which is the first released of the hold status. Then, a normal print job b1 is executed so that no confidential print job follows immediately.

Amounts of expendables consumed by a printer are sensed accurately. A job control unit 106 transfers a print job queued in job buffer 107 to a spooler 105, in page units. Spooler 105 sends the print job to a printer PT, as well as providing a completion determination unit 103 with notification of start of printing. Upon receiving notification of start of printing, the completion determination unit monitors the status of the printer PT and remaining data in the spooler 105, and in the event that printer PT status is “ready to print” and there is no remaining data in the spooler 105, decides that printing has completed, and counts the number of sheets of paper. An ink amount measurement unit 104, by means of predetermined correcting means, corrects the amount of ink consumed during printing, so as to approximate the amount of ink actually used in printing. A server SV is notified of the number of sheets of paper and the corrected amount of ink consumed, whereupon the server performs a billing process.

A method for scheduling jobs in a computer system includes storing a plurality of job queue files in a random access memory, accessing at least one of the job queue files stored in random access memory, and scheduling, based in part on the at least one job queue file, execution of a job associated with the at least one job queue file. In a more particular embodiment, a method for scheduling jobs in a computer system include storing a plurality of job queue files in a random access memory. The plurality of job queue files include information associated with at least one job. The method also includes storing the information external to the random access memory and accessing at least one of the job queue files stored in the random access memory. The method also includes scheduling, based at least in part on the at least one job queue file, execution of a job associated with at least one job queue file. In response to the scheduling, the method includes updating the information stored in the job queue file and random access memory and the information stored external to the random access memory.

An electronic mail (email) server may include a pending email job queue manager for storing a plurality of email jobs for a plurality of users, and a processing email job queue manager. The processing email job queue manager may be for processing a plurality of email jobs from the pending email job queue manager for a given user, if available, and otherwise processing at least one email job from the pending email job queue manager for a different user.

The invention provides a job scheduling method and apparatus. The job scheduling method comprises the steps of obtaining priority information of job entities carried by the job entities and the minimum resource quantity required by the job entities; dividing the multiple job entities with the same priority into the same job queue according to the priority information of the job entities to obtain at least a job queue; and if the resource quantity allocated to the job entities in each job queue is less than the minimum resource quantity required by the job entities, obtaining available resource from a resource queue, and allocating the available resource to the job entities. By adoption of the scheme of the job scheduling method and apparatus, service level agreement guarantee for different job entities when multiple job entities are under concurrent execution can be realized, including resource allocations for job entities of different priorities or the job entities of the same priority; the balance of resource sharing and well-aligned guarantee is realized; and therefore, the service level agreement for each job entity is realized, and the utilization ratio of the overall cluster resource is improved as well.

A method and apparatus for controlling access to solid state memory devices which may allow maximum parallelism on accessing solid state memory devices with minimal interventions from firmware. To reduce the waste of host time, multiple flash memory devices may be connected to each channel. A job/descriptor architecture may be used to increase parallelism by allowing each memory device to operate separately. A job may be used to represent a read, write or erase operation. When firmware wants to assign a job to a device, it may issue a descriptor, which may contain information about the target channel, the target device, the type of operation, etc. The firmware may provide descriptors without waiting for a response from a memory device, and several jobs may be issued continuously to form a job queue. After the firmware finishes programming descriptors, a sequencer may handle the remaining work so that the firmware may concentrate on other tasks.