229 results about "Queue manager" patented technology

An electronic funds system, including a plurality of payment devices, each payment device including a payment application for (i) transferring funds to another payment device, (ii) receiving funds from another payment device, and (iii) synchronizing transactions with a bank server computer, a queue manager for queuing transactions for synchronization with the bank server computer, an encoder for encrypting transaction information, a proximity communication module for wirelessly communicating with another of the plurality of payment devices over a short range, a wireless communication module for communicating with a client computer and with the bank server computer over a long range, a plurality of client computers, each client computer including a payment device manager for (i) transmitting funds to a payment device, (ii) receiving funds from a payment device, and (iii) setting payment device parameters, and a wireless communication module for communicating with at least one of the plurality of payment devices and with a bank server computer over a long range, and at least one bank server computer, each bank server computer including an account manager for (i) managing at least one bank account associated with at least one of the payment devices, and (ii) processing transactions received from the plurality of payment devices, a decoder for decrypting encrypted transaction information, and a wireless communication module for communicating with the plurality of payment devices and with the plurality of client computers over a long range. A method and a computer-readable storage medium are also described and claimed.

A method of delivering messages between application programs is provided which ensures that no messages are lost and none are delivered more than once. The method uses asynchronous message queuing. One or more queue manager programs (100) is located at each computer of a network for controlling the transmission of messages to and from that computer. Messages to be transmitted to a different queue manager are put onto special transmission queues (120). Transmission to an adjacent queue manager comprises a sending process (130) on the local queue manager (100) getting messages from a transmission queue and sending them as a batch of messages within a syncpoint-manager-controlled unit of work. A receiving process (150) on the receiving queue manager receives the messages and puts them within a second syncpoint-manager-controlled unit of work to queues (180) that are under the control of the receiving queue manager. Commitment of the batch is coordinated by the sender transmitting a request for commitment and for confirmation of commitment with the last message of the batch, commit at the sender then being triggered by the confirmation that is sent by the receiver in response to the request.The invention avoids the additional message flow that is a feature of two-phase commit procedures, avoiding the need for resource managers to synchronise with each other. It further reduces the commit flows by permitting batching of a number of messages.

Compliance with subscriber job delivery requirements is managed and tracked. Job requirements set forth in service level agreements are stored electronically as delivery parameters. A queue manager creates a prioritized list of delivery jobs. A delivery manager delivers the jobs in accordance with the prioritized list. A routing manager determines optimal routes, e.g., least cost route for delivery of each job. Retries of jobs that are not successfully delivered can be performed. delivery job sources include broadcast subscribers, high- and low-priority single address subscribers, free subscribers and off-peak subscribers.

In a relaying apparatus comprising input side accommodating portions including input side queues, a plurality of output side accommodating portions including output side queues, and a switch fabric for mutually connecting the input side queues and the output side queues in a mesh form, in a time slot of a fixed period, the output side-addressed queue managers corresponding to the output side accommodating portions select a bandwidth guaranteed packet so as to guarantee a bandwidth, and output priority/non-priority signals for indicating which of the bandwidth guaranteed packet and a bandwidth non-guaranteed packet has been selected, and output demand signals of the packet. An inter-output link manager selects the packet having an empty area in the priority queue or non-priority queue of the output side accommodating portion as a destination corresponding to the packet which is demanded to be outputted.

A message sequence number or message priority level stored in a queue maintained by a message queuing system may be dynamically changed based on processing conditions by the use of a message sequence regulator (MSR) system. The MSR system includes a message parser, a message extraction repository, a rules repository, a message definition repository, an interface to a resource monitor for monitoring system resources by single resource monitoring agents, and a notification component for identifying sequence regulation operations which cannot be executed. The MSR system receives copies of messages loaded into or retrieved from queues by a queue manager as well as event messages from the resource monitor. The message extracts parts of the message using message structures defined in the rules repository and stores the extracted parts in the message extraction repository. If a defined condition is found to exist, the MSR system initiates calculation of an appropriate message sequence number or message priority level. The queue manager updates the message record without removing the message from the queue.

A replication priority queuing system prioritizes replication requests in accordance with a predetermined scheme. An exemplary system includes a Replication Priority Queue Manager that receives update requests and assigns a priority based upon business rules and stores the requests in associated storage means. A Replication Decision Engine retrieves the requests from storage and determines a destination for the update based upon predetermined replication rules, and sends the update to the destination.

A task queue manager manages the task queues corresponding to virtual devices. When a virtual device function is requested, the task queue manager determines whether an SPU is currently assigned to the virtual device task. If an SPU is already assigned, the request is queued in a task queue being read by the SPU. If an SPU has not been assigned, the task queue manager assigns one of the SPUs to the task queue. The queue manager assigns the task based upon which SPU is least busy as well as whether one of the SPUs recently performed the virtual device function. If an SPU recently performed the virtual device function, it is more likely that the code used to perform the function is still in the SPU's local memory and will not have to be retrieved from shared common memory using DMA operations.

An active queue management (AQM) process for network communications equipment. The AQM process is queue based and involves applying at a queue size threshold congestion notification to communications packets in a queue of a link via packet dropping; and adjusting said queue size threshold on the basis of the congestion level. The AQM process releases more buffer capacity to accommodate more incoming packets by increasing said queue size threshold when congestion increases; and decreases buffer capacity by reducing said queue size threshold when congestion decreases. Network communications equipment includes a switch component for switching communications packets between input ports and output ports, packet queues for at least the output ports, and an active queue manager for applying congestion notification to communications packets in the queues for the output ports via packet dropping. The congestion notification is applied at respective queue size thresholds for the queues, and the thresholds adjusted on the basis of the respective congestion levels of the queues of the output ports.

Methods and circuitry are present for executing current memory operation while other multiple pending memory operations are queued. Furthermore, when certain conditions are satisfied, some of these memory operations are combinable or mergeable for improved efficiency and other benefits. The management of the multiple memory operations is accomplished by the provision of a memory operation queue controlled by a memory operation queue manager. The memory operation queue manager is preferably implemented as a module in the state machine that controls the execution of a memory operation in the memory array.

A method and system for routing channels in which messages are transmitted from a source application to a destination application. The system includes a finite-state machine, source message queues, and a source queue manager for managing the source message queues. The source message queues include a transmission queue for holding a first message for subsequent transmission of the first message from the transmission queue over a first channel to a local queue of the destination application. The method includes: activating the finite-state machine; and performing or not performing a channel routing action, by the finite-state machine, depending on: a channel event having caused the first channel to be started or stopped, a channel sender set for the first channel, and an event type characterizing the channel event as normal or abnormal. The channel routing action is a function of the channel event, the channel sender, and the event type.

A transfer controller with hub and ports is viewed as a communication hub between the various locations of a global memory map. A request queue manager serves as a crucial part of the transfer controller. The request queue manager receives these data transfer request packets from plural transfer requests nodes. The request queue manager sorts transfer request packets by their priority level and stores them in the queue manager memory. The request queue manager processes dispatches transfer request packets to a free data channel based upon priority level and first-in-first-out within priority level.

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.

The invention provides a distributed resource scheduling method and system. The method comprises the steps of allocating tasks to a corresponding priority waiting queue according to assessed priorities of new task processing requests; according to the priority waiting queue obtaining the tasks, selecting a current scheduling queue; and according to the selected scheduling queue, calling a resourceallocation policy to allocate available distributed node resources. The system comprises a queue manager, a queue scheduler, a task monitor and a resource allocator. According to the technical schemeprovided by the distributed resource scheduling method and system, the total task completion time cost and the total task completion cost is effectively balanced according to a user demand; the resource utilization rate is improved; the task execution efficiency is improved; the service quality is guaranteed; and the user satisfaction is improved.

A new Task Queue Methodology (TQM) is provided for reducing traffic jams and for controlling transportation priority in an Automatic Material Handling System (AMHS). A Stocker Resource Q, under control of TQM, maintains records of stockers that are under control of the AMHS and the availability thereof. For available stockers, a Task-Q under control of a Queue Manager (TQM) is accessed, extracting therefrom records that match available stocker resources. For the available stocker resources, the tasks that are scheduled against these resources are sorted by priority and by longest wait time, resulting in one selected task. For the in this manner selected task, a Move command is issued by the TQM to the Automatic Material Handling System.

The invention discloses a convolution neural network structure searching method and a system based on an evolutionary algorithm. The method comprises the steps of inputting a data set and setting preset parameters to obtain an initial population. By the controller TC as the main thread popping the initial population into the queue q and opening the queue manager tq and the message manager tm, After the queue manager TQ is turned on, the untrained chromosomes in the queue Q are pop-up and decoded, and a worker manager TW as an independent temporary thread is started to calculate the fitness forthe training, Through the cooperation of controller TC, queue manager TQ, worker manager TW and message manager TM, the parallel search of convolution neural network structure based on evolutionary algorithm is completed and the best model is output. The invention can realize automatic modeling, parameter adjustment and training for a given data set, has the advantages of high performance, large-scale, flow-chart and good certainty, and is particularly suitable for deployment and implementation on a high-performance computer cluster.