1242 results about "Thread pool" patented technology

A dynamically configurable resource pool may provide a pool of computing resource for use in a computing system or application, such as a connection pool or a thread pool for server systems such as application and web server systems. In one embodiment, a server may include a resource pool configured to provide a plurality of computing resources. Other components in the server may be configured to request use of one of the computing resources from the connection pool. The resource pool may include a resource pool manager configured to service requests for the computing resources. The resource pool manager may manage configuration of the resource pool. The resource pool manager may also be configured to receive a configuration change request to change the configuration of the resource pool while the resource pool is available for use.

A virus scanner is provided in which a pool of pre-processor threads and a queue are interposed between the event filter and the pool of scanner threads. The pre-processor threads perform operations that can be completed quickly to determine whether an object of a scan request needs to be scanned. The pre-processor threads gather characteristics about the scan requests and place them in the queue in a priority order based on those characteristics. The scanner threads select a scan request from the queue based on the priority order. Alternatively, the scan request is selected based on the scan request's characteristics as compared to the characteristics of the scan requests whose objects are currently being scanned by other scanner threads in the pool.

The invention discloses a multitask process monitoring method in the distributed system environment. The method comprises the following steps that: five states of the task execution process of each task execution terminal in the distributed system environment are monitored; an XML (eXtensible markup language) format description file is transported to a task collecting and processing server, the task execution conditions after filtration are written in a database and simultaneously task change information is sent to notify a task scheduling center; the task scheduling center directly submits the information to a task scheduling module after receiving the task change information and the task scheduling module adds the received information to information waiting queues; a scheduling control unit searches for a thread index table for threads of execution of the task and gives the threads of execution to the threads to be executed; and a thread control module monitors a plurality of threads in a work thread pool in real time in the system operation process. The invention also discloses a multitask process monitoring system. The system comprises a plurality of distributed task execution terminals, the task collecting and processing server and the task scheduling center.

A system and method for a synchronous task scheduler. The synchronous task scheduler may be used with a CORBA Gateway between CORBA-based client manager applications and an enterprise manager. The CORBA Gateway may include components such as an Event Gateway which manages events from managed objects, and a Request Gateway which manages requests and responses of managed objects. The Event Gateway and the Request Gateway may be designed as multi-threaded systems. A thread pool may be used to increase efficiency and performance of the CORBA Gateway. To ensure ordered delivery of events or replies to the CORBA gateway clients in a multi-threaded environment using a thread pool, a synchronous task scheduler may be used. There may be a synchronous task scheduler associated with each client manager to preserve the chronology of messages sent to each. The synchronous task scheduler may maintain an internal message list, and deliver one message at a time from that internal list. The synchronous task scheduler may hold a reference to a thread pool and use that thread pool to deliver messages. When a message is scheduled, the synchronous task scheduler may check if any message is already being delivered. If no prior message is currently being delivered, an available thread may be assigned from the thread pool for delivery of the message and the scheduler may initiate delivery of the message. If a prior message is being delivered, it may enqueue the message in the message list. Then, when the prior message delivery is completed, the scheduler may dequeue the message, assign another thread from the thread pool, and initiate delivery of the message. This may continue until the message list is empty.

By employing a two-tier load balancing scheme, embodiments of the present invention may reduce the overhead of shared resource management, while increasing the potential aggregate throughput of a thread pool. As a result, the techniques presented herein may lead to increased performance in many computing environments, such as graphics intensive gaming.

The invention discloses a method and a system for distributing thread execution task. The method comprises the following steps of: a step 1 of creating a thread pool; a step 2 of creating the task and adding the task into a task queue; a step 3 of calling idle threads in the thread pool and distributing the task in the task queue to the idle threads; and a step 4 of returning an execution result to the task after the threads execute the task. The invention can solve the problems of no feedback of the execution result, insufficient convenience and rapidness of application.

The invention discloses a method for scheduling satellite data product production tasks in parallel based on multithread. The method comprises the following steps: setting priorities for tasks to be scheduled for executing and realizing a uniformed interface; adding the tasks into a priority queue according to an order of the priorities from high to low; setting the maximum number and the minimal number of the tasks of a thread pool, and the longest idle time of a thread; and starting a daemon thread in the thread pool and a plurality of task threads to execute the tasks, wherein the daemon thread regulates the number of the task threads dynamically according to the situation of task amount. The method can utilize system resource rationally, aims at the data product production of a satellite ground application system, and solves the difficult points of complicated product production processes, long task executing time, large task amount, high real time and parallelism degree for scheduling the tasks and the like.

The invention discloses a thread pool management method and a thread pool management system. The method comprises the following steps: monitoring the running time of each thread to execute a current task by regularly traversing each thread in a thread pool; and when determining that threads with overtime running exist according to the monitored running time, establishing novel threads, and using the newly established threads to execute tasks which are to be executed by the threads with the overtime running, wherein threads in the thread pool correspond to task queues one by one, and execute tasks in the corresponding task queues; and the tasks to be executed by the threads with the overtime running are task queues corresponding to the threads with the overtime running. The method and the system can improve the task processing efficiency of an application server adopting the thread pool management technology, and provide a fault tolerance mechanism and a thread regeneration mechanism for the thread pool.

The invention discloses a third-party data service system based on Internet-of-Things data collecting. The third-party data service system comprises a data collecting cloud service module, a Web portal management module, a Web Service remote calling assembly module, a mobile application module and a data center management module. The data collecting cloud service module comprises a thread pool dispatching management module, a load optimization management module, a network management module, a data communication management module, a data storage module and an alarm module. The Web portal management module comprises a user and authority management module, an equipment management module, a monitoring point management module, a real-time monitoring module, a visual customization module, a spare part management module, an after-sale maintenance management module, a repair management module, a remote operation management module and a remote diagnosis module. The mobile application module comprises a real-time inquiry module, an alarm inquiry module, a repair registration module, a user feedback module, a maintenance inquiry module and a real-time warning module.

A distributed data system may include a plurality of nodes one or more of which may include at least one multi-threaded process operable to access portions of distributed data. A lock mechanism may grant locks to the multi-threaded processes for portions of the distributed data. Only a process holding a lock may access a portion corresponding to the lock. Threads of other processes may not access the portion. A process may include a lock management thread pool dedicated to managing locks for portions of the distributed data for access by other threads of the process. Each lock management thread of the lock management thread pool may request a lock for a portion of distributed data on behalf of the process. The process may hold one or more locks for portions of distributed data corresponding to one or more lock management threads of the lock management thread pool.

Workload is programmatically distributed across a set of execution resources. In a multithreaded server environment, response time to end users is improved while increasing the efficiency of software execution and resource usage. Execution time and wait/queued time are tracked, for various types of requests being serviced by a server. Multiple logical pools of threads are used to service these requests, and inbound requests are directed to a selected one of these pools such that requests of similar execution-time requirements are serviced by the threads in that pool. The number and size of thread pools may be adjusted programmatically, and the distribution calculation (i.e., determining which inbound requests should be assigned to which pools) is a programmatic determination. In preferred embodiments, only one of these variables is adjusted at a time, and the results are monitored to determine whether the effect was positive or negative. The disclosed techniques also apply to tracking and classifying requests by method name (and, optionally, parameters).

Incoming work units (e.g., requests) in a computing workload are analyzed and classified according to predicted execution. Preferred embodiments track which instrumented wait points are encountered by the executing work units, and this information is analyzed to dynamically and autonomically create one or more recognizers to programmatically recognize similar, subsequently-received work units. When a work unit is recognized, its execution behavior is then predicted. Execution resources are then allocated to the work units in view of these predictions. The recognizers may be autonomically evaluated or tuned, thereby adjusting to changing workload characteristics. The disclosed techniques may be used advantageously in application servers, message-processing software, and so forth.

Following modules are included at two ends of remote procedure call (RPC): external interface module for providing external uniform interface; client end module and server end module accessible by the external interface module; network interface module accessible by modules at client end and server end; and module of service process thread pool accessible by the server module. After receiving message of RPC, the external interface module obtains all configuration parameters of server task, creates an instance of client end module, and initiates call; client end module accomplishes packaging data and slicing segment, the network interface module sends the packaged data and sliced segment to server module at opposite end as well as carries out switching processes; after recombining segment of RPC messages, server module starts process threaded, and returns result back to caller along original route. Features are: easy of use, masking complexity, and redundant dual networks switching.

The invention provides a data backup method of a distributed file system. The method includes: setting up a thread pool by a synchronous control node, distributing source files to each thread according to a copy list, and parallelly conducting metadata synchronization of each source file and the corresponding target file; judging content consistency of each file block in the source files and the target files by each thread of the synchronous control node to analyze difference between each distributed source file and the corresponding target file; judging content consistency of each chunk in the source files and the target files by a source data node to analyze difference between the source file blocks and the target file blocks; duplicating data of the source file blocks to the corresponding target file blocks by a target data node according to the difference analyzing results of the source file blocks and the target file blocks. Data transmission among trans-cluster data nodes can be reduced by effectively using existing data of the target files of a target file system, and data backup execution time is shortened since file backup is completed by taking a file block as a unit.

The invention provides a thread pool processing method and a thread pool processing system capable of fusing synchronous and asynchronous features. A large number of task requests on the internet are subjected to asynchronous processing by the thread pool, so that mutual influence is avoided and the waiting time is short. Synchronous processing is realized for single user operation, the output requirement according to the service sequence is met, and optimization mechanism capable of performing priority processing is provided for the task request with high importance.

The invention provides a task request processing method and device and an enterprise information system. The method comprises the steps that any background server receives a task request message sent by an enterprise service bus; a task is generated according to the received task request message, and the task is added to a task table in a database; the any background server in an idle state captures the unexecuted task from the task table and executes the captured task in a thread pool. The task request processing process is broken up into two processes capable of being executed independently by two different servers. For the same task request, execution is conducted according to a normal execution sequence; task execution is conducted when corresponding background servers are in an idle state, tasks are executed by means of the thread pool, in this way, it is well guaranteed that tasks can be executed, the safety and stability of the background servers are improved, and customer experience is improved.

The invention discloses a non-contact real-time online vibration measurement method based on images, and belongs to the field of vibration measurement and analysis. The method includes the steps that a vibration process of a target object is recorded through a high-speed camera, all frames of images contained in a vibration video of the target object are extracted through vibration measurement software arranged in a computer and are stored in a memory pool opened up by the vibration measurement software arranged in the computer, a thread pool is created in the vibration measurement software arranged in the computer, corresponding image frames are extracted from the memory pool by different threads in the thread pool in order, coordinates of the images and an actual object are established so that the size conversion matrix M between the images and the actual object can be solved, and therefore actual coordinates and displacement imaged through the camera are mapped in the vibration process and a measuring result and a data curve are output. A non-contact measurement mode is adopted in the method, vibration characteristics of test objects cannot be changed, measurement accuracy is high, and vibration characteristic measurement can be conducted on vibration objects under poisonous and harmful, high-temperature and dangerous environments.

The invention relates to a distributed data acquisition system and method based on cloud computing. The system comprises a cloud server, at least one VMS (Virtualization Management Software), at least one Discover node, a Collect node and a cloud computing platform, wherein the cloud server is composed of at least one server, the VMS is used for managing the cloud server, and the Discover node is used for information acquisition. An acquisition program, a scheduler program and a control program are separately and independently arranged, an acquisition strategy, a data acquisition time stamp and an acquisition cycle can be self-defined, a thread pool mechanism is adopted, and multiple-VMS, multiple-object different data can be acquired at the same time. An acquisition task is executed through a thread preemption mode in a thread pool, the data acquisition delay is shortened, the acquisition task block is reduced, and the data acquisition efficiency is increased.