98 results about "Hybrid Scheduling" patented technology

The invention provides a natural-mixing scheduling method of a public bike system. The natural-mixing scheduling method comprises the specific steps that 1, scheduling areas are divided, wherein considering the scheduling requirement of an urban public bike system, rent points of the urban public bike system are divided into areas; considering characteristic attributes of the rent point tide direction, the rent point type and the like in all areas, the areas are secondarily divided, and area division of dynamic scheduling of the urban public bike system is finally achieved; 2, scheduling commands are generated and comprise rent point scheduling service grade division and definition of peak time and flat time, and rent points of a first-grade scheduling service window A+, A second-grade scheduling service window A-, non-scheduling service window B and second-grade scheduling service window need to meet the requirements to be inserted in a scheduling route.

This invention provides the unique and high-throughput architecture for multiple video standards. Particularly, we propose a novel scheme to integrate the standard in-loop filter and the informative post-loop filter. Due to the non-standardization of post filter, it provides high freedom to develop a certain suitable algorithm for the integration with loop-filter. We modify the post filter algorithm to make a compromise between hardware integration complexity and performance loss. Further, we propose a hybrid scheduling to reduce the processing cycles and improve the system throughput. The main idea is that we use four pixel buffers to keep the intermediate pixel value and perform the horizontal and vertical filtering process in one hybrid scheduling flow. In our approach, we reduce processing cycles, and the synthesized gate counts are very small. Meanwhile, the synthesized results also indicate lower cost for hardware.

A control signalling method for use in advanced communication networks is proposed. The method provides for self-scheduling carrier aggregation, cross-carrier scheduling carrier aggregation, and hybrid-scheduling carrier aggregation for downlink data transmission on up to 32 concurrent downlink component carriers where the UE feedback on downlink data is transmitted on a single uplink component carrier.

The invention relates to a mixed scheduling method of an embedded real-time operating system. The method comprises the steps of pre-task scheduling resource allocation and task scheduling, wherein the task scheduling comprises the following steps: enabling a task to be ready in an event-trigger or time-trigger mode; looking for a priority decision table based on a ready list and a ready group to obtain the current ready highest task priority; and when the ready task of the highest priority is a collaborative task, directly running the collaborative task, removing the positions of the collaborative task in the ready list and the ready group after the completion of the collaborative task, and executing the previous step again. By treating ISR as the task, allocating priority along with other tasks, simultaneously combining the time-trigger and event-trigger framework and adopting the mixed scheduling mode of preemptive and collaborative tasks, the invention obtains a scheduling method which has the advantages of high predictability and reliability and high real-time response capability. The scheduling method can make full use of the system resources and effectively control the system overhead.

The invention relates to the technical field of cloud computing and big data, in particular to a big data hybrid scheduling model on the private cloud condition. The big data hybrid scheduling model comprises an access control module, a task decomposition module, an overall situation scheduler module based on virtual resources, a resource virtualization mapping module, a virtual resource monitoring module, a physical resource monitoring module, and a local scheduler module based on physical resources. The big data hybrid scheduling model is a hybrid scheduler including physical resource scheduling, virtual resource scheduling, overall situation scheduling and local scheduling. User tasks are decomposed into a plurality of independent subtasks which are distributed on different clusters or computational nodes. Parallel and rapid execution of the tasks is ensured, network and data transfer costs are reduced, physical resource scheduling is utilized for further decomposing subtasks, cluster resources are utilized to be maximum extent, and the task execution time is further shortened.

The invention discloses a data transmission method, device and system, a terminal and a base station. The data transmission method comprises the steps that nodes determine downlink control information (DCI) corresponding to data of serving cells on an unauthorized frequency spectrum according to a predefined scheduling mode in the embodiment; and the nodes process the serving cells on the unauthorized frequency spectrum according to the DCI. The data transmission method solves a problem that the times of blind detection, which is carried out by a terminal, on downlink control information is increased due to the fact of hybrid scheduling.

The invention discloses a mixing scheduling method suitable for real-time system periodic tasks. The method comprises the following steps: searching a ready real-time system task set T and sorting the tasks in an ascending order according to deadlines; finding the task with the shortest deadline, wherein the execution time C and the deadline D of the task with the shortest deadline are taken as input data of a fuzzy reasoning system; processing the input data by a CPU (central processing unit), i.e. mapping a threshold value delta output by the fuzzy reasoning system onto a membership function of the threshold value, and determining the property of the threshold value delta according to the membership function. The mixing scheduling method uses a fuzzy system theory to organically combine an RM (rate monotonic) algorithm and an EDF (earliest deadline first) algorithm for scheduling the execution tasks, so the deadlines of the tasks cannot be missed, and system resources are fully utilized.

The invention provides a narrow band Internet of things oriented time-frequency two-dimensional sparse code multiple access method and relates to the technical field of communication. Time slots are divided on a narrow band. N time-frequency resource units form an SCMA (Sparse Code Multiple Access) time-frequency resource block, so a cellular mobile or wireless local area network communication system indicates that the SCMA time-frequency resource block is used for performing an uplink scheduling access step, an uplink scheduling-free access step, an uplink mixed scheduling access step and a downlink access step. The fact that the SCMA only works in a frequency domain is changed to time frequency two-dimensional work. According to the method, through adoption of the time frequency two-dimensional sparse code nonorthogonal multiple access, the SCMA technology is expanded from the frequency domain to the time frequency two-dimensional work, the narrowband characteristic of an IoT device is ensured, and the mobile communication user connection quantity, a spectrum utilization rate and a network capacity are improved. Compared with the prior art, the method has the advantages that under the same bit error rate, each of the user quantity and the network capacity is improved to 1.5 times, and the performance of a mobile communication system is greatly improved.

The invention provides an online and offline hybrid scheduling system for improving quality of online services and utilization rate of a cluster resource. The system comprises an information acquisition module, an online AM module, an offline AM module, a client side module and a scheduler module; the information acquisition module collects a scheduling relation among the online services in the system and stores the scheduling relation in a Redis; when a user submits an online application, the online AM module parses a dependence relation of each component, and orderly deploys the components in a cluster according to the dependence relation; when the user submits an offline work, the offline AM module applies to an RM for the resource, and schedules the offline work to run in the cluster;the client side module parses and processes the work submitted by the user, converts the work into a corresponding request for applying to the RM for the resource, and takes charge of pulling up the online AM module to present application running conditions for clients; the scheduler module is located in the RM, the scheduler module periodically calculates criticality of each server node accordingto criticality of each container reported by the online AM module, and performs scheduling according to the calculated server criticality when scheduling the offline work.

The invention discloses a mixed task set dispatching method based on a VxWorks operation system, mainly solving the problems of poor non-periodic task instantaneity and low CPU utilization ratio in a plurality of mixed dispatching methods. The method comprises the following steps: creating a mixed task set and a special periodic task and creating a semaphore for the special periodic task; judging the dispatching performance of the mixed task set by an improved time-demand algorithm before carrying out task dispatch; dispatching the periodic task according to a preemptive dispatching algorithm based on a priority level and supplied by VxWorks; sequentially judging the running condition of a non-periodic task in the running process of the special periodic task; if the running condition of a non-periodic task is met, releasing the corresponding semaphore to run the non-periodic task; and releasing the semaphore after running the non-periodic task to run the special periodic task. The invention improves the utilization ratio of a CPU, reduces the response time when the non-periodic task is dispatched, and can be used for dispatching the mixed task set with more non-periodic tasks.

The invention discloses a global load balancing method and a server for realizing hybrid scheduling, wherein when a service request which is transmitted by a user terminal is received, destination address information which is included in the service request is extracted; the destination address information is converted to the destination address conversion information which agrees with an IPv6 protocol; resource matching is performed according to the destination address conversion information for determining a CDN server resource pool which is related with the destination address conversion information; and by means of a global load balancing strategy, an optimal CDN server relative to the user terminal is selected from the CDN server resource pool. Whether the destination address conversion information contains a specific prefix is determined, and if yes, the address of the optimal CDN server is transmitted to the user terminal according to an IPv4 protocol; and otherwise, the address of the optimal CDN server is transmitted to the user terminal according to the IPv6 protocol. Therefore the user with different addresses can share the CDN resource.

The invention discloses a hybrid trigger scheduling method used for an airborne fiber channel. A time axis is divided into time trigger segments, dynamic segments and default segments, wherein the time trigger segments are used for transmitting data frames triggered based on time; the dynamic segments are used for transmitting data frames triggered not by time; and the default segments are used for synchronizing and correcting a network clock. According to the invention, through division and layering on the time axis, a feasible execution method is brought forward for realizing time trigger and event trigger hybrid scheduling of a fiber channel. The method is simple in design and fast in disposition, is compatible with a conventional fiber channel network system, and has remarkable economic benefits and application prospect.

The invention discloses a task hybrid scheduling method and device, a scheduling server and a resource server. The task hybrid scheduling method comprises the steps: receiving a task scheduling request of a container and/or a process by the scheduling server; creating a scheduling task group of the tasks based on the resource demand information and the task feature information of the tasks; determining a resource server matched with the scheduling task group based on the resource demand information corresponding to the scheduling task group; issuing a scheduling task group carrying the task feature information to a matched resource server; and determining a starting strategy based on the task feature information by the matched resource server, and starting a task corresponding to the scheduling task group based on the starting strategy. By utilizing the technical scheme provided by the invention, the hybrid scheduling of the container and the process task can be realized, and richer service discovery characteristics and functions are provided for the application of various services, and the diversified scene requirements of the services are met, and the bearing capacity of the platform is improved.

The invention discloses a hybrid queue architecture and a hybrid scheduling method for an input queue switch. Data packet transmission is carried out between the input port and the output port througha switching structure, the central scheduler executes a scheduling algorithm and completes configuration of the switching structure, two types of virtual output queues are established in the input port, and a stream virtual output queue is added; a data packet newly arriving at the input port is allocated to two types of virtual output queues through a filter, and the data packet input to the input port is dispatched and a switching structure of the switch is configured by the central dispatcher by adopting an integrated frame reservation and time slot-based hybrid dispatching method. According to the invention, the method is compatible with the virtual output queue technology of the existing Internet input queue switch, and the QoS service of the flow granularity is provided for the deterministic service at the same time; and the time for the packet to enter the queue and leave the queue is reduced, and unused reserved resources can be shared to all non-deterministic services, so that the resource utilization rate is maximized.