40results about How to "Improve scheduling success rate" patented technology

The invention discloses a method for scheduling users in a plurality of communities and wireless access network equipment thereof; the method comprises the following steps that: schedulable resource information and information of users to be schedules in various communities are obtained; the resources used by the users to be scheduled in the communities are determined according to the resource information and the user information; the resources used by the users to be scheduled in the communities are notified to the corresponding communities; and the communities distribute the resources used by the users to be scheduled in the communities according to the notice. The invention realizes the centralized scheduling of the resources of various communities, can be used to assist in multi-pointtransmission, can effectively complete the coordinated scheduling of the communities, prevent resource impact and conflict, and improve the success rate of scheduling.

The invention discloses a resource scheduling method and apparatus, and a resource application method and apparatus of LTE non-licensed frequency bands in order to solve the problem of high failure rate of UL scheduling in the prior art. The resource scheduling method includes: a base station divides scheduled UE employing same time frequency resources into a plurality of UE groups, then different extra interception times are respectively configured for the UE groups, each UE continues to perform channel interception in the corresponding duration corresponding to the extra interception time after obtaining a channel access chance, and channel access is performed if it is still determined that the channel is idle after interception. Therefore, the plurality of UE can simultaneously compete for the channel access chance through one-time scheduling, since different UE is in different interference environments, the condition that all the UE is interfered and blocked rarely appears, finally there is the UE which has the proper condition and successfully accesses the channel for uplink data transmission, the hit rate of UL scheduling success is effectively increased, and the success probability of UL transmission is substantially increased.

The invention discloses an emergency-orientated co-cooperation allocation method for multi-airship earth observation tasks, aiming at dynamically performing task allocation, and increasing the scheduling success rate of the tasks as far as possible. In the technical scheme, the co-cooperation allocation method comprises the steps of: firstly, establishing a task set AT to be allocated, performing positive bid inviting on the tasks in the AT, and screening all resources meeting a basic capacity constraint; secondly, calculating the positive bid values of the resources in a resource competition roulette set according to the capacity of a buffer pool, and biding; choosing the biding resources of the tasks by adopting a Max strategy, determining the positive resources winning the bidding of each task, and performing reverse bid inviting on the task; reversely biding the resources and calculating the reverse biding value for each biding task; and choosing the biding tasks by adopting a roulette strategy, finishing reverse bidding winning to obtain a task allocation result. With the emergency-orientated co-cooperation allocation method disclosed by the invention, on one hand, unnecessary calculation time and unnecessary communication traffic can be reduced; and on other hand, the scheduling success rate of the tasks can be increased.

The embodiment of the invention discloses a control information transmission method, equipment and a communication system. The method comprises the following steps: determining a first scheduling wayfor performing uplink data scheduling at present for a terminal, wherein the first scheduling way includes self-scheduling or cross-carrier scheduling; monitoring a plurality of parameters in a wireless communication network; dynamically adjusting the first scheduling way according to a monitoring result of the plurality of parameters in the wireless communication network; transmitting control information carrying an adjusted scheduling way to the terminal; and subsequently performing uplink data scheduling for the terminal in the adjusted scheduling way. Through implementation of the controlinformation transmission method, the equipment and the communication system, the system performance can be enhanced.

The invention belongs to the technical field of computer networks, and specifically discloses an inter-data-center big-data transmission bandwidth scheduling method with a deadline constraint. Firstly, user input requests are divided into two types of fixed-bandwidth big-data requests and variable-bandwidth big-data requests, sorting is carried out, then decision processing is sequentially carriedout according to a sorted request sequence, and two different methods are employed to respectively process the fixed-bandwidth big-data requests and the variable-bandwidth big-data requests. According to the method, the two different types of user requests of the fixed-bandwidth big-data transmission requests and the variable-bandwidth big-data transmission requests can be transmitted; request transmission can be quickly completed for processing of the fixed-bandwidth big-data transmission requests; and a scheduling success rate and a user satisfaction degree can be maximized for processing of the variable-bandwidth big-data transmission requests. The method improves a scheduling success rate of the user requests, and fully uses network resources.

The invention relates to the technical field of computers, in particular to a node binding-supporting virtual machine dynamic scheduling method. The method comprises the following steps of marking several virtual machines with special requirements on a cloud platform into a virtual machine group; marking several physical machines with special configuration into a node group; limiting that the virtual machines in the specific virtual machine group just can run just under the physical machines in the specific node group; collecting a scheduling factor numerical value x of each physical machine in time; judging whether x is greater than or smaller than a scheduling factor lower limit threshold value A and a scheduling factor upper limit threshold value B when the scheduling factor numerical value collected by a physical machine P1at a certain time is x; scheduling under an energy saving mode if x is smaller than A; scheduling under a performance mode if x is greater than B; entering a corresponding mode and scheduling. According to the method disclosed by the invention, dynamic scheduling of virtual machines with special requirements is realized, and the method can be used for dynamic scheduling of the virtual machines.

The invention discloses a real-time task and resource scheduling method with a function of machine startup time perception in virtualized clouds to reduce impact of time overhead of starting hosts and creating virtual machines on timeliness of suddenly adding tasks, increase task completion rate and reduce energy consumption of a cloud service system. The technical scheme is that a free emergency virtual machine is arranged on each started host; when a new task arrives, mapping relationships between all waiting tasks and the virtual machines are cancelled and the new task is added into a waiting task queue; and then waiting tasks are scheduled one by one according to a principle of earliest deadline first, i.e., the task is mapped to the existing virtual machine, if the operation is infeasible, a new virtual machine is added for executing the task, and if the operation is also infeasible, the CPU frequency of the free emergency virtual machine is increased for executing the task. With the adoption of the method, the influence of delay caused by starting the hosts and creating the virtual machines on a task with relatively short deadline can be transferred and the success rate of task scheduling is increased as far as possible.

The invention relates to an industrial wireless network deterministic scheduling method supporting data packet aggregation, and belongs to the field of industrial wireless network communication. For an industrial wireless network supporting data packet aggregation, a scheduling method combining a main link and an additional link is adopted to configure time slots and channel resources of the network so as to meet the deterministic transmission requirement that a data stream reaches target equipment within deadline. According to the method, links are scheduled channel by channel in each time slot, the link with the minimum conflict relaxation degree is selected as a main link, and an additional link is selected from remaining links by utilizing a data packet aggregation function, so that data packets of the additional link are subjected to aggregation transmission along with data packets of the main link; and an additional link is selected, specifically an additional link scheduling method based on conflict relaxation priority, an additional link scheduling method based on aggregation packet number maximum priority, or an additional link scheduling method considering packet aggregation combination and conflict relaxation. The network energy consumption can be reduced, and the scheduling success rate is improved.

The invention discloses a workflow energy consumption and reliability scheduling method and device under deadline constraints, and the method comprises the steps: dividing a workflow into a pluralityof task sets according to the hierarchical number of a task, determining an extended sub-deadline of each task according to the initial sub-deadline of each task and the extended time of each task set, determining the priority of each task, determining a task priority queue according to the priority of each task, and generating a preset number of initial scheduling schemes with different energy consumption values and reliability according to the task priority queue. According to the method, the deadline constraints of the workflow are converted into the sub-deadline constraints of each task, so that the deadline constraints of the workflow can be better met, and the deadline constraints are easier to manage. Meanwhile, the invention provides a heuristic multi-objective optimization method,a non-dominated thought is mainly adopted, and a plurality of scheduling schemes with different reliability and energy consumption can be quickly generated by a multi-objective optimization technology.

The invention discloses a genetic algorithm-based resource scheduling method for inverse synthetic aperture radar ISAR imaging. The method mainly comprises the following steps of: 1, generating a scheduling sequence; 2, calculating an evaluation value; 3, updating the scheduling library; 4, calculating a fitness value; 5, encoding the scheduling sequence; 6, performing gene crossing on the code words; 7, performing gene variation on the code words; 7, decoding the gene sequence; And 8, performing cyclic operation on the steps to obtain a resource scheduling result. According to the invention,the genetic algorithm is used to update the scheduling library according to the evaluation value of the scheduling sequence, and the scheduling library obtains the resource scheduling result, so thatthe evaluation value of the resource scheduling result is more stable, and the scheduling success rate of the inverse synthetic aperture radar ISAR imaging task is improved.

The invention relates to the technical field of task scheduling in real-time systems, and particularly to a dynamic priority-based task scheduling algorithm, which is provided to overcome the problem of sharp increase of deadline miss ratio known in dynamic priority algorithms under the circumstances of system overload, thereby reducing average task delay, increasing success ratio in scheduling, as well as improving fairness among tasks and further eliminating the chance of overhigh deadline miss ratio with respect to tasks with long execution time (E).

The present invention provides a paging message scheduling method and device and belongs to the communication technological field. The invention aims to improve the scheduling success rate of paging messages. The paging message scheduling method includes the following steps that: N candidate paging message packets are acquired, wherein N is an integer greater than 0; the N candidate paging messagepackets are encoded, so that N encoded candidate paging message packets are obtained; paging message scheduling information corresponding to the N encoded candidate paging message packets is determined respectively; and the N encoded candidate paging message packets and the paging message scheduling information are sent to a bottom layer. With the paging message scheduling method and device of the invention adopted, the scheduling success rate of the paging messages can be improved.

The invention provides a Q value table learning method for multi-unmanned aerial vehicle cooperative communication scheduling, a multi-unmanned aerial vehicle cooperative communication scheduling method, a Q value table learning device, electronic equipment and a storage medium. The Q value table learning method comprises the steps of determining an initial Q value table of a current unmanned aerial vehicle, wherein the Q value table records Q values corresponding to different cooperative communication strategies executed by the N unmanned aerial vehicles when the corresponding unmanned aerialvehicle is in each environment state, the different environment states represent different disturbed conditions of the signals of the target frequency band, and each cooperative communication strategy represents a combination of communication strategies of each unmanned aerial vehicle in the N unmanned aerial vehicles; obtaining the Q value tables of other unmanned aerial vehicles except the current unmanned aerial vehicle in the N unmanned aerial vehicles in the Kth time slot; and updating the Q value of the current unmanned aerial vehicle in the Q value table of the Kth time slot through aQ learning mode to obtain the Q value table of the (K + 1) th time slot. The Q value table learning method provided by the invention can improve the overall scheduling success rate of the N unmanned aerial vehicles.