1000 results about "Resource distribution" patented technology

The present invention relates to a system and methodology facilitating flexible resource distribution in an industrial control environment. A query component is provided to determine one or more system resources from a networked industrial controller system, wherein the resources can include listings of applications, configurations, variable settings, and performance capabilities associated with a controller. Upon receiving available resource listings from various control devices, a distribution component can update the devices based in part on the resource listings and according to various criteria. A configuration component can be utilized in the controller system to provide network updates of controller parameters and to facilitate automated protocol selections when interacting with out-of-network devices. An analysis component can interact with the query, distribution, and configuration components to support higher-level decision-making in the resource distribution and allocation process.

The invention discloses a controller for determining a network state based on an SDN (Software Defined Networking) and a determination method thereof. The controller comprises a state updating module, a calculation module, an execution module, a flow management module and an evaluation module, wherein the state updating module is used for updating through a state and a path calculated by the calculation module; the calculation module is used for calculating a current network resource state N; the execution module is used for setting rules according to the path calculated by the calculation module and writing the path into a flow meter; the flow management module is used for carrying out congestion avoidance, flow supervision and shaping; and the evaluation module is used for carrying out synthetic judgment according to the current network resource state N calculated by the calculation module and QoS (Quality of Service) requirements of an application when receiving the application transmitted by a switch. According to the controller, the network state can be accurately controlled, a forwarding plane is precisely controlled, a 'Q+X' resource distribution mode is proposed, and the network resource is scheduled, so that the flexibility, the high efficiency, the intelligence and the optimization of a network can be realized.

A system for managing allocation of resources based on service level agreements between application owners and cloud operators. Under some service level agreements, the cloud operator may have responsibility for managing allocation of resources to the software application and may manage the allocation such that the software application executes within an agreed performance level. Operating a cloud computing platform according to such a service level agreement may alleviate for the application owners the complexities of managing allocation of resources and may provide greater flexibility to cloud operators in managing their cloud computing platforms.

A resource download process is provided which includes accepting and/or determining evidence about user based factors, accepting and/or determining resource based factors, and maximizing the expectcd value of downloading resources. A resource distribution process is provided which includes accepting and/or determining user based factors, accepting and/or determining resource based factors, accepting and/or determining intermediate storage facility based factors, and minimizing the total expected latencies between requesting and receiving resources. A process for distributing resources is provided which includes determining a change in value and a change in cost of storing resources on a first storage facility versus storing resources on a second storage facility, determining a value density based on the change in value and the change in cost, and maximizing a total value density given a total size of resources being less than the finite available capacity of the first storage facility.

The invention relates to the dynamic resource scheduling technique in the cloud computing field, and provides a cloud computing dynamic resource scheduling method based on the feedback and a prediction mechanism. The method aims to overcome the defects of the cloud computing resource distribution and scheduling technique in the prior art, and can achieve balance use of various computer resources in a cloud computing environment, obtain satisfactory load balance under small pay expenses and improve comprehensive efficiency of system scheduling. According to the scheme, various performance indexes of virtual machines are monitored in real time in operation processes of the virtual machines, operation circumstances of all the current virtual machines within a next short period of time are predicted according to the monitored various current performance indexes of the virtual machines and a virtual machine state prediction model based on state feedback when a task request comes, and the most adaptive virtual machine is selected by combining a prediction result and a required task type and the required task is distributed. In addition, the invention further discloses a corresponding cloud computing dynamic resource scheduling system applicable to dynamic resource scheduling.

A resource distribution method capable of lending surplus resources among a plurality of services and reducing the maintenance cost of the surplus resources is provided. Computer resources in the standby system have a dead standby state in which at least an application is not installed. A plurality of services or a plurality of users share the computer resources in the standby system. As a result, improvement of the utilization factor of idle computer resources and server integration are implemented, and the cost required to maintain the computer resources is reduced. Furthermore, load prediction is conducted as regards individual services by using past operation history. Idle computer resources secured from services having surplus and maintained are thrown in according to a result of the prediction.

The present invention relates to a system and methodology facilitating flexible resource distribution in an industrial control environment. A query component is provided to determine one or more system resources from a networked industrial controller system, wherein the resources can include listings of applications, configurations, variable settings, and performance capabilities associated with a controller. Upon receiving available resource listings from various control devices, a distribution component can update the devices based in part on the resource listings and according to various criteria. A configuration component can be utilized in the controller system to provide network updates of controller parameters and to facilitate automated protocol selections when interacting with out-of-network devices. An analysis component can interact with the query, distribution, and configuration components to support higher-level decision-making in the resource distribution and allocation process.

A reference signal of a user equipment to which a resource (LB#1) is allocated for a L1/L2 control signal, is allocated a resource (SB#1) that is closer on the time axis to the resource (LB#1), which the L1/L2 control signal is allocated, within the same frequency band as the L1/L2 control signal. A reference signal for CQI estimation, independent of a data signal and a L1/L2 control signal, is allocated a resource with which at least one of a reference signal for demodulation of a data signal and a reference signal for demodulation of a L1/L2 control signal is not transmitted at the same timing within the transmission band. The types of bandwidths of the reference signals multiplexed in a same short block within a same band are reduced, whereby restrictions as to the number of reference signal sequences that can be secured are diminished.

The invention discloses a distribution method for frequency source of wireless system which includes: every section reports the information that indicates the load state or the needed frequency source periodically; it decides the needed frequency source according to the reported information from sections, and judges the needed frequency source is bigger than the fixed frequency source which belongs to the section, if yes, the spare frequency source of adjacent sections is distributed for the section. The invention also provides the corresponding frequency source distribution device and wireless communication system. The invention can adjust the main frequency source that occupied by the boundary users according to the different load requirement of sections, it can avoid the disturbance between the section and improve the throughput of section boundary.

The invention discloses a cloud computing resource scheduling method based on scheduling object space. According to the method, the concept of scheduling object space is introduced for setting a flexible standard framework, so that a user can explain the requirement on service resource scheduling, namely the user can select required scheduling attribute for optimization, wherein a multi object resource distribution scheduling mechanism can make adaptive resource scheduling decision under the driving of the expandable user scheduling object space. The method can dynamically deploy cloud computing resource according to the requirement of the user on resource scheduling, and realizes the adaptive optimal distribution of the cloud computing resource driven by the user requirement. Moreover, the scheduling strategy can avoid over turning-on of a cloud computing server as much as possible, thereby improving the utility ratio of resources and reducing the cost of a cloud service provider.

The present invention provides a method and device for avoiding D2D (Device-to-Device) communication interference, relates to the technical field of wireless communication, and solves the problem of interference on cellular transmission by D2D transmission. The method includes: obtaining, by user equipment, a D2D resource distribution approach and/or D2D power control information; and using, by the user equipment, the D2D resource distribution approach and/or D2D power control information for D2D transmission. The technical solution provided by the present invention is adapted to the network of the D2D technology, and achieves successful D2D transmission and uplink cellular transmission.

The embodiment of the invention discloses a method, equipment and a system for sharing a frequency spectrum resource, which relate to the field of wireless communication and are used for realizing the sharing of a dynamic frequency spectrum resource among different mobile honeycomb networks on the basis of ensuring the network coverage and the service continuity. The method comprises the following steps: dividing the frequency spectrum resource into a basic frequency band and a dynamic frequency band, wherein the basic frequency band is used for ensuring the network coverage and the service continuity of at least two networks of the sharing frequency spectrum resource; fixedly distributing the basic frequency band in the frequency spectrum resource to at least two networks in a static mode, and distributing the dynamic frequency band in the frequency spectrum resource to at least two networks in a dynamic mode; and transmitting the frequency spectrum resource distribution information of the basic frequency band and the frequency spectrum resource distribution information of the dynamic frequency band to a base station so as to be used for the frequency spectrum resource allocation of the base station. The invention is suitable for mobile honeycomb networks, such as GSM, UMTS, LTE, CDMA2000, WiMAX and the like.

The invention provides an ant colony optimization computing resource distribution method based on a cloud computing environment. The computing resource distribution method is based on ant colony optimization and characteristics of the cloud computing environment. The cloud computing resource distribution method comprises the steps of predicting computing quality of potential available nodes, analyzing influence of factors such as network bandwidth occupation, quality of a track, responding time, task cost and reliability on resource distribution according to characteristics of a cloud computing service mode, and then obtaining a set of optimized computing resources by means of the ant colony algorithm. According to the algorithm, shorter responding time and better running quality can be acquired compared with other distribution algorithms which aim at the network on the premise that cloud computing environment requirements are met, and therefore the ant colony optimization computing resource distribution method based on the cloud computing environment is more suitable for the cloud environment.

A system and method for input thresholding packets in a network switch. A network switch may include multiple input ports, multiple output ports, and a shared random access memory coupled to the input ports and output ports by data transport logic. Packets entering the network switch may be assigned to one of a plurality of threshold groups and to one of a plurality of flows within the threshold group. In one embodiment, each threshold group may be divided into a plurality of levels of operation. As resources are allocated or freed by the threshold group, the threshold group may dynamically move up or down in the levels of operation. Within each level, one or more different values may be used as level boundaries and resource limits for flows within the threshold group. In one embodiment, programmable registers may be used to store these values.

The invention provides a resource distribution method and system. The method comprises the steps that the initial weight coefficients of attribute data of M queued tasks are generated according to resource deployment data at the starting moment of each resource distribution period; the M tasks are clustered according to the attribute data, and the M tasks are divided into a plurality of sets; initial weight coefficient vectors formed by the initial weight coefficients of the attribute data of each set are respectively adjusted through the entropy evaluation method, and the weight coefficient vector of each set is obtained; the priority scores of the tasks are respectively calculated according to the weight coefficient vectors of the sets which the tasks belong to and the attribute data of the tasks, and resource distribution is carried out on the tasks according to the priority scores from large to small. The resource utilization rate can be improved.

An embodiment of the invention discloses an upward resource scheduling method of a TDD system, a system and a device, realizing dynamic scheduling on the upward resource on the basis of ensuring optimal transmission performance. The upward resource scheduling method comprises: a base station distributes upward resources for transmitting upward data on the user equipment, and transmits upward resource distribution information including upward sub-frame indexes in the sending time span corresponding to the upward sub-frame occupied by the upward resource, the sending time span corresponding to the upward sub-frame is arranged in advanced; the user equipment receives the distribution information, determines the upward sub-frame according to the upward sub-frame indexes and the upward sub-frame scheduling strategy, and transmits the upward data on the upward resource indicated by the distribution information in the upward sub-frame. An upward resource scheduling system comprises: user equipment and a base station. The embodiment of the invention also discloses a base station and user equipment.

The present invention discloses a group system comprising a load balanced server and at least two sub nodes, wherein the at least two sub nodes are used for respectively collecting respective various source information, and sending the source information to the load balanced server; the load balanced server is used for receiving tusk requirements and the various source information; sub nodes for processing the tusk requirements are ensured according to load balanced tactics and the various source information; and the tusk requirements are sent to the ensured sub nodes. Correspondingly, the present invention also discloses a method for realizing load balance and the load balanced server. The sub nodes for processing the tusk requirements are ensured according to the load balanced tactics and the various source information respectively sent by the at least two sub nodes in the group system, the most reasonable source distribution is realized in the group system, and flexible configuration can be realized according needs to enable the processing efficiency of the group system to improve mostly.

The invention discloses a signal path measurement resources distribution method of a wireless broadband access. The method comprises that a terminal receives a signal path measurement request transmitted by a base station, the signal path measurement request comprises a signal path to be measured and the measuring time, and the terminal conducts the measurement to the signal path to be measured in the measuring time. The invention also discloses a signal path measurement resources distribution system, a base station and a terminal of a wireless broadband access system. By using the method of the invention, the terminal can obtain accessible measurement resources without affecting the normal service communication between the terminal and the service base station.

Nonlinear adaptive resource management systems and methods are provided. According to one embodiment, a controller identifies and prevents resource starvation in resource-limited systems. To function correctly, system processes require resources that can be exhausted when under high load conditions. If the load conditions continue a complete system failure may occur. Controllers functioning in accordance with embodiments of the present invention avoid these failures by distribution shaping that completely avoids undesirable states. According to one embodiment, a Markov Birth/Death Chain model of the resource usage is built based on the structure of the system, with the number of states determined by the amount of resources, and the transition probabilities by the instantaneous rates of observed consumption and release. A control stage is used to guide a controller that denies some resource requests in real systems in a principled manner, thereby reducing the demand rate and the resulting distribution of resource states.

The invention relates to the field of cloud storage and discloses a cloud storage resource distribution method and system. The cloud storage resource distribution method includes the steps that when a request, for locking shared resources, of a client side is received, a lock node of the shared resources and a client side lock identity node are created in a synchronous storage space; if the lock node does not exist in the synchronous storage space, the lock node is created successfully, and the client side exclusively uses the shared resources; if the lock node exists in the synchronous storage space already, the lock node is not created successfully, an own client side identity node is created, and other client side lock identity nodes which are created lately are registered and observed; when the shared resources are unlocked, corresponding lock node and the client side lock identity node are deleted, and the client side which registers and observes the client side lock identity node is notified. Dead halt of distributed service nodes cannot lead to deadlock, the problem of single-point fault is solved, high reliability is realized, the client side which registers and observes is notified timely when lock resources are released, each client side does not need to poll lock state, system expenditure is saved, and distribution efficiency of the lock resources is improved.

The invention discloses a terminal system for synchronous teaching or conferences. The system is characterized by also comprising a network synchronous communication module, wherein the network synchronous communication module is used for processing, playing and displaying session contents such as collected audio data, video data and handwriting data as well as documents opened by users, sending the processed session contents to a remote terminal through the Internet, and processing, playing and displaying the session content data received from the remote terminal. According to the invention, a traditional teaching method and an online teaching method are combined organically, therefore, the problems of teaching resource shortage and uneven prominent teacher resource distribution caused by geographical position, regional difference between the rich and the poor and other factors can be solved, severe occupational diseases caused by the traditional teaching method can be relieved, the defects of current long-distance teaching system and equipment can be overcome, and meanwhile, the teaching interaction can be improved and the study enthusiasm of students can be enhanced. The terminal system is also applicable to web conferences and local conferences.

The invention discloses a method, device and system for reporting a channel quality indicator, which are used for solving the problem that resources can not be correctly distributed and dispatched because a network side cannot accurately master interference to a terminal in a multi-point cooperative transmission technology. The method comprises the following steps: UE (User Equipment) feeds back an initial CQI (Channel Quality Indicator) of each device in a measurement set to a network side device according to measuring reference information transmitted by each device in the measurement set; and the network side device calculates a target CQI of the UE according to the initial CQI of each device fed back by the UE and channel matrix reference information fed back by the UE. Therefore, the network side can accurately master the interference to the UE so as to correctly execute UE dispatching, resource distribution and MCS (Modulation and Coding Schemes) selection, thereby system throughout under coordinated multipoint transmission is effectively increased and system performance is improved.

The invention relates to a Hadoop cluster-oriented distributed monitoring and management system. A monitoring and management system which is relatively suitable for actual requirements of people mainly comprises a performance monitoring module, a fault alarm module, a comprehensive analysis and query module, a comprehensive display module, a data storage module, a configuration management module and a system management module. Resource distribution of a server can be known through the system; the Hadoop operation condition is tracked; the abnormal condition is alarmed; the Hadoop platform configuration operation is simplified; the system resource bottleneck is found on this basis; and the performance is optimized. The system can also be applied to monitoring and management of distributed clusters in other requirement environments.

The invention discloses a layered resource reservation system under a cloud computing environment. The system consists of a center reservation server, an area reservation server and a multi-level resource pool, wherein the center reservation server comprises a reservation request response layer and a multi-area center reservation collaborative layer; the reservation request response layer is responsible for sending a resource reservation request and accessing reserved resources; the multi-area center reservation collaborative layer is responsible for receiving the resource reservation request of the center reservation server; the area reservation server is divided into a logic scheduling layer and a resource distributing layer; the logic scheduling layer is responsible for receiving a resource reservation subrequest and distributing resources logically; the resource distributing layer is responsible for executing resource distribution and recovery; and the multi-level resource pool comprises a plurality of computing nodes which can be scheduled. The layered resource reservation system can adapt to the dynamic properties of a cloud computing platform and cloud computing application, thus eliminating mutual influences of various cloud computing applications due to resource competition, and guaranting the normal and stable operations of applications and services.

The embodiment of the invention provides a contention-based resource configuration method. The method comprises the following steps that: network equipment configures contention-based resource parameters, wherein the contention-based resource parameters comprise one or any combination of a contention-based resource block period/frequency, primarily distributed contention-based resource block quantity, a contention-based resource block size, a modulating and coding format and expected receiving power; and the network equipment informs user equipment of the contention-based resource parameters. The embodiment of the invention also provides a contention-based resource distribution device, a contention-based resource using method, a contention-based resource transmitting power setting method, the corresponding network equipment and the corresponding user equipment. By using the technical scheme provided by each embodiment of the invention, contention-based resources can be distributed more reasonably; the user equipment can know the contention-based resources; and the contention-based resources can be used more reasonably and flexibly.

Described are methods and apparatuses, including computer program products, for optimizing allocation of resources across projects in a project portfolio. The method includes receiving, at a computing device, (i) resource information, (ii) a portfolio of project definitions and (iii) one or more portfolio-level optimization criteria. The resource information representing a plurality of resources available for allocation to the projects, and each project definition includes a unique identifier and one or more project-level constraints. The method also includes generating, using the computing device, a plurality of project portfolio allocation scenarios and determining one or more optimized project portfolio allocation scenarios from the plurality of project portfolio allocation scenarios. Each project portfolio allocation scenario satisfies the one or more project-level constraints associated with each project definition. Each optimized project portfolio allocation scenario optimizes a sequence of the projects to satisfy the one or more portfolio-level optimization criteria.

The invention relates to a resource management method suitable for a multilayer satellite system. The resource management method adopts the following design principle that high altitude satellites are used as reserved resources and are specially used for distributing resources for users with high priorities and high QOS (Quality of Service) requirements and distributing the resources for the user as required in a real-time manner; and meanwhile, low earth orbit satellites are combined and are used as ground network supplements, the characteristics of high-speed motion and the like of the low earth orbit satellites are considered and a method for dynamically distributing the resources for users with low priorities by using efficiency, cost and user publicity as evaluation indexes is designed. According to the design, the characteristics of the high altitude satellites and the low earth orbit satellites are combined; the priorities of the users are considered; the resources are distributed for the users with high priorities as required; a multi-target evaluation function is designed for the users with low priorities; and the multi-target evaluation function is nondimensionalized, so that in the resource management process, the evaluation indexes of other targets are not ignored due to an excessive function value of a certain index, and thus, a multi-target optimization method which has the advantages of short time delay, high bandwidth utilization rate and balanced resource distribution is integrally implemented.

A resource distribution method of dynamic time frequency and code sequence includes searching suitable time frequency resource block as per channel quality, finalizing time frequency resource distribution to channel; finalizing code sequence distribution according to distributed code sequence information in time frequency resource block.

The invention provides a resource distribution method and a resource distribution device. The resource distribution method comprises the steps of respectively acquiring historical operation data of each user within a first preset time period before current time; respectively fitting the historical operation data of each user and forecasting a resource utilization amount of each user at the next time by using a first preset model; and adjusting the amount of resources occupied by each user at the next time according to the resource utilization amount of each user at the next time. According to the resource distribution method and device provided by the invention, the resource utilization amount of the user at the next time is forecasted and adjusted according to the historical operation data of the user, so that user resource distribution accuracy of a cloud platform is enhanced, a utilization rate of the cloud platform resources is improved, operation cost of the cloud platform is saved, operation processes of the user are reduced, and user experience is improved.

The invention discloses a combined scheduling method of satellite-ground measurement and control resources of a low-mid-orbit satellite constellation based on orbit determination constraint satisfaction, and belongs to the field of combined scheduling of the satellite-ground measurement and control resources. The method comprises the steps of (1) building a visible geometry model, (2) building a visible link model, (3) building the constraint condition of orbit determination, (4) carrying out preprocessing, (5) determining a resource distribution principle, (6) building a combined scheduling model of the satellite-ground measurement and control resources, and (7) carrying out algorithm solution. Compared with the prior art, the method has the advantages that the scheduling result is reasonable, the scheduling process is efficient, and the scheduling method is high in universality. The air-and-ground-based integrated scheduling of the measurement and control resources is achieved. The transition from ground-based measurement and control to air-and-ground-based combined measurement and control in China is achieved.