128 results about "Resource combination" patented technology

A method and apparatus for antenna switching, grouping, and channel assignments in wireless communication systems. The invention allows multiuser diversity to be exploited with simple antenna operations, therefore increasing the capacity and performance of wireless communications systems. Channel characteristics indicative of signal reception quality for downlink or bi-directional traffic for each channel/antenna resource combination are measured or estimated at a subscriber. Corresponding channel characteristic information is returned to the base station. Channel characteristics information may also be measured or estimated for uplink or bi-directional signals received at each of multiple receive antenna resources. The base station employs channel allocation logic to assign uplink, downlink and/or bi-directional channels for multiple subscribers based on channel characteristics measured and/or estimated for the uplink, downlink and/or bi-directional channels.

The invention provides a terminal D2D communication method and a terminal D2D communication system. The terminal D2D communication method includes the steps that each base station distributes a plurality of time-frequency resource combinations used for terminal D2D communication for a D2D terminal which is served by the base station, so that a resource pool is formed; different base stations distribute the same resource pool for the D2D terminals which are served by different base stations for D2D transmission so as to ensure that the D2D terminals which are served by different base stations can be in D2D communication. According to the technical scheme, the problem that adjacent cell edge terminals cannot be in communication due to different communication resources can be solved.

The present invention is directed to provisioning and managing computing services in a computing utility system. It receives as an input an infrastructure independent description of a set of requirements on the new desired state of a computing service. It uses a knowledge plane to represent the infrastructure. The method generates a Concrete Model that describes a resource structure that refines the input and is implementable over the infrastructure. It then generates and possibly executes provisioning actions to create an identical resource structure on the infrastructure. The method can be used to create new computing services, to destroy existing computing services, to modify the resource combinations allocated to a computing service, or the configuration of these resources. Provisioning actions can be executed immediately, or saved and executed later, and possibly many times. Provisioning actions may be regenerated using the method whenever infrastructure characteristics, or the service requirements change.

The invention discloses a smart management system for energy management and electricity transaction in a virtual power plant and a method for optimizing operation thereof. A distributive energy unit serves as terminal energy and an information source apparatus of the virtual power plant smart management system, and thus a distributive resource system is formed. The virtual power plant smart management system is composed of an operation data collection and management module, an enterprise resource management, prediction and resource deployment combination module, an electricity selling plan optimization module, a transaction platform module, a real-time scheduling optimization module, and a control scheduling execution and synchronous simulation function module. According to the invention, distributive energy information management which is featured by a distributive power generation and energy storage apparatus and a flexible load device is adopted. An entire system architecture is provided for implementing all necessary function modules, such as prediction, resource combination management and deployment optimization, power supply and scheduling optimization, market transaction, real-time monitoring and scheduling. The system and method of the invention have great potential in new energy sources, distributive power generation and electricity sell, and in future power system for realizing efficient demand side power management, and in power market environment after power reform.

The invention relates to a mass data resource management frame under a cloud environment, which comprises a physical storage layer, a mass storage net, a data conversion layer, a data management layer, a safety management layer, a resource combination layer and an application layer, wherein a related cloud database supports and stores data which is converted from other data sources, such as the THCloud DB (Database) system which developed by Tsinghua University in China. The mass data resource management frame under the cloud environment can realize the unified management and organization to isomeric mass resources under the cloud environment, and provides a set of complete solution for mass and isomeric data organization and management under the cloud environment.

The invention discloses a cloud manufacturing service resource match and combination method based on performance fusion. According to a relationship between cloud manufacturing service resources and cloud manufacturing resource requirements of users, a cloud manufacturing service resource combination is divided into two stages of match and combination, a performance fusion model of the match and the combination is constructed, and combination schemes are evaluated and sequenced by means of a dynamic multi-attribute decision-making method to filter an optimal cloud service resource combination scheme. According to the cloud manufacturing service resource match and combination method based on performance fusion, the problem that current networking manufacturing resource match methods can't be directly used for achieving cloud manufacturing service match; and simultaneously, idle manufacturing cloud can be used for automatic rent-seeking on a cloud platform and is convenient, fast, safe and cheap for customers to use, a many-to-many mapping relationship of requirements and services is n:1:m, and by means of the many-to-many mapping relationship, a multi-layer and three-dimensional manufacturing service is provided for manufacturing industries.

The invention discloses an elastic resource forecasting and building method for cloud computing. The method comprises the following steps: (1) a forecasting unit and a resource building unit are initialized; (2) the forecasting unit calculates the expectation, namely a formula shown in a drawing, of a first time point t1; (3) the resource building unit calculates the resource number M1 of the t1, wherein M1 is equal to a formula shown in a drawing; (4) the resource building unit selects a computing resource combination, and a cloud-computing virtual machine computing unit is started up; (5) whether a next time point t(n+1) reaches or not is judged; (6) if the t(n+1) reaches, the forecasting unit calculates the expectation, namely a formula shown in a drawing, of the t(n+1); (7) the resource building unit calculates the resource number M(n+1) of the t(n+1), wherein M(n+1) is equal to a formula shown in a drawing; and (8) the resource building unit compares the M1 with the M(n+1), the computing resource combination is increased when the M(n+1) is greater than the M1, when the M(n+1) is smaller than the M1, the computing resource combination is closed, and the operation is returned to the step (3). The method has the advantages that the effectiveness ratio of the cloud computing is increased, the characteristic that the cloud computing services on demand and is built elastically is effectively utilized, the effects of energy conservation and emission reduction are improved, and the like.

The related composite resource allocation method comprises: UE and BS obtains the relation between resource allocation composite logic indication sequence and user allocated channel resource combination; UE obtains the user number contained in current transmitted resource allocation control signaling; BS sends control signaling including all allocated UE mark and logic indication sequence indicating resource allocation combination to UE; UE receives the control signaling, determines the resource combination for UE and serial number of other UE in this group UE ID number, and recognizes the allocated resource from BS. This invention reduces signaling loading and physical resource waste.

A controller associated with a domain includes a network interface; one or more processors communicatively coupled to the network interface; and memory storing instructions that, when executed, cause the one or more processors to communicate with one or more additional controllers via the network interface, wherein each of the one or more additional controllers is in one or more additional domains, and wherein each domain provides different characteristics, utilize at least part of a control pattern to obtain requirements for a service, and cause, utilizing any of a peer relationship and a hierarchical relationship with the one or more additional controllers, at least part of implementation of a composition of resources to meet the requirements for the service, wherein the composition defines the resources provided in each domain for the service, and wherein the composition is based on the requirements and the different characteristics in each domain.

The invention discloses a cloud logistics platform and a construction method, and belongs to the technical field of cloud logistics. The invention provides the cloud logistics platform and the construction method of the logistics platform, and the logistics platform comprises a platform system architecture, a big data processing center and a user layer. The construction method of the logistics platform comprises the following steps: S1, constructing a logistics task; S2, establishing a service resource library; S3, constructing a logistics task and cloud logistics service resource combinationmodel; S4, performing big data mining and logistics demand prediction; S5, performing logistics storage planning and joint inventory optimization; and S6, performing logistics transportation and terminal distribution optimization. Through the cloud logistics platform, the relationship between the logistics resource provider and the logistics demand can be well communicated. Sharing and on-demand using of logistics resources, logistics capacity and logistics knowledge are achieved, selection, communication and service matching are provided for enterprises and individuals with logistics demandsthrough a public cloud logistics service platform, and logistics services which are obtained by users at any time, serve on demand, safe, reliable, high in quality and low in price are achieved.

The invention discloses an artificial intelligence-based resource combination and optimization method and device and a storage medium. The method comprises the following steps of: carrying out training to obtain a reinforced learning thought-based strategy model; when a resource combination needs to be generated, respectively obtaining a resource score of each candidate resource; and selecting M candidate resources from the candidate resources according to the resource score of each candidate resource and the strategy model so as to form the resource combination, wherein M is a positive integer greater than 1. By applying the method, the gain of the resource combination can be enhanced.

For a method and system for managing concurrent access to multiple resources, resources are assigned to sets in such a way that it is safe to concurrently access any combination of resources in a resource set. For each resource set, a virtual machine is defined and associated with the resource set. An application is assigned to a virtual machine. When an application requests access to a resource not in the application's virtual machine, access control lists are consulted to determine whether the access should be allowed, given the other resources already accessed by the application.

Selecting a number of processors to run an application in order to save power is performed. A number of code segments are selected from an application. Each of the code segments are executed using two or more of a plurality of processing resource combinations. Each of the code segments are scored with a performance value. The performance value indicates a performance of each code segment using each of the two or more processing resource combinations. A selection is made of one of the two or more processing resource combinations based on an associated performance value and a number of processing resources used to execute the code segment. The application is then executed using the selected processing resource combination.

The invention discloses an SDN resource distribution method based on a two-sided market multihoming structure. The SDN resource distribution method based on the two-sided market multihoming structure comprises the steps that firstly, an SDN resource distribution frame is divided into a customer layer, a control layer and a retailer layer; secondly, after the customer layer receives application requests of different users, summarizes the application requests into a request information list and transmits the request information list to the control layer through a northbound interface; thirdly, the retailer layer transmits resource information to the control layer in real time through a southbound interface; fourthly, the control layer comprises a plurality of independent control platforms, each control platform receives the resource information from the retailer layer and sends the resource information and expense information of the control platforms to the customer layer, and the users in the customer layer carry out selection from the multiple control platforms according to the self needs; fifthly, each customer requires needed resources from the multiple control platforms, and carries out selection according to a resource cost-performance ratio provided by each control platform by using a resource combination strategy. The SDN resource distribution method based on the two-sided market multihoming structure meets the requirements for tasks of users, makes full use of network resources, and improves the reliability of the network.

The invention discloses a layered and distributed system structure and method for demand response resource combination optimization. The system structure comprises a load aggregation merchant, load agencies and demand response resources, wherein the load agencies are a set of demand response resource equivalents, obtain related information of demand response resources and transmit the control information issued by the load aggregation merchant to the demand response resources; all the load agencies interact the information issued by the load aggregation merchant and the information of other load agencies through a communication network. The method simplifies calculation complexity, facilitates management of the load aggregation merchant and provides possibility for a great number of small-and-medium-size demand response resources taking part in system scheduling; a consistency algorithm and the Dantzig-Wolfe decomposition theory are used for carrying out distributed calculation on the load adjustment amount assignment problem, and compared with centralized optimization, the layered and distributed system structure increases calculation speed and is adaptive to nondeterminacy of demand response resources.

The invention discloses a resource scheduling method in a forwarding and control separation network based on an economic model. The method comprises the following specific steps that 1, resource scheduling management is partitioned into a user layer, a resource agent layer, a middleware service layer and a resource providing layer; 2, the user layer receives submitted operation, decomposes an operation requirement into a task list, and transmits to the resource agent layer; 3, the resource agent layer receives the task list, determines a resource combination scheme needed by tasks, and submits to a scheduling strategy module; 4, the scheduling strategy module of the resource agent layer selects an optimal combination scheme, and transmits to the middleware service layer; 5, the middleware service layer fixes the prices of various resources in real time, and requests resources from the resource providing layer; 6, the resource providing layer determines a long-term resource price according to a resource use cost, and collects resource use charges. According to the method, the demands of a user on tasks are met; moreover, a DABP (Deadline and Budget Priority) algorithm is adopted, so that network resources are fully utilized, and the outward service performance of the network is enhanced.

The invention discloses a channel package packaging method and device and computer equipment. The method comprises the steps of receiving a channel package packaging request of target software; obtaining a software mother package of the target software and all channel information included in the channel package packaging request; calling a channel configuration file of a corresponding channel according to each piece of channel information; and performing resource combination on each channel configuration file and the software mother package through a plurality of coroutine parallel processingmodes to obtain a channel package of each channel corresponding to the target software. The invention further provides a computer readable storage medium. According to the invention, the plurality ofcoroutines are established in the thread to correspond to each channel, so that multi-channel parallel packaging is executed, and the flexibility and the efficiency of executing channel package packaging on the plurality of channels can be effectively improved.

The present invention relates to the field of provisioning of electronic computing resources via a network to a client, and in particular to a method for automatically selecting resources in for application environments consisting of a multitude of resources, wherein a resource managing component is provided for associating specific, selected resource combinations to the application environment, wherein a list of qualifying working combinations of the resource combinations is maintained. In order to improve provisioning, it is proposed to automatically generate combinations of resources, wherein respective search algorithms look for new resources within a pool of free resources, assemble a combination of resources which fulfil a set of predetermined rules, test such given new combination in multiple level preciseness, and define a fail over situation differently to prior art, namely by providing a new resource combination which was already tested for the exact business application and the exact business process for which it was designed.

The invention provides a communication computing joint resource allocation method and system in a time delay sensitive network, and the method comprises the steps: firstly, sorting the service priorities of time delay sensitive services based on a control quality requirement, wherein the services with stricter time delay requirements have higher service priorities; secondly, for each service, theresource allocation module in the time delay sensitive network gives available routing and time slot resources of the service based on the routing and time slot allocation condition in the current network; the calculation task scheduling module in edge computing gives available computing resources of the service based on the current computing resource use condition, and finally a route, time slotand calculation resource combination capable of meeting the time delay requirement is obtained. The end-to-end delay transmission quality requirements of delay sensitive services in the industrial Internet, especially the control quality requirements of industrial control services, can be ensured.

The invention provides a resource organization system and a resource query method applicable to a wireless mobile grid. The resource organization system is mainly divided into three levels including a local node internal resource information layer, a virtual fleet (VF) internal resource information layer and a whole network resource information layer between virtual fleets. When resource query is carried out, a local primary resource information high-speed cache is queried first, then a secondary resource information high-speed cache is selected and queried, and finally a local main-control command node sends inquiry requests to main-control command nodes of other VFs according to broadcast. According to the invention, the characteristics of a wireless communication system between wireless mobile grid nodes and the characteristics of resource utilization are fully utilized, the resource organization form is of a three-layer structure, and efficient resource organization and resource property query are achieved through a two-stage high-speed cache mechanism. Compared with the prior art, the invention greatly reduces the number of messages required by resource combination and query, and improves the efficiency of resource query and the anti-damage performance of resource organization and query.

The invention discloses a resource combination configuration method for large-scale unmanned aerial vehicle disaster rescue tasks. According to the method, on the premise that the capability constraint of the unmanned aerial vehicle for executing tasks and the constraint that the same unmanned aerial vehicle can only execute one task at the same time are considered, the unmanned aerial vehicle isallocated to each rescue task according to the resource requirement of the rescue task and the task execution effect of the unmanned aerial vehicle; according to the rule-based construction type resource combination configuration method provided by the invention, the problem of unbalanced resource combination configuration is avoided as much as possible while the sum target of all task completionrates is optimized and maximized, and an approximately optimal solution can be quickly generated, so that the real-time performance and the effectiveness of the method are ensured; the method providedby the invention can solve the problem of resource combination configuration under various conditions of different resources and task demand proportions, including resource configuration combinationunder three conditions that the cluster capability of the unmanned aerial vehicle is lower than, matched and exceeds disaster rescue task demands.

Embodiments of the invention disclose a resource combination provision method and apparatus, and relate to an internet information processing technology. The method comprises the steps of receiving a request for resource combinations; obtaining user features of a current user and resource information of a resource provider; according to the user features and the resource information, obtaining a providable resource combination set; and selecting one or more resource combinations from the resource combination set and providing the selected resource combinations for the user. When the user needs the resource combinations (such as set meal in a restaurant), the problem of configuration simply according to subjective experience during resource combination provision is avoided, so that the provided resource combinations can meet personalized demands of all users; different set meals can be provided for different users, so that the users no longer perform selection one by one by themselves; and therefore, the resource combination provision efficiency is improved, the selection cost of the users is reduced, the user time is saved, and the increase in order placing rate is remarkably facilitated.

The invention provides a cloud crowdsourcing platform mass service resource combination optimization method and system. The method comprises the following steps: establishing a cloud crowdsourcing platform, and executing resource combination global initial optimization in a cloud crowdsourcing platform data center according to a cloud crowdsourcing service resource combination optimization target;decomposing the cloud crowdsourcing service resource combination optimization target, and performing crowdsourcing service resource local optimization by each crowdsourcing community based on the initial global optimization; on the basis, synthesizing the optimization results of all the crowdsourcing communities, and obtaining an optimal cloud crowdsourcing resource combination optimization scheme through filtering. According to the method and system, wide social resources (crowdsourcing product development resources) are automatically matched in the cloud crowdsourcing platform, and the crowdsourcing requirements of complex product development of users are met. According to the technical scheme provided by the invention, effective mining of mass service resource combination schemes for crowdsourcing product development can be realized.

The invention discloses a resource searching method based on a VW system; as a relation is established for a VW system resource data in advance according to a device connection relation and a resource combination relation, when users search some resource information, all device connection information and resource combination information which are relevant to the resource information can be searched, thereby the device connection relation and the resource combination relation can be regulated according to search results. The invention also discloses a resource searching device based on the VW system which is corresponding to the method, and the purpose of the invention can be realized by combining the method and the device.