4551 results about "Resource scheduling" patented technology

Embodiments of the invention are concerned with scheduling resources to perform tasks requiring a plurality of capabilities or capabilities and capacities, and has particular application to highly changeable or uncertain environments in which the status and the composition of tasks and / or resources changes frequently. Embodiments provide a method for use in a scheduling process for scheduling allocation of resources to a task, each resource having a plurality of attributes, wherein the task has one or more operational constraints including a required plurality of capabilities, and a performance condition associated therewith. The method comprises: receiving data indicative of a change to the status of the scheduling process; in response to receipt of the status data, reviewing the attributes of individual resources so as to identify combinations of resources able to collectively satisfy said capability requirements of the task; evaluating each identified combination of resources in accordance with a performance algorithm so as to identify an associated performance cost; selecting a combination of resources whose identified performance cost meets the performance condition; and scheduling said task on the basis of said selected combination of resources. In embodiments of this aspect of the invention, changes to resource configurations are effected as part of the scheduling process. These changes can be made dynamically, in response to the occurrence of events that have a bearing on the scheduling process, and involve aggregating resources together so as to create, essentially, a new resource pool from which selection can be made.

The present invention allocates the supply of critical components and manufacturing capacity by optimizing critical material planning decisions and dynamically allocating constrained materials using advanced substitution logic that considers alternate suppliers and supports product life cycle from design through end-of-life. The present invention may utilize unique synchronized allocations and matched sets logic. The synchronized allocations ensure that all materials necessary for production are available in the appropriate time-phased allocation before beginning production to minimize wasted production capacity and materials. The supply system may include various combination of components, including a Supply Planner, a Resource Optimizer, a Constraint Based Master Planner, a Product Change Analyzer, a Comparer, a Resource Requirements Planner, a Finite Resource Planner, a Customer Promiser, and an Interactive Master Scheduler. Another embodiment of the supply system includes a tool that allows users to define products using engineering specifications.

The demand aggregation system includes buyer sponsored DealRooms, seller sponsored DealRooms, and multiple buyer and multiple seller sponsored DealRooms. Moreover, the demand aggregation system includes a customer relations management (CRM) package. In the CRM package, information on buyer and prospective buyers are loaded into a database that can include information such as: individual name; company name and address; email address; phone number; cell number; products purchased; volumes; time of purchase. Further the CRM package can be integrated with the demand aggregation system as well as a customer resource planning system (e.g., MRP, ERP).

The present disclosure provides for distributed resource scheduling performed by an advanced resource scheduling (ARS) module implemented on a distributed grid management (DGM) server in a power system. The ARS module is configured to automatically generate a resource schedule for controllable distributed energy resources (e.g., resources that are remotely controllable by DGM server and ARS module) in a distribution network of the power system, such as power generation resources and energy storage resources, to provide power in a cost-effective (e.g., optimal) manner. The ARS module is configured to take into account the operating limits of the distributed energy resources (DERs), the cost curves of the DERs, the system load demand, and other operating constraints to determine the most economical operating plan for the DERs, using an optimization technique such as the particle swarm optimization (PSO) algorithm.

The invention relates to a cloud computing resource scheduling method based on dynamic reconfiguration virtual resources. The method comprises the steps of: using cloud application load information collected by a cloud application monitor as a basis; making a dynamic decision based on the load capacity of the virtual resources for running cloud application and the current load of the cloud application; and dynamically reconfiguring virtual resources for cloud application based on the decision result. Dynamic adjustment of resources is realized by a method for reconfiguring virtual resources for cloud application, without needing dynamic redistribution of physical resources or stopping executing cloud application. The method can dynamically reconfigure the virtual resources according to the load variation of the cloud application, optimize allocation of the cloud computing resources, realize effective use of the cloud computing resources, and meet the requirements on dynamic scalability of cloud application. In addition, the method can avoid waste of the cloud computing resources, and save the cost for using resources for cloud application users.

The present invention relates to a master resource planning systems and related methods for optimizing resource plans across multiple networks. In particular, the present invention optimizes constrained resources across multiple networks and produces an optimized plan to allocate and coordinate the obtaining, shipping and procurement of limited resources based upon user-defined strategies and supplier / shipper preferences Aspects of the disclosure include creating planning data and planning rules. Planning data contains information regarding constrained resources in the multiple networks. Planning rules are based on user-defined strategies. Additional aspects include generating a plan based on the planning data and the planning rules and revising the plan in real-time. The generated plan optimally allocates the constrained resources according to the user-defined strategies. Certain embodiments disclosed herein employ pegging strategies for handling over and under availability of demanded resources among a variety of competing orders. Other certain embodiments disclosed herein optimize the procurement of resources needed to fulfill orders in part by taking into account limitations in shipping lag times, established transportation schedules, and carrier preferences.

Embodiments of the invention are concerned with allocating resources to tasks and have particular application to situations where the availability of resources and the tasks to be performed change dynamically and the resources are mobile.When dealing with a mobile resource such as a field technician, typically a series of tasks, known for example as a “tour” of tasks, is allocated to the resource. A known factor in scheduling tasks in a tour is travel time between tasks, and as a result the geographical position of the tasks can be a factor in building a tour. If a resource reports in and the scheduling system adjusts the provisional schedule, for example by adding one or more tasks to a tour, those tasks will be chosen at least in part with regard to the geographical location of the resource and that of existing tasks in the tour. This assessment is conventionally performed on the basis of the coordinates of the task completed by the resource (which are fixed), and is adequate when the resource is physically present at the task location when he reports in. However, in practice, a resource may not be at the expected geographical location of the last task dealt with. For example, a telephone technician may go back to the telephone exchange before reporting in; in such a situation, any decisions as regards adjustment of the schedule may be based on inaccurate data and result in a degenerative modification to the schedule.Embodiments of the invention utilise a selection criterion that enables actual location data to be used for scheduling of future work: this selection criterion is associated with the status of the resource in relation to progress with a given task, and can most appropriately be identified on the basis of whether or not the resource has completed a task. An advantage of basing the use of actual location data on this criterion is that the state of the resource is relatively stable in relation to various anchor points in the schedule when a task has been completed. As a result a point that is known with some confidence in the schedule can be mapped to the present location of the resource.

The invention discloses a method for performing terminal operation configuration at a network side and a network side device. The method comprises the steps of: obtaining data transmission quantity-related information of a terminal, and confirming the data transmission quantity of the terminal according to the data transmission quantity-related information of the terminal; confirming a protocol configuration and / or a resource scheduling strategy of the terminal according to the data transmission quantity of the terminal; and performing the terminal operation configuration according to the confirmed protocol configuration and / or resources scheduling strategy of the terminal. For the small-data quantity terminal, the invalid signaling overhead can be reduced, and the transmission reliability of the small-quantity data can be improved.

Provided are a system and a method for data retrieval which identify from requested data retrieval operations those operations which require a particular processing task to be performed, and then separate those operations from operations not requiring the processing task. The separated sets of tasks are queued separately for independent processing. This enables resource scheduling to be performed which avoids the operations which do not require performance of the task from having to wait for the operations which do require the task. This is an advantage where the task is a processor-intensive task such as digital watermarking of images.A particular resource allocation method includes enqueuing the set of operations requiring the processing task in a circularly linked list and then employing a scheduler to implement a round-robin allocation of resources for each of the system users in turn.Also provided is a pre-fetch policy whereby sets of data objects are retrieved from a data repository for processing in response to data retrieval requests and post-retrieval processing such as watermarking is initiated before an individual data object in the set has been selected.

The invention discloses a method for acquiring channel state information, a base station and user equipment. In the invention, CoMP (Coordinated Multi-Point) user equipment can adopt an SRS (Sounding Reference Signal) mode based on a service cell or an SRS mode based on CoMP. The base station detects uplink SRS transmitted by the user equipment and acquires the channel state information according to the detected SRS. Then, the base station performs resource scheduling together with other base stations on the basis of the channel state information required by the resource allocation, exchanges scheduling information and / or data required to be transmitted cooperatively after joint resource scheduling with other base stations and carries out the transmitting mode selection, power allocation and transmitter optimization together with the other base stations. Finally, the base station transmits data and / or signaling to the user equipment. The invention has the characteristics of simple structure, completion and high efficiency and is easy for realization.

The invention discloses a large-scale container scheduling system and method based on a cloud platform. The system comprises a control node for receiving and analyzing a request sent from a client and then sending the analyzed request to the cloud platform; the cloud platform for managing the container and creating underlying resource used by the container, and providing the virtual resource of the underlying cloud platform for the container. The method comprises the following steps: acquiring a sending request of the client; forwarding the request by the container resource scheduling module; forwarding the request through an API gateway of the control node and creating a container cluster; forwarding the request through an application cluster API gateway; sending an instruction to a proxy through a scheduler; executing the instruction by the proxy; and constructing a container set through a container engine, and realizing the elastic telescopic through a transcript controller; creating a corresponding server and port; and dynamically adjusting in running. The system disclosed by the invention not only can manage the container, but also can automatically provide the virtual resource of the underlying cloud platform.

The invention discloses a virtualized resource scheduling method and a system. A request from an external management user is received, or a scheduling request is triggered according to a preset strategy; according to the resource requirement information of a virtual machine and a physical server in the current system, a virtualized resource scheduling scheme is calculated and obtained; according to physical server resource flowing information contained in the received resource scheduling scheme, the resource of the relevant physical server is scheduled; according to the volume information contained in the virtualized resource scheduling scheme, the resource channel of the volume is built with the corresponding physical server; and scheduling resource is obtained from a mapping physical server to provide scheduled virtual resource for an external business entity. According to the virtualized resource scheduling method and the system, the resource scheduling efficiency can be improved, and the resource can be optimally scheduled in the whole situation.

Resource utilization in a computer is achieved by running a first process to make a reservation for access to a resource in dependence on a resource requirement communication from an application and running a second process to grant requests for access to that resource from that application in dependence on the reservation. A further process provides a common interface between the first process for each resource and the application. The further process converts high-level abstract resource requirement definitions into formats applicable to the first process for the resource in question. The processes are preferably implemented as methods of software objects.

A method for meeting room scheduling includes receiving a specification for a meeting, including a list of attendees, and determining respective physical locations for each of the attendees. One or more optimal locations in which to have the meeting is found by calculating which ones of the physical locations has a highest concentration of attendees located there. An optimal room at each of the one or more optimal locations is found by selecting a room that is within a smallest average proximity to a highest number of attendees. The optimal room at each of the one or more optimal locations is then scheduled for the meeting.

A system for real-time resource scheduling comprising a hosted line-of-business software application for service providers operating in various industry verticals; a central data center; an in-store web-based calendar for service provider employees; a web-based calendar for service provider customers; and a mobile customer scheduling interface; wherein the central data center comprises a data store that comprises a master database and a plurality of service provider chain databases; the master database contains metadata of all service provider chain databases housed in the data store; the master database contains user accounts for customers who make reservations with any of the service providers; each service provider has a service provider chain database that is specific to that service provider; each service provider creates and maintains all resource scheduling information for its own human and non-human resources; and no data is shared between service providers.

The invention provides a cluster GPU resource scheduling system. The system comprises a cluster initialization module, a GPU master node, and a plurality of GPU child nodes, wherein the cluster initialization module is used for initializing the GPU master node and the plurality of GPU child nodes; the GPU master node is used for receiving a task inputted by a user, dividing the task into a plurality of sub-tasks, and allocating the plurality of sub-tasks to the plurality of GPU child nodes by scheduling the plurality of GPU child nodes; and the GPU child nodes are used for executing the sub-tasks and returning the task execution result to the GPU master node. The cluster GPU resource scheduling system and method provided by the invention can fully utilize the GPU resources so as to execute a plurality of computation tasks in parallel. In addition, the method can also achieve plug and play function of each child node GPU in the cluster.

Provided is a user autonomous routing customization system based on a software-defined network. The system comprises a network topology information detection module, a network performance detection module, a network resource integration module, a network resource presenting module, a network key point extraction module, a user key point selection module, a route computation module and a user interaction interface module. Also provided is a user autonomous routing customization method based on the software-defined network. The method comprises the following operation steps that (2) a user logs in a system and views current network resource information; (2) the system recommends candidate routing schemes to the user; (3) the user selects one routing; and (4) strategy customization and resource scheduling are performed on a physical network by the system so that customized control of the network is actively performed by the user. An objective that the user autonomously selects the customized routing schemes is realized by the system and method.

Provided are a resource scheduling method and device; the method comprises: scheduling resource according to the transmission demands; and configuring a frame structure with a non-fixed frame length matching the scheduled resource. The method according to the present invention prevents wastage of wireless resources caused by competition conflict or random back-off, and can better adapt to the demands of different kinds of data services with varied features in the future.

The demand aggregation system includes buyer sponsored DealRooms, seller sponsored DealRooms, and multiple buyer and multiple seller sponsored DealRooms. Moreover, the demand aggregation system includes a customer relations management (CRM) package. In the CRM package, information on buyer and prospective buyers are loaded into a database that can include information such as: individual name; company name and address; email address; phone number; cell number; products purchased; volumes; time of purchase. Further the CRM package can be integrated with the demand aggregation system as well as a customer resource planning system (e.g., MRP, ERP).

An embodiment of the invention discloses a resource scheduling method and system, a terminal and an eNB (base station). The method comprises steps as follows: receiving remote UE (user terminal) sidelink BSRs (buffer state reports) sent by remote UEs, adding identification information of the remote UEs to the remote UE sidelink BSRs, sending the remote UE sidelink BSRs to the eNB, and forwarding sidelink resources distributed to the remote UEs by the base station according to the remote UE sidelink BSRs to the remote UEs. Accordingly, the sidelink resources are distributed to the remote UEs by the eNB through relay UEs, that is, D2D (device-to-device) communication between the remote UEs and a UE group beyond a network coverage range can be realized.

The embodiment of the invention discloses a method of controlling V2X service transmission. The method comprises steps: transmission index parameters for transmitting a V2X service by a terminal are acquired; transmission protocols are selected according to the transmission index parameters, wherein the transmission protocols comprise a transmission protocol based on D2D discovery technology and a transmission protocol based on D2D communication technology; according to the transmission index parameters and the transmission protocols, a resource scheduling model is determined or a resource scheduling model allocated by a base station is received so as to enable the terminal to complete V2X service transmission according to the transmission protocols and the resource scheduling model, wherein the resource scheduling model comprises a base station scheduling model and a resource pool model. The embodiment of the invention also discloses a device for controlling V2X service transmission. By adopting the method and the device of the invention, a transmission mode for different V2X services can be reasonably allocated, and transmission needs of different V2X services can be met.

The invention discloses a virtualized infrastructure platform for cloud data centers, which comprises a cloud management server, a cloud resource control server and a cloud security server, the whole life cycles of various computational resources of a cloud platform are monitored and managed by the cloud management server, the various resources of the physical layer of the cloud platform are scheduled, controlled and managed by the cloud resource control server, and the cloud security server is used for establishing a cloud computation security control system in a private cloud and a secure interaction system for the private cloud and a public cloud; the cloud management server is integrated with the cloud resource control server through REST interfaces, and the cloud security server is respectively connected with the cloud management server and the cloud resource control server. The virtualized infrastructure platform for cloud data centers can realize security gateway-based unified remote virtual machine control and management, providing administrators with a unified access entrance for the management of virtual resources, and moreover, by means of directory service, the virtualized infrastructure platform for cloud data centers checks the validity of user identities; and a user can use the Python language to extend the resource scheduling control function.

The invention provides a multidimensional resource scheduling system and method for a cloud environment data center, belonging to the field of cloud computing. The system provided by the invention comprises a user application request submitting module, a resource status acquiring module, a resource scheduling module, an application request priority queuing module and a virtualized physical resource pool. The method provided by the invention comprises the following steps of: firstly detecting the status information of multidimensional resources in the virtualized physical resource pool and a current application request set in the user application request submitting module, which are acquired by the resource status acquiring module; then defining an application request priority queue which is suitable for the status balanced consumption of the current multidimensional resources in the virtualized physical resource pool by using a multiple-attribute-decision-making application priority scheduling algorithm; and finally submitting the application request which has the highest priority and meets resource constraints to the cloud environment data center for execution.

The disclosed wireless resource scheduling method for grouping business based on QoS comprises: determining business PRI for resource scheduling; to different type user, allocating resource for user with average data rate less GBR; calculating PRI for every user according to current rate, average rate and overtime threshold or based on buffer ratio, and allocating resource as user PRI. This invention allocates resource more flexibly, and can adapt resource management in future.

The present invention discloses a method for a signaling configuration of a sounding reference signal. The method includes: a base station notifying a user equipment to aperiodically send the sounding reference signal, and sending configuration information of aperiodically sending the sounding reference signal (SRS) down to the user equipment. The present invention also discloses a base station for a signaling configuration of a sounding reference signal and a user equipment for a signaling configuration of a sounding reference signal. The present invention can realize that the user equipment aperiodically sends the SRS, which improves the utilization ratio of SRS resources and increases the flexibility of resource scheduling.

The invention discloses a cloud mining network public opinion monitoring system based on a characteristic model, which comprises a cloud computing resource pool, a system monitoring and load measuring portion, a cloud computing resource scheduling service portion, a multi-platform public opinion publishing service portion and a user interactive interface. User interfaces corresponding to different public opinion publishing modes are created, and each interface realizes user registration and login, public opinion monitoring configuration and management and public opinion transmitting functions, is used by a user to realize authorized access and check the latest public opinion information and realizes personalized configuration of public opinion monitoring. The system has the advantages of high running efficiency and low cost, and is applicable to the technical field of electronic information.

The system and method of the present invention provides automatic tools and visual hints to a meeting host who is scheduling a meeting to book meeting related resources more efficiently by utilizing pre provided profile information and additional meta data from meeting confirmations. When host schedules a meeting, he selects the location information and checks the “visual” flag if needed. Any point in time, each attendee fills in user profile information. Upon accepting invitation, each attendee fills in the type of attendance field. Each attendee, after accepting invite, can change the type of participation by going to the calendar system and changing his settings. The change will be sent to the server to update the scheduled meeting object. A reservation system that is connected to the scheduling system would then collect information about the meeting type and required resource allocated and make the necessary bookings accordingly. The auto assigned resources can include (but are not limited to):conference room—if invitees plan to attend in-personconference room with projector—if invitees plan to attend in-person and visual information to be presentdial in conference call number—if remote invitees attending the meetingonline meeting—if remote invitees attending the meeting, if meeting scheduled with visual information to be present.

The invention provides a method and system for dynamic scheduling of virtual resources in a cloud computing network, the system comprises a cloud control server, a resource monitoring server, a resource scheduling server, at least one cluster controller and at least one node controller, and the method comprises: the resource monitoring server collects running information and sends the running information to the cloud control server; the node controller in which a virtual machine is positioned sends a real-time migration request to the cloud control server when achieving virtual resource bottleneck; the cloud control server sends the running information to the resource scheduling server; and the resource scheduling server searches the node controller with sufficient scheduling resources in the running information for performing real-time migration. The dynamic scheduling of the virtual resources is realized by adopting the real-time migration method, load balancing is dynamically realized, and the virtual resources in a cloud are utilized with high efficiency through the high-efficient load balancing.

Embodiments of the present invention disclose a resource scheduling method, a radio access device, and a communications system. In a solution provided in an embodiment of the present invention, a radio access device first measures an interference parameter value corresponding to each uplink resource block of a first communications system; when a first terminal accessing the first communications system needs to transmit uplink data, measures a channel condition parameter value of an uplink channel of the first terminal; if a current channel condition of the uplink channel of the first terminal is relatively good, allocates an uplink resource block, whose interference parameter value is greater than a first interference threshold, of the first communications system to the first terminal; and if relatively poor, allocates an uplink resource block, whose interference parameter value is less than the first interference threshold, of the first communications system to the first terminal.

A method of managing an allocation of a plurality of resources of a computer system adapted to support a plurality of processes includes a step of selecting one of a plurality of policy modules to query according to a master policy, each policy module being associated with and managing an allocation of resources required by one or more of the plurality of processes. A query may then be issued to the selected policy module. Responsive to the issued query, a request for allocation of one of the plurality of resources may be received. A resource allocation order specifying the requested one of the plurality of resources may then be issued to a dispatcher, the dispatcher being configured to bind selected resources to selected processes. The resource allocation order may then be executed, the executing step being effective to bind the requested one of the plurality of resources to the process or processes associated with the selected policy module.