61 results about "Resource specification" patented technology

Embodiments relate to systems and methods for embedding a cloud-based resource request in a specification language wrapper. In embodiments, a set of applications and / or a set of appliances can be registered to be instantiated in a cloud-based network. Each application or appliance can have an associated set of specified resources with which the user wishes to instantiate those objects. For example, a user may specify a maximum latency for input / output of the application or appliance, a geographic location of the supporting cloud resources, a processor throughput, or other resource specification to instantiate the desired object. According to embodiments, the set of requested resources can be embedded in a specification language wrapper, such as an XML object. The specification language wrapper can be transmitted to a marketplace to seek the response of available clouds which can support the application or appliance according to the specifications contained in the specification language wrapper.

A method, device and system of resource scheduling and management are provided so as to automatically realize resource applying, scheduling and releasing according to a resource computing task, which is submitted by a user through a scheduling and management platform. Provided is a method of resource scheduling and management. The method is characterized in comprising that: a scheduling and management platform receives a resource computing task sent from a client, wherein the resource computing task includes one or more subtasks; the scheduling and management platform determines resource attributes allocated to the resource computing task according to the resource computing task, wherein the resource attributes includes the amount of resources and resource specification attributes; the scheduling and management platform applies the determined resources meeting the resource attributes from a resource providing platform; the scheduling and management platform schedules the resource computing task to the applied resources so as to be implemented.

A personnel management method and system. The method includes receiving by a computing system, first data from a first resource in response to a first survey. The computing system receives second data in response to a second survey. The computing system analyzes the first data with respect to said second data. Based on the analyzing, the computing system generates a first resource specification report associated with a first resource and a project model. Based on the analyzing and the project model, the computing system generates a first project specification report.

A hardware resource identifier (19) recognizes hardware resource dependencies in a multi-channel communications system. Initially, system communications domains (D1-D4) in which system hardware resources are located are identified. Next, managed hardware resources, hardware resource groups and hardware resource group boundaries among the system hardware resources are identified. Association labels are then assigned to the system hardware resources to identify relationships, if any, between the system hardware resources and external hardware, to discern redundant resources within respective ones of the hardware resource groups, and to characterize dedicated coupling between individual ones of the system hardware resources. An abstract resource specification (78) is then interpreted to locate available system hardware resources, as organized into the system identified communications domains and the identified hardware resource groups, to enable maximum preservation of most functional and least available hardware resources during hardware resource allocation.

A technique for determining placement fitness for partitions under a hypervisor in a host computing system having non-uniform memory access (NUMA) nodes. In an embodiment, a partition resource specification is received from a partition score requester. The partition resource specification identifies a set of computing resources needed for a virtual machine partition to be created by a hypervisor in the host computing system. Resource availability within the NUMA nodes of the host computing system is assessed to determine possible partition placement options. A partition fitness score of a most suitable one of the partition placement options is calculated. The partition fitness score is reported to the partition score requester.

Systems and methods provide a processing task load and type adaptive manycore processor architecture, enabling flexible and efficient information processing. The architecture enables executing time variable sets of information processing tasks of differing types on their assigned processing cores of matching types. This involves: for successive core allocation periods (CAPs), selecting specific processing tasks for execution on the cores of the manycore processor for a next CAP based at least in part on core capacity demand expressions associated with the processing tasks hosted on the processor, assigning the selected tasks for execution at cores of the processor for the next CAP so as to maximize the number of processor cores whose assigned tasks for the present and next CAP are associated with same core type, and reconfiguring the cores so that a type of each core in said array matches a type of its assigned task on the next CAP.

A system for learning admission policy for optimizing quality of service of computer resources networks is provided herein. The system includes a statistical data extractor configured to extract historical data of deployment requests issued to an admission unit of a computer resources network. The system further includes a Markov decision process simulator configured to generate a simulation model based on the extracted historical data and resources specifications of the computer resources network, in terms of a Markov decision process. The system further includes a value function generator configured to determine a value function for deployment requests admissions. The system further includes a machine learning unit configured to train a classifier based on the simulation model and the value function, to yield an admission policy usable for processing incoming deployment requests.

A technique for determining placement fitness for partitions under a hypervisor in a host computing system having non-uniform memory access (NUMA) nodes. In an embodiment, a partition resource specification is received from a partition score requester. The partition resource specification identifies a set of computing resources needed for a virtual machine partition to be created by a hypervisor in the host computing system. Resource availability within the NUMA nodes of the host computing system is assessed to determine possible partition placement options. A partition fitness score of a most suitable one of the partition placement options is calculated. The partition fitness score is reported to the partition score requester.

A technique for determining placement fitness for partitions under a hypervisor in a host computing system having non-uniform memory access (NUMA) nodes. In an embodiment, a partition resource specification is received from a partition score requester. The partition resource specification identifies a set of computing resources needed for a virtual machine partition to be created by a hypervisor in the host computing system. Resource availability within the NUMA nodes of the host computing system is assessed to determine possible partition placement options. A partition fitness score of a most suitable one of the partition placement options is calculated. The partition fitness score is reported to the partition score requester.

A system for, and method of, reference-modeling a processor design. In one embodiment, the system includes: (1) an architecture database that contains specifications regarding the processor design that include: instruction set specifications, architectural resource specifications, pipeline specifications and connectivity specifications, (2) a simulation subsystem that draws selected portions of the specifications to simulate and test the processor design and (3) a documentation subsystem that draws other selected portions of the specifications to document and register-model the processor design, changes in the specifications being propagated to the architecture database.

The invention provides a virtual machine resource allocation system and method. The virtual machine resource allocation method comprises the steps of data acquisition comprising acquiring the utilization rate of specific resources of a virtual machine; calculation comprising calculating the average utilization rate of the specific resources of the virtual machine every other analysis circle and determining the resource level of the virtual machine according to the average utilization rate of the specific resources of the virtual machine; recommendation comprising obtaining a recommended resource specification according to the resource level of the virtual machine and sending the recommended resource specification to a client; allocation comprising reallocating resources for the virtual machine according to the recommended resource specification when the client accepts the recommended resource specification. According to the virtual machine resource allocation system and method, the recommended resource specification can be provided for a user according to the change of the utilization rate of the specific resources in the process of using of the client virtual machine.

A method, system, and computer program product are described for managing the provisioning of resources in a data processing system. There are different types of resources. Each resource is one of these types. Multiple provisioning states are defined for each type of resource. Relationships are defined among the provisioning states. The relationships describe valid transitions from one state to another. Workflows of one or more tasks are defined, varying to the resource implementation specifications, that are associated with each one of the valid transitions between states. When a resource is to transition from a current state, the relationships among states are used to determine a valid next state. The workflow specific to the resource specification and associated with this transition from the current state to the determined next state is then executed in order to transition to the next state.

A domain specification system for an LDAP ACI entry provides a system for specifying an ACI domain entry in an access control command line that controls access to a resource. The access control command specifies resources using a Universal Resource Locator (URL) format that contains the name of the resource. A target scope value specifies the scope of access to be granted to a user which can be limited to a single entry, a subtree, or a single level. A search filter is part of the resource specification. The ACI applies only to entries in the subtree rooted at the resource name that match the filter. A list of attributes is also contained in the resource specification and the ACI applies only to attributes in the resource that are named in the list. The access control command specifies the type of access to be granted to a user which includes, but is not limited to: deny, read, write, and any other privileges that the system supports. The access control command also specifies the required user attributes for access to a resource. The directory server matches the required attributes with the accessing user's attributes and grants the type of access listed only if the user has the required attributes.

The invention aims to provide a method and a device for calculating resources in a distributed system. The method comprises the steps of obtaining target tasks and one or more pieces of target resource information corresponding to the target tasks in the distributed system, wherein the target resource information includes resource specification information; scheduling the target tasks to corresponding target data nodes; and processing the target tasks in parallel according to one or more resource specification dimensions corresponding to the resource specification information by utilizing the target data nodes. Compared with the prior art, the target resource information can be quickly matched with resource calculation demands corresponding to an actual business based on the resource specification information corresponding to the target resource information; when the target tasks sent by the system are obtained, the target tasks are processed in parallel according to the resource specification dimensions corresponding to the resource specification information, so that the resource calculation response speed of the system is increased; and meanwhile, the resource specification information can reflect respective business values, so that the business extensibility is enhanced.

The invention discloses a service access management method and system in a container cloud environment. The method comprises the steps of obtaining a service mirror image required by the operation ofa service instance, compiling and uploading a yaml file containing required container resources, and converting the uploaded yaml file into container resources capable of being managed by a kubernetescontainer cloud platform by using a freemarker template engine. The invention provides a convenient access method for services accessed to the cloud management platform by using a kubernetes container arrangement technology, increasing service access requirements of the cloud management platform are met, the accessed new service does not need to be redeveloped, and it only needs to make the service mirror image and define the kubernetes yaml resource file. The service access management method supports user-defined resource specifications and user-defined service access modes, can effectivelyimprove the service access efficiency and enables the cloud management platform to possess an ability of quickly releasing new services.

The application discloses a charging method and system, relates to the communication technical field, and aims to charge a NFV business; the method comprises the following steps: receiving a NFV business request sent by a client end, wherein the NFV business request is used for applying the NFV business; determining a charging strategy according to the NFV business needed resource types and resource specifications; distributing the charging strategy to a MANO network element, thus allowing the MANO network element to charge the NFV business according to the charging strategy. The charging method and system are applied to the NFV business charging process.

An information processing device (central apparatus (2)) in a sensor network system is arranged so as to include an input-output processing section (101) for receiving an information request signal with which information is requested from the information processing device; an information converting section (103) and a resource specification information recognizing section (104) for dividing target information which is requested with the information request signal into a combination of information elements which appropriately compose the target information, and converting the information elements into resource specification information which specifies resources that can be information sources of the respective information elements; a data acquiring section (107) for acquiring data of sensing results obtained by one or more of the plurality of sensors that are selected in accordance with the resource specification information; and an input-output processing section (101) for outputting information based on the data acquired by said data acquiring section. With this, it is possible to effectively utilize a plurality of sensors in a sensor network including the plurality of sensors.

Embodiments relate to systems and methods for embedding a cloud-based resource request in a specification language wrapper. In embodiments, a set of applications and / or a set of appliances can be registered to be instantiated in a cloud-based network. Each application or appliance can have an associated set of specified resources with which the user wishes to instantiate those objects. For example, a user may specify a maximum latency for input / output of the application or appliance, a geographic location of the supporting cloud resources, a processor throughput, or other resource specification to instantiate the desired object. According to embodiments, the set of requested resources can be embedded in a specification language wrapper, such as an XML object. The specification language wrapper can be transmitted to a marketplace to seek the response of available clouds which can support the application or appliance according to the specifications contained in the specification language wrapper.

Embodiments of the present invention provide a cloud game resource configuration method, an electronic device, and a storage medium. The method comprises: acquiring cloud game package data and a cloudgame type corresponding to a to-be-released cloud game; based on the cloud game package data and the cloud game type, determining the initial resource specification of the cloud game; and configuringthe resource for the cloud game based on the initial resource specification. According to the method, the electronic device, and the storage medium provided by the embodiments of the present invention, the initial resource specification is determined based on the cloud game package data and the cloud game type during the releasing period, then resource configuration is performed, and initial resource configuration for the cloud game is realized; the matching degree of the cloud game resource configuration and the cloud game operation requirement is improved while improving flexibility of cloud game resource configuration; and the resource utilization of the cloud server side can be effectively improved, and the overall cost of the cloud server side can be reduced.

An information processing device (central apparatus (2)) in a sensor network system is arranged so as to include an input-output processing section (101); an information converting section (103) and a resource specification information recognizing section (104) for dividing target information which is requested with the information request signal into a combination of information elements which appropriately compose the target information; a data acquiring section (107) for acquiring data of sensing results; and an input-output processing section (101) for outputting information based on the data acquired by said data acquiring section.

The invention provides a method for distributing resources of a host machine, and a management server. The method comprises the steps of acquiring resource specifications of a plurality of virtual machines required by an application; ranking weights of the plurality of virtual machines according to a ranking rule and the resource specifications of the virtual machines; and applying for distributing the resources of the host machine according to the weights of the virtual machines in an order from big to small. According to the method and the device provided by the invention, the virtual machines required by the application are distributed after being ranked according to the weights in a unified manner, and thus the resource utilization rate of the host machine is greatly improved.

Systems and methods provide a processing task load and type adaptive manycore processor architecture, enabling flexible and efficient information processing. The architecture enables executing time variable sets of information processing tasks of differing types on their assigned processing cores of matching types. This involves: for successive core allocation periods (CAPs), selecting specific processing tasks for execution on the cores of the manycore processor for a next CAP based at least in part on core capacity demand expressions associated with the processing tasks hosted on the processor, assigning the selected tasks for execution at cores of the processor for the next CAP so as to maximize the number of processor cores whose assigned tasks for the present and next CAP are associated with same core type, and reconfiguring the cores so that a type of each core in said array matches a type of its assigned task on the next CAP.

The invention discloses a resource management method and device for a containerized virtual network function VNF. The method comprises the steps: in the process that a virtualized network function manager (VNFM) executes VNF instantiation, enabling VM resources of different resource specifications for instantiating the VNF by referring to VDUs of the VM resources in the VNFD; creating at least onecontainer node resource pool on an NFVI layer, and then sending the information of at least one container node resource pool to a container, namely a service manager, thereby achieving the seamless joint of the container node resource pool managed by the container, namely the service manager, and VM resources of the VNF. The container, namely a service manager, can create required container services for different components forming the VNF on container node resource pools of different resource specifications; container services serving different telecommunication network functions can be managed and arranged based on container node resource pools of different resource specifications, and the adaptive capacity of container node resources to the telecommunication network functions can be improved.

A method, system, and computer program product are described for managing the provisioning of resources in a data processing system. There are different types of resources. Each resource is one of these types. Multiple provisioning states are defined for each type of resource. Relationships are defined among the provisioning states. The relationships describe valid transitions from one state to another. Workflows of one or more tasks are defined, varying to the resource implementation specifications, that are associated with each one of the valid transitions between states. When a resource is to transition from a current state, the relationships among states are used to determine a valid next state. The workflow specific to the resource specification and associated with this transition from the current state to the determined next state is then executed in order to transition to the next state.

The invention discloses a resource normalization detection and optimization method, device and equipment and a storage medium. The method comprises the steps of obtaining a to-be-detected resources, determining a resource type and an application scene of the to-be-detected resource, determining a detection rule of the to-be-detected resource from a preset resource specification file based on the resource type and the applicable scene of the to-be-detected resource, performing standard detection on the to-be-detected resource based on the detection rule of the to-be-detected resource to obtaina standard detection result of the to-be-detected resource, determining to-be-optimized data in the to-be-detected resource based on the standard detection result, and performing resource optimizationon the to-be-optimized data. By means of the technical scheme, the situation that resources do not meet the standard requirements can be reduced, the game experience of players is improved, manual supervision of developers is not needed, the efficiency and reliability of resource normalization detection are improved, the burden of the developers is relieved, the fault tolerance of resource development is improved, and flexibility and convenience are achieved.

The invention discloses a method and device for creating a virtual machine, and belongs to the technical field of cloud computing, and the method specifically comprises the steps: obtaining a creationrequest which carries resource specification information specified by a user; acquiring target metadata based on the resource specification information; determining a virtual machine type based on the target metadata; aiming at the virtual machine type, selecting target hardware; and obtaining a configuration file matched with the target hardware, and creating a target virtual machine by utilizing the configuration file and the target hardware. According to the method, the suitable hardware is selected according to the creation request of the user, and the virtual machine required by the useris created in combination with the configuration file, so that the specificity of the hardware is ensured, and the technical effects of automatically creating the virtual machine and improving the utilization rate of corresponding hardware resources are achieved.

The invention discloses a management method and device for cloud host instance hardware acceleration equipment, equipment and a medium, and the method comprises: building a hardware acceleration resource group based on the resource specification of a cloud host instance when a target request of the cloud host instance for building the hardware acceleration equipment is received; selecting available hosts from the hosts under the control of the cloud platform according to the hardware acceleration resource group; judging whether hardware acceleration equipment on the available host meets the target request or not; and if so, binding the cloud host instance with hardware acceleration equipment of the available host, and starting and running the cloud host instance. Obviously, according to the method, the hardware acceleration equipment on the cloud host instance is managed by utilizing the cloud platform, therefore, compared with the prior art, through the arrangement mode, waste of human resources is avoided, the management process of the hardware acceleration equipment is simplified, and then the convenience in the management process of the hardware acceleration equipment on the cloud host instance can be remarkably improved.

The invention relates to a computing task processing method and device, computer equipment and a storage medium. The method comprises the steps of receiving a task running request, wherein the task running request comprises a user application resource specification and a task identifier of a computing task corresponding to the task running request; obtaining a current operation environment type, and obtaining an environment resource specification corresponding to the current operation environment according to the current operation environment type; determining a target resource specification according to the user application resource specification and the environment resource specification, and creating a service-free container through an interface provided by a current running environmentaccording to the target resource specification, the service-free container carrying a task identifier of a computing task corresponding to the task running request; and executing a calculation task corresponding to the task running request by utilizing the service-free container, and exiting the service-free container after the execution of the calculation task is finished. The method improves the calculation efficiency.

The invention relates to a database resource management method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: receiving a resource subscription request, wherein the resource subscription request carries resource subscription parameter information; in response to the resource subscription request, distributing a target database instance to the resource subscriber, the target database instance being a database instance created to meet a database cluster resource supervision condition; and adjusting the target database instance into a database instance meeting the resource specification and cluster information in the resource subscription parameter information, and classifying the adjusted target database instance into a resource group of the resource subscribing party, so that the resource subscribing party performs application of database resources. By adopting the method, the user resource application time is shortened, and the resource allocation efficiency is improved.