56 results about "Resource dependency" patented technology

Deployment of an application is managed using available resources from a resource system. A resource dependency characterization of the application is established to enable deployment of the application. A logical characterization and a network characterization of a desired deployment are also established. A deployment plan containing an outline for resources and configurations used for deployment is developed based on the resource dependency characterization, the logical characterization and the network characterization. The deployment plan is processed for correlation with the available resources. The processed deployment plan is then implemented.

Systems and methods of executing an application in an application specific runtime environment are disclosed. The application specific runtime environment is defined by an application environment specification to include a minimal or reduced set of software resources required for execution of the application. The application environment is generated by determining software resource dependencies and is optionally used to provision the application specific runtime environment in real-time in response to a request to execute the application. Use of the application specific runtime environment allows the application to be executed using fewer computing resources, e.g., memory. The application specific runtime environment is optionally disposed within a virtual machine. The virtual machine may be created in response to the request to run the executable application and the virtual machine may be automatically provisioned using an associated application environment specification.

A method for automated provisioning of computing resources in a distributed computing network includes obtaining a data structure representing a resource dependency characterization of an application to be implemented over the distributed computing network, wherein the data structure indicates a set of resources to be deployed, obtaining a template that represents a predefined network topology for supporting deployment of the set of resources, mapping the set of resources represented in the data structure to the template so as to satisfy a set of component requirements to generate a deployment map, and provisioning the set of resources on a plurality of computers based on the deployment map to implement the application over the distributed computing network.

Systems and methods of installing and provisioning an operating system are disclosed. The installing and provisioning of the operating system can be performed in multiple discrete, optional steps, utilizing a repository of various partially or fully defined operating system representations. The operating system representation is optionally generated by determining software resource dependencies and is optionally used to provision an operating system on a target platform in real-time in response to a request. In some embodiments, use of the operating system representation allows the operating system to be installed on the target platform more quickly. The operating system is optionally configured to support a virtual machine.

An improved solution for managing processes. In particular, resources are allocated to processes based on a determination of the available resources and an anticipated benefit for each process. The anticipated benefit can be derived from a current status of the process (e.g., lagging or accelerated) and/or benefit knowledge learned from past executions of the process using diverse resource sets. One or more additional attributes, such as resource dependency between processes, can also be considered before allocating resources.

A system and method for using event management root cause analysis to depict resource dependencies are provided. With the system and method, since the root cause analysis of known event management systems provides a mechanism for defining interactions of enterprise components for root cause analysis purposes, this information is used as a basis for obtaining enterprise component relationship information that may be used by other management applications. That is, the system and method monitor the application of correlation rules to event notifications from various enterprise components and determine relationships of the various enterprise components based on the results of the application of the correlation rules. These relationships may then be stored in a data structure representing the system environment and may be used by other management systems or displayed to the user in a graphical format that graphically represents the system environment.

A user state tracking and anomaly detector for multi-tenant SaaS applications operates in association with a log management solution, such as a SIEM. A given SaaS application has many user STATES, and the applications often have dependencies on one another that arise, for example, when a particular application makes a request (typically on behalf of a user) to take some action with respect to another application. The detector includes a mapper that maps the large number of user STATES to a reduced number of mapped states (e.g., “red” and “green”), and a dependency module that generates user-resource dependency graphs. Using a dependency graph, a SaaS modeler in the detector checks whether a particular dependency-based request associated with a SaaS application is valid. State and dependency information generated by the mapper and dependency module are reported back to the log management solution to facilitate improved logging and anomaly detection.

Systems and methods of executing an application in an application specific runtime environment are disclosed. The application specific runtime environment is defined by an application environment specification to include a minimal or reduced set of software resources required for execution of the application. The application environment is generated by determining software resource dependencies and is used to provision the application specific runtime environment in real-time in response to a request to execute the application. Use of the application specific runtime environment allows the application to be executed using fewer computing resources, e.g., memory.

The present disclosure describes methods and system configurations for failover of cluster computing system resources, for a cluster computing system including a plurality of cluster nodes. In some examples, operations are performed to monitor an abstracted resource and reconfigure the abstracted resource, to enable fail-over processing for component members of the abstracted resource. In further examples, a hierarchy of resource dependencies is defined to enable enhanced fail-over processing for the failure of abstracted resources that cause the failure of services within the cluster computing system that are dependent upon the abstracted resources.

The invention discloses a modulus-scheduling-based compiling method and device for realizing circular instruction scheduling. The method comprises the following steps which are executed by a compiler: reading and analyzing a source program to acquire control flow graph information; establishing data dependence restriction and resource dependence restriction of a loop body structure; and solving according to a back model in accordance with corresponding restriction regarding the data dependence conflict and/or resource conflict happening in detecting the instruction scheduling result in a process that the loop body structure executes the modulus scheduling. By adopting the method, data correlation of adjacent instructions in the loop body can be avoided, and the execution time of generating codes is reduced, so that the instruction-level parallelism can be effectively excavated, and the performance of a processor system even a computer system can be improved.

The invention discloses a cloud data center service monitoring system and method based on the resource dependency relationship, and belongs to the technical field of data center service management. Through the design method that resource layer layered definition, resource layer division and layer resource dependency correlation are conducted from top to bottom according to the resource dependency relationship, resource layer division and definition are conducted through a resource layer management module, service objects are generated through the combination of a service configuration management module and the dependency relation ship between resource layer properties and resources, resource layers in service are judged and analyzed layer by layer from bottom to top through a monitoring data processing module through the cooperation with a service data collecting module, the monitoring state and detailed monitoring conditions of the service are obtained, and therefore the service monitoring accuracy of a cloud data center is greatly improved, service monitoring false alarm and excessive alarm caused by service definition ambiguity are avoided, difficulty during service monitoring is effectively eliminated, and service monitoring complexity is lowered.

The invention relates to a thread performance prediction and control method of a CMT computer system, which is designed to solve the technical problems of accidental starvation and stagnation of threads, misuse of resources, priority inversion and so on in the existing CMT system. The method comprises guiding the distribution of key resources (RRF, rename register file) in the CMT system by using the performance-resources dependency relationship model to predict and control the thread performance; acquiring and adjusting the model parameters by thread sampling and online studying to real-timely track and accurately predict the thread performance; and calculating the number of the key resources desired for achieving the performance by use of a parameter determination model according to a set performance requirement, and re-adjusting the resource distribution. The method provided by the invention has the advantages: the model is simple and can accurately describe the dependency relationship between the performance and resources; the method has high adaptability to realize accurate performance prediction and control of all kinds of threads; the method supports two control modes of absolute performance and performance percentage; and the method is low in realization cost, is easy to realize on basis of the existing system structure and can realize ordered distribution of multi-threading chip resources and performance predictability and controllability.

The invention relates to a webmaster fault diagnosis method based on log data, and aims to solve the problems in speed and efficiency aspects of existing methods in engineering management. The method related by the invention comprises the steps of preliminarily designing a log file keyword format, carrying out data extraction subsequently in combination with keywords, simulating link data transmission of different network elements in combination with different IP addresses and flexibly controlling a transmission interval. If an exception is found, exceptional frames can be locked and recorded for result verification after problem solving; through simulating data frames, the manpower and equipment resource reliance is reduced, and the system fast troubleshooting as well as the fast verification and validation about whether a fault is eliminated is guaranteed; and thus, the engineering management efficiency and the service quality are improved.

A method, system and computer-usable medium are disclosed for managing resource capacity for the provision of cloud-based services. Application deployment and undeployment data is received, and then processed, to perform an update of a capacity-weighted graph to reflect a set of applications deployed in a cloud computing environment. The application deployment and undeployment data is then further processed to determine a set of resource dependencies associated with the set of deployed applications. Thereafter, monitoring operations are performed to monitor consumption of a set of services associated with the set of deployed applications. Further monitoring operations are then performed to monitor requests from the set of deployed applications to predict the need for the provision of a set of additional services for consumption at runtime.

The invention relates to the field of cloud computing technologies, in particular to a heat-based template management method. The method comprises steps as follows: a resource type which can be operated by a front-end user is defined by the user, a resource type DB table and a template DB table are defined, the user operates the user-defined resource type, finally, a template service generates a template according to the created user-defined resource type, and the template is saved. With the adoption of the provided method, the problems of excessive resources, complicated resource dependency, poor use experience and the like caused by the fact that heat resources are directly fed back to the front-end user can be solved.

A method is provided for monitoring a resource by utilizing proxy metrics provided by a dependent resource. A primary resource is recognized by a dependent resource, where the dependent resource is dependent upon certain capabilities of the primary resource. Metrics of the primary resource upon which the dependent resource needs are determined. Thresholds related to the metrics of the primary resource are determined. The dependent resource communicates the metrics and related thresholds to a central management tool. The metrics and related thresholds are monitored. Also, the dependent resource may act as a proxy for the primary resource, where the central management tool monitors the metrics and the related thresholds of the primary resource via the dependent resource.

A computing environment includes an originating system, a plurality of networked communication channels each configured to communicate one or more of a plurality of instructions for calling one or more downstream applications in response to calling of an originating application by the first system, and a resource dependency system for providing automatic resource dependency tracking and maintenance of resource fault propagation. The resource dependency system performs a query configured to identify any application calls performed in a predetermined period of time; for each identified application call, builds a corresponding transaction paragraph comprising a list of all sub-application calls performed in response to the application call; from each transaction paragraph, extracts a chronological sequence of sub-application calls found in the transaction paragraph; forms a tier pathway for each transaction paragraph; and stores each tier pathway in an accessible file.