34 results about "Workload management system" patented technology

The system and method for controlling cloud and virtualized data centers described herein may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads, and further to creating cloud images having embedded management agents and identity services for validating the cloud images prior to deployment into the cloud and virtualized data centers and controlling, monitoring, and auditing activity associated with the cloud images following deployment into the cloud and virtualized data centers.

The system and method described herein for discovery enrichment in an intelligent workload management system may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads. In particular, the management threads may converge information for managing identities and access credentials, which may provide information that can enrich discovery of physical and virtual infrastructure resources. For example, a discovery engine may reference federated identity information stored in an identity vault and enrich a discovered infrastructure model with the federated identity information. Thus, the model may generally include information describing physical and virtualized resources in the infrastructure, applications and services running in the infrastructure, and information derived from the federated identity information that describes dependencies between the physical resources, the virtualized resources, the applications, and the services.

The system and method described herein for providing annotated service blueprints in an intelligent workload management system may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads. In particular, the management threads may converge information for creating annotated service blueprints to provision and manage tessellated services distributed within an information technology infrastructure. For example, in response to a request to provision a service, a service blueprint describing one or more virtual machines may be created. The service blueprint may then be annotated to apply various parameters to the virtual machines, and the annotated service blueprint may then be instantiated to orchestrate the virtual machines with the one or more parameters and deploy the orchestrated virtual machines on information technology resources allocated to host the requested service, thereby provisioning the requested service.

The system and method described herein for managing information technology models in an intelligent workload management system may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads. In particular, the management threads may converge information for managing planned changes and recovery processes for version-controlled snapshots of the information technology models. For example, a discovery engine may enrich models of an infrastructure with identity information obtained from an identity vault and the infrastructure itself, and a management infrastructure may then manage planned changes to the infrastructure model. In particular, the management infrastructure may construct implementation plans that coordinate interaction between managed entities to implement the planned changes, and may further detect drifts between operational states and planned states for the infrastructure models.

The system and method described herein for recording collaborative information technology processes in an intelligent workload management system may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads. In particular, the management threads may include one or more data structures that converge information describing interaction between managed entities and content that may relate to such interaction in time-ordered series of events. The time-ordered event stream may then be replayed in a real-time stream to remediate, roll back, or otherwise analyze the collaborative information technology processes.

The system and method described herein for providing annotated service blueprints in an intelligent workload management system may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads. In particular, the management threads may converge information for creating annotated service blueprints to provision and manage tessellated services distributed within an information technology infrastructure. For example, in response to a request to provision a service, a service blueprint describing one or more virtual machines may be created. The service blueprint may then be annotated to apply various parameters to the virtual machines, and the annotated service blueprint may then be instantiated to orchestrate the virtual machines with the one or more parameters and deploy the orchestrated virtual machines on information technology resources allocated to host the requested service, thereby provisioning the requested service.

The system and method described herein for providing scorecards to visualize services in an intelligent workload management system may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads. In particular, the management threads may converge information for describing services, applications, workloads, in an information technology infrastructure. For example, a discovery engine may reference an identity vault to capture enriched models of an infrastructure, and a management infrastructure may then generate one or more scorecards that can be used to manage the infrastructure. In particular, the scorecards may provide information for tuning or otherwise controlling risk, complexity, cost, availability, and agility versus rigidness in the infrastructure.

A workload management system where processes associated with a class have resource management strategies that are specific to that class is provided. The system includes more than one class, with at least one unique algorithm for executing a workload associated with each class. Each algorithm may comprise a strategy for executing a workload that is specific to that class and the algorithms of one class may be completely unrelated to the algorithms of another class. The workload management system allows workloads with different attributes to use system resources in ways that best benefit a workload, while maximizing usage of the system's resources and with minimized degradation to other workloads running concurrently.

The system and method for providing load balancer visibility in an intelligent workload management system described herein may expand a role or function associated with a load balancer beyond handling incoming and outgoing data center traffic into supporting governance, risk, and compliance concerns that may be managed in an intelligent workload management system. In particular, the load balancer may establish external connections with destination resources in response to client devices establishing internal connections with the load balancer and then attach connection tracers to monitor the internal connections and the external connections. The connection tracers may then detect incoming traffic and outgoing traffic that the internal and external connections pass through the load balancer, and traffic tracers may collect data from the incoming traffic and the outgoing traffic, which the workload management system may use to manage the data center.

An enterprise data warehouse or business intelligence system having a plurality of processors and memory resources. The system includes at least a database server, a workload management system, a query compiler, and a query executor. The database server configured to receive a database query from an application at a database client system. The query compiler configured to prepare the execution plan for the query and compute the number of executive server processes (ESPs) in each ESP layer of the query. The workload management system is configured to generate an affinity value, and the query executor is configured to execute the query. As disclosed herein, placement of the executive server process layers of the query onto processors of the computing system is determined using the affinity value. Other embodiments, aspects and features are also disclosed.

The system and method for determining fuzzy cause and effect relationships in an intelligent workload management system described herein may combine potential causes and effects captured from various different sources associated with an information technology infrastructure with substantially instantaneous feedback mechanisms and other knowledge sources. As such, fuzzy correlation logic may then be applied to the combined information to determine potential cause and effect relationships and thereby diagnose problems and otherwise manage interactions that occur in the infrastructure. For example, information describing potential causes and potential effects associated with an operational state of the infrastructure may be captured and combined, and any patterns among the information that describes the multiple potential causes and effects may then be identified. As such, fuzzy logic may the be applied to any such patterns to determine possible relationships among the potential causes and the potential effects associated with the infrastructure operational state.

A dynamic workload management system enables system administrators to easily identify installed applications and to assign them to affinity groupings in order of importance to the enterprise and to enable the system administrators to save and restore multiple configurations. The workload configuration is continually updated based on the hardware utilization measurements of the application groups that make up a workload configuration. The software interface of the system of the invention permits the system to dynamically add and remove processors to and from affinity masks that are automatically set up. This feature of the invention allows the application groups to consume CPU resources according to their priority.

A trouble ticket monitoring system includes an Internet enabled and Web-based graphical user interface (GUI) to trouble ticket workload management systems such as legacy WFAC, WFADO, and WFADI systems. A dashboard application implements the GUI to essentially enable everything that can be done on WFA systems to be able to be done using the GUI. The dashboard application interacts with legacy WFA systems for both trouble ticket reporting and interactive trouble ticket functions while presenting a simple user interface. Point and click functionality provided by the dashboard application for users allows for reporting or maintenance functions to be performed with a minium of typing or knowledge of the WFA systems. The dashboard application is a server based rather than client based approach to trouble ticketing generation and monitoring. The dashboard application combines reports and queries from the WFA systems to present an overview of all maintenance operations in one location.

A dynamic workload management system enables system administrators to easily identify installed applications and to assign them to affinity groupings in order of importance to the enterprise and to enable the system administrators to save and restore multiple configurations. The workload configuration is continually updated based on the hardware utilization measurements of the application groups that make up a workload configuration. The software interface of the system of the invention permits the system to dynamically add and remove processors to and from affinity masks that are automatically set up. This feature of the invention allows the application groups to consume CPU resources according to their priority.

Systems and methods are provided for resource adaptive workload management. In a method thereof, at least one execution objective is received for at least one of a plurality of queries under execution. A progress status of, and an amount of resource consumed by, each of the plurality of queries are monitored. A remaining resource requirement for each of the plurality of queries is estimated, based on the progress status of, and the amount of resource consumed by, each of the plurality of queries. Resource allocation is adjusted based on the at least one execution objective and the estimates of the remaining resource requirements.

The system and method for determining fuzzy cause and effect relationships in an intelligent workload management system described herein may combine potential causes and effects captured from various different sources associated with an information technology infrastructure with substantially instantaneous feedback mechanisms and other knowledge sources. As such, fuzzy correlation logic may then be applied to the combined information to determine potential cause and effect relationships and thereby diagnose problems and otherwise manage interactions that occur in the infrastructure. For example, information describing potential causes and potential effects associated with an operational state of the infrastructure may be captured and combined, and any patterns among the information that describes the multiple potential causes and effects may then be identified. As such, fuzzy logic may the be applied to any such patterns to determine possible relationships among the potential causes and the potential effects associated with the infrastructure operational state.

A system and method are provided for facilitating workload management. The system processes first sensor data to estimate the current cognitive state of a first person, and processes second sensor data to estimate the current cognitive state of a second person. Information representative of the estimates of the current cognitive states of the first person and the second person is simultaneously rendered on a display device.

Systems and methods are provided for resource adaptive workload management. In a method thereof, at least one execution objective is received for at least one of a plurality of queries under execution. A progress status of, and an amount of resource consumed by, each of the plurality of queries are monitored. A remaining resource requirement for each of the plurality of queries is estimated, based on the progress status of, and the amount of resource consumed by, each of the plurality of queries. Resource allocation is adjusted based on the at least one execution objective and the estimates of the remaining resource requirements.

A multi-partition computer system provides a configuration inspector for inspecting partitions to determine their identities and configuration information. The system also includes a policy controller for automatically setting workload-management policies at least in part as a function of the configuration information in response to a command. Computer partitions may be inspected to acquire configuration information such as identity and configuration information regarding workload containers contained by each of the partitions. An automatic policy generator may be triggered to generate policies for allocating resources to workloads as a function of the configuration information.

A proxy server and a hierarchical network system and a distributed workload management method. According to one embodiment of this disclosure, the proxy server includes: a rate controller configured to, based on measured request-related information and service quality parameters relative to service levels of requests, periodically determine a dispatch rate for requests of each service level, wherein the sum of the dispatch rate for respective service levels is less than or equal to a predetermined rate; and a request dispatcher configured to dispatch the requests of the corresponding service level in accordance with the dispatch rate determined by the rate controller. One aspect of the disclosure realizes a low overhead, highly scalable, simple and efficient workload management system to achieve QoS assurance and overload protection.

A workload management system where processes associated with a class have resource management strategies that are specific to that class is provided. The system includes more than one class, with at least one unique algorithm for executing a workload associated with each class. Each algorithm may comprise a strategy for executing a workload that is specific to that class and the algorithms of one class may be completely unrelated to the algorithms of another class. The workload management system allows workloads with different attributes to use system resources in ways that best benefit a workload, while maximizing usage of the system's resources and with minimized degradation to other workloads running concurrently.

A mixed workload management system and associated operating method modify a shortest job first (SJF) by service levels. The workload management system comprises a scheduler configured for scheduling mixed workloads. The scheduler comprises an analyzer that determines query execution time, assigns scheduling priority to a query in order inverse to the query execution time, weights the assigned scheduling priority by service level of the query, and sorts a list of queries in order of weighted scheduling priority. A schedule controller selects a query for execution from head of the sorted list of queries.

A system and method designed to enable schools to proactively manage and analyze a student's workload. The workload management system helps identify, for each individual student, workload hotspots early and helps teachers and administrators in schools take action to mitigate the stress that such workload hotspots create.

A proxy server and a hierarchical network system and a distributed workload management method. According to one embodiment of this disclosure, the proxy server includes: a rate controller configured to, based on measured request-related information and service quality parameters relative to service levels of requests, periodically determine a dispatch rate for requests of each service level, wherein the sum of the dispatch rate for respective service levels is less than or equal to a predetermined rate; and a request dispatcher configured to dispatch the requests of the corresponding service level in accordance with the dispatch rate determined by the rate controller. One aspect of the disclosure realizes a low overhead, highly scalable, simple and efficient workload management system to achieve QoS assurance and overload protection.

A high performance computing (HPC) system has an architecture that separates data paths used by compute nodes exchanging computational data from the data paths used by compute nodes to obtain computational work units and save completed computations. The system enables an improved method of saving checkpoint data, and an improved method of using an analysis of the saved data to assign particular computational work units to particular compute nodes. The system includes a compute fabric and compute nodes that cooperatively perform a computation by mutual communication using the compute fabric. The system also includes a local data fabric that is coupled to the compute nodes, a memory, and a data node. The data node is configured to retrieve data for the computation from an external bulk data storage, and to store its work units in the memory for access by the compute nodes.

A system and method are provided for facilitating workload management. The system processes first sensor data to estimate the current cognitive state of a first person, and processes second sensor data to estimate the current cognitive state of a second person. Information representative of the estimates of the current cognitive states of the first person and the second person is simultaneously rendered on a display device.

The invention discloses a teaching workload management system in colleges and universities based on B / S structure, which includes a school-level management module and at least one school-level management module. The school-level management module is used to manage at least one school-level management module. The management module includes the workload calculation module, which is used to calculate the workload according to the workload calculation standard; the information management module, which is used for position and title management, college management, course management, teacher management and teaching task management; query and statistics module, which is used for Complete workload query and workload statistics; workload assessment module, used to complete the review of workload reduction and exemption, workload reduction and exemption application, workload assessment standards and workload assessment; system management module, used to complete basic information management and Message management. In order to ensure flexibility, the present invention ensures that all information involved in workload calculation and management is modifiable as much as possible, thus reserving a certain space for future upgrade and maintenance.

An enterprise data warehouse or business intelligence system having a plurality of processors and memory resources. The system includes at least a database server, a workload management system, a query compiler, and a query executor. The database server configured to receive a database query from an application at a database client system. The query compiler configured to prepare the execution plan for the query and compute the number of executive server processes (ESPs) in each ESP layer of the query. The workload management system is configured to generate an affinity value, and the query executor is configured to execute the query. As disclosed herein, placement of the executive server process layers of the query onto processors of the computing system is determined using the affinity value. Other embodiments, aspects and features are also disclosed.