202 results about "Workload management" patented technology

Network architecture, computer system and / or server, circuit, device, apparatus, method, and computer program and control mechanism for managing power consumption and workload in computer system and data and information servers. Further provides power and energy consumption and workload management and control systems and architectures for high-density and modular multi-server computer systems that maintain performance while conserving energy and method for power management and workload management. Dynamic server power management and optional dynamic workload management for multi-server environments is provided by aspects of the invention. Modular network devices and integrated server system, including modular servers, management units, switches and switching fabrics, modular power supplies and modular fans and a special backplane architecture are provided as well as dynamically reconfigurable multi-purpose modules and servers. Backplane architecture, structure, and method that has no active components and separate power supply lines and protection to provide high reliability in server environment.

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 for intelligent workload management described herein may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads, wherein the management threads may converge information for managing identities and access credentials, enforcing policies, providing compliance assurances, managing provisioned and requested services, and managing physical and virtual infrastructure resources. In one implementation, an authentication server may generate authentication tokens defining access credentials for managed entities across a plurality of authentication domains, wherein the authentication tokens may control access to resources in an information technology infrastructure. For example, a management infrastructure may create service distributions for the managed entities, which may include virtual machine images hosted on physical resources. Further, the authentication tokens may be embedded in the service distributions, whereby the embedded authentication tokens may control access to the resources in the information technology infrastructure.

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.

A method is provided for continuous optimization of allocation of computing resources for a horizontally scalable application which has a cyclical load pattern wherein each cycle may be subdivided into a number of time slots. A computing resource allocation application pre-allocates computing resources at the beginning of a time slot based on a predicted computing resource consumption during that slot. During the servicing of the workload, a measuring application measures actual consumption of computing resources. On completion of servicing, the measuring application updates the predicted computing resource consumption profile, allowing optimal allocation of resources. Un-needed computing resources may be released, or may be marked as releasable, for use upon request by other applications, including applications having the same or lower priority than the original application. Methods, computer systems, and computer programs available as a download or on a computer-readable medium for installation according to the invention are provided.

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.

Network architecture, computer system and / or server, circuit, device, apparatus, method, and computer program and control mechanism for managing power consumption and workload in computer system and data and information servers. Further provides power and energy consumption and workload management and control systems and architectures for high-density and modular multi-server computer systems that maintain performance while conserving energy and method for power management and workload management. Dynamic server power management and optional dynamic workload management for multi-server environments is provided by aspects of the invention. Modular network devices and integrated server system, including modular servers, management units, switches and switching fabrics, modular power supplies and modular fans and a special backplane architecture are provided as well as dynamically reconfigurable multi-purpose modules and servers. Backplane architecture, structure, and method that has no active components and separate power supply lines and protection to provide high reliability in server environment.

A grid-based approach for enterprise-scale data mining that leverages database technology for I / O parallelism and on-demand compute servers for compute parallelism in the statistical computations is described. By enterprise-scale, we mean the highly-automated use of data mining in vertical business applications, where the data is stored on one or more relational database systems, and where a distributed architecture comprising of high-performance compute servers or a network of low-cost, commodity processors, is used to improve application performance, provide better quality data mining models, and for overall workload management. The approach relies on an algorithmic decomposition of the data mining kernel on the data and compute grids, which provides a simple way to exploit the parallelism on the respective grids, while minimizing the data transfer between them. The overall approach is compatible with existing standards for data mining task specification and results reporting in databases, and hence applications using these standards-based interfaces do not require any modification to realize the benefits of this grid-based approach.

An apparatus and method for performing workload management is provided. In particular, an apparatus and method for performing workload management using class shares and tiers is provided. In the apparatus and method, each process is associated with a particular class of workload. Each class has an associated number of shares representing the importance of the class relative to other classes. Each class, in turn, is associated with a particular tier of workload importance. Classes of processes compete with other classes of processes in their same tier for system resources based on the number of shares that they have. These shares are representative of the percentage of the system resource the process is provided relative to the other classes in the same tier. Classes in one tier compete with classes in other tiers for system resources based on the priority assigned to the tiers.

A system and methodology providing workload management in a database cluster. In one embodiment, for example, a method for allocating workload amongst a plurality of database servers sharing access to data comprises steps of: periodically collecting information about workload at each database server; distributing the workload information to each of the plurality of database servers; in response to a client connected to a first database server requesting that work be performed, examining the workload information to determine whether the requested work should be performed at a second database server having a lower workload than the first database server; if it is determined that the work should be performed at the second database server, automatically transferring the client connection to the second database server and performing the requested work at the second database server; and otherwise, performing the requested work at the first database server.

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.

A method and apparatus for enforcing capacity limitations such as those imposed by software license agreements in an information handling system in which a physical machine is divided into a plurality of logical partitions, each of which is allocated a defined portion of processor resources by a logical partition manager. A software license manager specifies a maximum allowed consumption of processor resources by a program executing in one of the logical partitions. A workload manager also executing in the partition measures the actual consumption of processor resources by the logical partition over a specified averaging interval and compares it with the maximum allowed consumption. If the actual consumption exceeds the maximum allowed consumption, the workload manager calculates a capping pattern and interacts with the logical partition manager to cap the actual consumption of processor resources by the partition in accordance with the calculated capping pattern. To provide additional capping flexibility, partitions are assigned phantom weights that the logical partition manager adds to the total partition weight to determine whether the partition has exceeded its allowed share of processor resources for capping purposes. The logical partition thus becomes a “container” for the licensed program with an enforced processing capacity less than that of the entire machine.

Distributed computing environment (DCE) remote procedure calls (RPCs) are integrated with an advisory work load manager (WLM) to provide a way to intelligently dispatch RPC requests among the available application server processes. The routing decisions are made dynamically (for each RPC) based on interactions between the location broker and an advisory work load manager. Furthermore, when the system contains multiple coupled processors (tightly coupled within a single frame, or loosely coupled within a computing complex, a local area network (LAN) configuration, a distributed computing environment (DCE) cell, etc.), the invention extends to balance the processing of RPC requests and the associated client sessions across the coupled systems. Once a session is assigned to a given process, the invention also supports performance monitoring and reporting, dynamic system resource allocation for the RPC requests, and potentially any other benefits that may be available through the specific work load manager (WLM).

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.

An object of this invention is to facilitate the workload management of a virtual server by an administrator in environment that a plurality of virtual computers configuring a single or a plurality of task systems are distributed among a plurality of physical computers. To achieve the object, there is provided a computer management method based upon a computer management method in a computer system having a plurality of physical computers, a plurality of virtual computers operated in the physical computer and a management computer connected to the physical computer via a network and characterized in that specification for performance allocated every group is accepted, the performance of the physical computers is acquired and the performance of the specified group is allocated to the virtual computers included in the group based upon the acquired performance of the physical computers.

According to an embodiment of the present invention, a system assigns at least one workload a hard share quantity and at least one other workload a soft share quantity or a hard share quantity. The system allocates a resource to the workloads based on the hard share quantity and the soft share quantity of active workloads in a predefined interval. A hard share quantity indicates a maximum resource allocation and a soft share quantity enables allocation of additional available processor time. Embodiments of the present invention further include a method and computer program product for allocating a resource to workloads in substantially the same manner as described above.

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.

The invention relates to the control of servers which process client work requests in a computer system on the basis of resource consumption. Each server contains multiple server instances (also called "execution units") which execute different client work requests in parallel. A workload manager determines the total number of server containers and server instances in order to achieve the goals of the work requests. The number of server instances started in each server container depends on the resource consumption of the server instances in each container and on the resource constraints, service goals and service goal achievements of the work units to be executed. At predetermined intervals during the execution of the work units the server instances are sampled to check whether they are active or inactive. Dependent on the number of active server instances the number of server address spaces and server instances is repeatedly adjusted to achieve an improved utilization of the available virtual storage and an optimization of the system performance in the execution of the application programs.

The present invention is directed to a system and method for managing allocation of a computer resource to at least one partition of a plurality of partitions of a multiple partition computer system, the system comprising: a plurality of work load managers, with one work load manager associated with each partition of the plurality of partitions, wherein each work load manager determines a resource request value for the computer resource based on at least one priority assigned to its partition associated with the computer resource; and a partition load manager that is operative to form an allocation value for each respective partition based on a respective resource request value; wherein the system apportions the computer resource among the plurality of partitions based on the allocation values.

A resource allocation method and system for efficiently allocating compute resources. The method includes providing a workload manager and installing a workload in the computer system. During the installing, a service level goal for the workload is provided to the workload manager, and the workload manager assigns a first resource allocation for the compute resources to the workload. Then, a service level being achieved for the workload is determined in the compute resources. Based on results of the comparing, the workload manager reallocates the compute resource with the workload manager including assigning a second resource allocation for the compute resources to the workload. The workload may be made up of one or more applications running on the compute resources over multiple OS instances. The installing of the workload includes the application interfacing with the workload manager to provide the service level goal during installation.

A method, system, and computer program for executing a network-based distributed application. An infrastructure is described that includes application containers configured to execute an application instance of the distributed application and measure quality of service metrics for the application instance. Workload management elements form a decentralized workload management layer. The workload management layer is configured to assign a workload to application containers based on the quality of service metrics received by the application containers.

By merging or adding the color contributions from objects intersected by secondary rays, the image processing system may accumulate color contributions to pixels from objects intersected by secondary rays as the further color contributions are determined. Furthermore, by associating a scaling factor of color contribution with objects and with secondary rays which intersect the objects, color contributions due to secondary ray / object intersections may be calculated at a later time than the color contribution to a pixel from original ray / object intersection. Consequently, it is not necessary for a vector throughput engine or a workload manager to wait for all secondary ray / object intersections to be determined before updating the color of a pixel.

Methods and apparatus involve managing workload migration to host devices in a data center having heterogeneously arranged computing platforms. Fully virtualized images include drivers compatible with varieties of host devices. The images also include an agent that detects a platform type of a specific host device upon deployment. If the specific host is a physical platform type, the agent provisions native drivers. If the specific host is a virtual platform type, the agent also detects a hypervisor. The agent then provisions front-end drivers that are most compatible with the detected hypervisor. Upon decommissioning of the image, the image is returned to its pristine state and saved for later re-use. In other embodiments, detection methods of the agent are disclosed as are computing systems, data centers, and computer program products, to name a few.

An image processing system may perform various tasks in an effort to evenly distribute workload amongst workload managers. According to one embodiment of the invention, the image processing system may divide a frame of pixels into different regions and assign responsibility for the regions to different workload managers in order to evenly distribute workload. The workload managers may be responsible for performing operations relating to determining or maintaining the color of the pixel within the region or regions which they are responsible. According to another embodiment of the invention, the image processing system may re-divide the frame into new regions based on relative workloads experienced by the processing elements to evenly distribute workload. Furthermore, according to another embodiment of the invention, the image processing system may re-partition a spatial index based on relative workloads experienced by the processing elements to evenly distribute workload amongst workload managers.

A computer system characterized by a container hierarchy uses a workload manager to allocate computing resources to workloads. The workload manager can allocate resources as a function of aggregate characteristics of a group of workloads, even where the group does not conform to the container hierarchy.

A scalable broker publish / subscribe broker network using a suite of active load balancing schemes is disclosed. In a Distributed Hashing Table (DHT) network, a workload management mechanism, consisting of two load balancing schemes on events and subscriptions respectively and one load-balancing scheduling scheme, is implemented over an aggregation tree rooted on a data sink when the data has a uniform distribution over all nodes in the network. An active load balancing method and one of two alternative DHT node joining / leaving schemes are employed to achieve the uniform traffic distribution for any potential aggregation tree and any potential input traffic distribution in the network.

A method of providing workload-management in a Workflow-Management-System (WFMS) includes a first method of automatically determining at least one enclave-graph within a process-model of a Workflow-Management-System (WFM), and a second method of executing the enclave-graphs. The method comprises an enclave-creation-step wherein if control-flow enters the enclave graph a first time, the WFMS creates a workload-management-enclave in the WLM on behalf of activities which are part of the enclave-graph. The method can comprise an enclave-join-step wherein the WFMS joins an activity of the enclave-graph to the workload-management-enclave in the WLM on behalf of the activity. Moreover the method can comprise an enclave-deletion-step for deleting the workload-management-enclave on behalf of the activities.

A computer implemented method, data processing system, and computer program product for managing computer workloads with security policy enforcement. When a determination is made that a component in a data processing system has failed to meet processing requirements, a candidate host to where the component may be migrated based on performance considerations is identified. A first security policy associated with the component is compared to a second security policy associated with the candidate host to determine if the first security policy is equivalent to or stronger than the second security policy. Responsive to a determination that the first security policy is equivalent to or stronger than the second security policy, the component is migrated to the candidate host.