629results about How to "Improve execution" patented technology

The system and method described herein may identify one or more virtual desktop extensions available in a cloud computing environment and launch virtual machine instances to host the available virtual desktop extensions in the cloud. For example, a virtual desktop extension manager may receive a virtual desktop extension request from a client desktop and determine whether authentication credentials for the client desktop indicate that the client desktop has access to the requested virtual desktop extension. In response to authenticating the client desktop, the virtual desktop extension manager may then launch a virtual machine instance to host the virtual desktop extension in the cloud and provide the client desktop with information for locally controlling the virtual desktop extension remotely hosted in the cloud.

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 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 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.

Systems and methods to leverage and manage data and knowledge in a M2M or Internet of Things (IoT) network are provided. More particularly, a cognitive intelligence platform for an IoT network that provides autonomic decision support system at or near real-time and executes a dynamic runtime is provided. The hardware, software and communication design of the platform replicates the structural and operational model of the human nervous system to achieve cognitive intelligence through adaptation, collaborative learning, knowledge sharing and self-adjustment. Further, in one embodiment, the cognitive intelligence platform has three logical processing layers of increasing complexity, each of which has agents that use statistical and machine learning techniques and algorithms to resolve situational needs and update knowledge. Furthermore, each processing layer of the platform has a basic level of intelligence and additionally the hierarchy of layers aggregates the learning and intelligence at each layer.

In a data-processing method, first result data may be obtained using a plurality of configurable coarse-granular elements, the first result data may be written into a memory that includes spatially separate first and second memory areas and that is connected via a bus to the plurality of configurable coarse-granular elements, the first result data may be subsequently read out from the memory, and the first result data may be subsequently processed using the plurality of configurable coarse-granular elements. In a first configuration, the first memory area may be configured as a write memory, and the second memory area may be configured as a read memory. Subsequent to writing to and reading from the memory in accordance with the first configuration, the first memory area may be configured as a read memory, and the second memory area may be configured as a write memory.

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.

A data processing system having a data processing core and integrated pipelined array data processor and a buffer for storing list of algorithms for processing by the pipelined array data processor.

The present invention relates to an integrated full-text search architecture that integrates full text search with database server applications in a tight manner so that it becomes part of the server in all aspects including storage, metadata, query processing, back/up restore and resource management. This provides improved performance with respect to queries as well as improved manageability. Furthermore, the subject architecture is open and schema directed unlike other conventional full-text search architectures. Accordingly, the full-text search architecture enables expert users (e.g., search providers) to define their own index structures as well as ranking algorithms.

One or more methods and systems of improving the performance of consecutive data stores into a cache memory are presented. In one embodiment, the method comprises writing data into a data array associated with at least a first store instruction while accessing a tag in a tag array associated with at least a second store instruction. In one embodiment, the method of processing consecutive data stores into a cache memory comprises updating a first data in a cache memory while concurrently looking up or identifying a second data in the cache memory. In one embodiment, a system for improving the execution of data store instructions of a CPU comprises a pipelined buffer using a minimal number of data entries, a data array used for updating data associated with a first store instruction, and a tag array used for looking up data associated with a second store instruction.

The present invention relates to circuitry and a method for providing data security, which circuitry contains at least one processor and at least one storage circuit. The invention is based on the idea that circuitry is provided in which a processor is operable in at least two different modes, one first secure operating mode and one second unsecure operating mode. In the secure mode, the processor has access to security related data located in various memories located within the circuitry. The access to these security data and the processing of them need to be restricted, since an intruder with access to security data could manipulate the circuitry. When testing and/or debugging the circuitry, access to security information is not allowed. For this reason, the processor is placed in the unsecure operating mode, in which mode it is no longer given access to the protected data.

A method (and system) of transparent dynamic optimization in a multiprocessing environment, includes monitoring execution of an application on a first processor with an execution monitor running on another processor of the system, and transparently optimizing one or more segments of the original application with a runtime optimizer executing on the another processor of the system.

The position of an imaging catheter in a body structure such as the heart is automatically controlled by a robotic manipulator such that its field of view at all times includes the distal end of a second catheter that is employed to effect a medical procedure. A processor receives signals from position sensors in the catheters. The processor utilizes the information received from the sensors and continually determines any deviation of the second catheter from the required field of view of the imaging catheter. The processor transmits compensation instructions to the robotic manipulator, which when executed assure that the imaging catheter tracks the second catheter.

The invention provides systems and methods for providing replicable financial instrument orders, and establishing a fill price that is better than the theoretical upper limit of the industries' best order execution. The system has the capability of transforming a client's index order into a replicable product, such as index futures and/or baskets of the underlying stocks. The system selects whichever method and combination of securities that will achieve the best expected execution for the particular market. The system achieves the best price and execution efficiency by utilizing dynamic market information across all possible liquidity formats, liquidity pools, and high performance trading systems, delivering a product that has multiple forms at the best possible price. The result is a better final execution price that outperforms current industry practices for best order execution. The system delivers the fill order in the original liquidity format at the price, or equivalent price, of the replicable product.

In a data-processing method, first result data may be obtained using a plurality of configurable coarse-granular elements, the first result data may be written into a memory that includes spatially separate first and second memory areas and that is connected via a bus to the plurality of configurable coarse-granular elements, the first result data may be subsequently read out from the memory, and the first result data may be subsequently processed using the plurality of configurable coarse-granular elements. In a first configuration, the first memory area may be configured as a write memory, and the second memory area may be configured as a read memory. Subsequent to writing to and reading from the memory in accordance with the first configuration, the first memory area may be configured as a read memory, and the second memory area may be configured as a write memory.

In a method for program-controlled information processing, resources for information processing form a resource pool. Suitable resources are selected from the resource pool and connections between the selected resources are configured. Parameters are supplied to the selected resources and information processing operations are initiated in the selected resources. Data are transported between the selected resources and results are assigned. Connections that are no longer needed are disconnected between the selected resources. The selected resources that are no longer needed are returned to the resource pool.