In one embodiment of the invention, a method for a robotic system is disclosed to track one or more robotic instruments. The method includes generating kinematics information for the robotic instrument within a field of view of a camera; capturing image information in the field of view of the camera; and adaptively fusing the kinematics information and the image information together to determine pose information of the robotic instrument. Additionally disclosed is a robotic medical system with a tool tracking sub-system. The tool tracking sub-system receives raw kinematics information and video image information of the robotic instrument to generate corrected kinematics information for the robotic instrument by adaptively fusing the raw kinematics information and the video image information together.

Methods and systems for robotic instrument tool tracking with adaptive fusion of kinematics information and image information

Described in detail herein is a method of copying data of one or more virtual machines being hosted by one or more non-virtual machines. The method includes receiving an indication that specifies how to perform a copy of data of one or more virtual machines hosted by one or more virtual machine hosts. The method may include determining whether the one or more virtual machines are managed by a virtual machine manager that manages or facilitates management of the virtual machines. If so, the virtual machine manager is dynamically queried to automatically determine the virtual machines that it manages or that it facilitates management of. If not, a virtual machine host is dynamically queried to automatically determine the virtual machines that it hosts. The data of each virtual machine is then copied according to the specifications of the received indication.

Systems and methods for management of virtualization data

An architecture and methodology for designing, deploying, and managing a distributed application onto a distributed computing system is described.

Architecture for distributed computing system and automated design, deployment, and management of distributed applications

System, method, and tangible computer-readable storage media are disclosed for providing a brokering service for compute resources The method includes, at a brokering service, polling a group of separately administered compute environments to identify resource capabilities and information, each compute resource environment including the group of managed nodes for processing workload, receiving a request for compute resources at the brokering service system, the request for compute resources being associated with a service level agreement (SLA) and based on the resource capabilities across the group of compute resource environments, selecting compute resources in one or more of the group of compute resource environments The brokering service system receives workload associated with the request and communicates the workload to the selected resources for processing The brokering services system can aggregate resources for multiple cloud service providers and act as an advocate for or a guarantor of the SLA associated with the workload

System and method of brokering cloud computing resources

In embodiments of the present invention improved capabilities are described for managing digital rights management (DRM) protected content sharing in a networked secure collaborative computer data exchange environment through a secure exchange facility managed by an intermediate organizational entity amongst users of a plurality of other organizational entities, wherein computer data content and access rights for the computer data content is shared between a first and second user, the computer data content and access rights for the computer data content are transformed into a DRM protected computer data content through communications with a DRM engine, wherein the DRM engine is selected based on a content type of the computer data content, and the DRM engine is provided by an entity other than the intermediate organizational entity and other than any of the plurality of other organizational entities.

Systems and methods of secure data exchange

Methods, systems, and devices are provided for managing resources in a computing cluster. The managed resources include cluster nodes themselves, as well as sharable resources such as memory buffers and bandwidth credits that may be used by one or more nodes. Resource management includes detecting failures and possible failures by node software, node hardware, interconnects, and system area network switches and taking steps to compensate for failures and prevent problems such as uncoordinated access to a shared disk. Resource management also includes reallocating sharable resources in response to node failure, demands by application programs, or other events. Specific examples provided include failure detection by remote memory probes, emergency communication through a shared disk, and sharable resource allocation with minimal locking.

Resource management in a clustered computer system

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

System and method for intelligent workload management

An adaptive vision based controller for controlling a robot arm comprises a camera, a segmenter for analyzing images from the camera, a tracker, sketcher and ranger responsive to information from the segmenter for creating a three dimensional segmented data list, a recognizer for receiving the data list and comparing data in the list against a database of plausible objects, and a planner interactive with the recognizer and responsive to task definitions for developing control outputs. The recognizer uses scenic information such as feature maps produced by the segmenter in conjunction with a knowledge base to construct a world model. The planner uses the world model and the task definitions to construct a plan in the form of a set of actions for accomplishing the defined task. By way of the control system, information about how the robot arm is actually performing a task can be compared with the desired task and the task can be updated if necessary. Thus the controller provides visual feed back control of the task performed by the robot arm.

Adaptive vision-based controller

The method includes receiving an object operation from an application at a hardware device manager. The object operation includes an object identifier. The method includes performing the object operation directly on a storage device. A physical address for the object corresponding to the object identifier is mapped directly to the object identifier in an index managed by the hardware device manager.

Object-based memory storage

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.

Robert Wipfel

Papers

Resource management in a clustered computer system

System and method for intelligent workload management

Adaptive vision-based controller

Object-based memory storage

System and method for providing annotated service blueprints in an intelligent workload management system