Abstract: Embodiments of a system for determining a data gravity index score and implementing pervasive data center architecture is disclosed. In some embodiments, the system can calculate a data gravity index score based on the amount of data stored in a given location, an amount of data in motion in the given location, a bandwidth index associated with the given location, and a latency index associated with the given location. Based on data gravity index scores, in some embodiments, the system can localize traffic to improve network performance, improve security operations, and generate software-defined-network overlay.

Abstract: Embodiments of a system for determining a data gravity index score and implementing pervasive data center architecture is disclosed. In some embodiments, the system can calculate a data gravity index score based on the amount of data stored in a given location, an amount of data in motion in the given location, a bandwidth index associated with the given location, and a latency index associated with the given location. Based on data gravity index scores, in some embodiments, the system can localize traffic to improve network performance, improve security operations, and generate software-defined-network overlay.

Abstract: Embodiments of a system for determining a data gravity index score and implementing pervasive data center architecture is disclosed. In some embodiments, the system can calculate a data gravity index score based on the amount of data stored in a given location, an amount of data in motion in the given location, a bandwidth index associated with the given location, and a latency index associated with the given location. Based on data gravity index scores, in some embodiments, the system can localize traffic to improve network performance, improve security operations, and generate software-defined-network overlay.

Abstract: Embodiments of a system for determining a data gravity index score and implementing pervasive data center architecture is disclosed. In some embodiments, the system can calculate a data gravity index score based on the amount of data stored in a given location, an amount of data in motion in the given location, a bandwidth index associated with the given location, and a latency index associated with the given location. Based on data gravity index scores, in some embodiments, the system can localize traffic to improve network performance, improve security operations, and generate software-defined-network overlay.

Abstract: In one or more embodiments, one or more methods and/or system described can provide one or more solutions for controlling and managing cloud-based computing resources by providing a bridge between traditional management approaches in an enterprise and cloud-based approaches. These approaches are moving into the enterprise environment and will require re-architecting of systems and software and training of personnel to be successful. By abstracting away the cloud resources and making the cloud resources appear as local resources, the complexity of management and control can be greatly reduced. In one or more embodiments, local enterprise system can interface with a reverse proxy that can provide a single or uniform application programming interface to one or multiple cloud-based computing resources. This approach, using the reverse proxy that can provide a single or uniform application programming interface, can reduce the complexity of management and control of the cloud-based computing resource(s).

Abstract: A technique for identifying virtual machines (VMs) in a VM system includes determining a configuration file location on a data store for the VM. A VM manager (for the VM) and an associated VM identification assigned to the VM (by the VM manager) are determined. A unique VM identification is then created based on the configuration file location on the data store, the VM manager, and the associated VM identification.

Abstract: A system and method for processing input/output (I/O) requests in a virtualized computer system. I/O requests are received from a virtual machine. A set of virtual I/O channels that may be interfaced with a host I/O stack and/or a virtual machine I/O stack adaptively queues requested data using a variety of I/O queue management modules. In one embodiment, the virtual I/O channels include an entropy detection module and a queue storage. The entropy detection module determines an entropy value of specified I/O request data and encodes the specified I/O request data with the entropy value within the queue storage.

Abstract: A system and method for processing input/output (I/O) requests in a virtualized computer system. I/O requests are received from a virtual machine. A set of virtual I/O channels that may be interfaced with a host I/O stack and/or a virtual machine I/O stack adaptively queues requested data using a variety of I/O queue management modules. In one embodiment, the virtual I/O channels include an entropy detection module and a queue storage. The entropy detection module determines an entropy value of specified I/O request data and encodes the specified I/O request data with the entropy value within the queue storage.

Abstract: A system and method for processing input/output (I/O) requests in a virtualized computer system. I/O requests are received from a virtual machine. A set of virtual I/O channels that may be interfaced with a host I/O stack and/or a virtual machine I/O stack adaptively queues requested data using a variety of I/O queue management modules. In one embodiment, the virtual I/O channels include an entropy detection module and a queue storage. The entropy detection module determines an entropy value of specified I/O request data and encodes the specified I/O request data with the entropy value within the queue storage.

Abstract: A system and method for processing input/output (I/O) requests in a virtualized computer system. I/O requests are received from a virtual machine. A set of virtual I/O channels that may be interfaced with a host I/O stack and/or a virtual machine I/O stack adaptively queues requested data using a variety of I/O queue management modules. In one embodiment, the virtual I/O channels include an entropy detection module and a queue storage. The entropy detection module determines an entropy value of specified I/O request data and encodes the specified I/O request data with the entropy value within the queue storage.

Abstract: A device is provided for modifying the temperature of a breathing or other as supplied through a conduit. A heat exchanger is mounted in-line with the conduit. A thermoelectric device has first and second thermally conductive plates separated by at least one thermoelectric couple. The first thermally conductive plate is in thermal contact with the heat exchanger. A phase change material is in thermal contact with the second thermally conductive plate. A voltage is applied to the thermoelectric couple(s) to maintain the first and second thermally conductive plates at different temperatures. The phase change material changes from a first phase to a second phase at a phase change temperature that is selected to be between the different temperatures of the first and second thermally conductive plates.

Abstract: A storage and carriage stand for an outboard motor. The stand has a wheeled base constructed of opposing elongate side portions and a transversely positioned interior end portion which extends between the side portions tubular steel members. The base members support a frame which includes opposed upright members which are interconnected by a transversely positioned and vertically disposed generally planar shaped transom, to which an outboard motor may be securely affixed. The transport stand base is generally U-shaped so as to include an open end, with the open end being of sufficient width to allow a selected outboard motor which is being attached to said stand to freely pass between said opposing elongate side portions until said transom is reached by the outboard motor.