Abstract: Systems and methods for transparent high availability for multi-customer support with hypervisor based bond implementation. The method can include creating a network path bond between a plurality of compute instances and a plurality of Network Virtualization Devices (“NVD”), the network path bond comprising a plurality of network paths, identifying a monitoring bond coupling the plurality of NVDs to a monitoring agent, creating a number of monitoring VNICs, each of the number of monitoring VNICs residing in one of the plurality of NVDs, overlaying a unique IP address to each of the monitoring VNICs, determining with the monitoring agent a health of at least one of network paths, the network paths including an active network path and an inactive network path, and activating the inactive network path when the active network path fails.

Abstract: Systems and methods for transparent high availability for customer virtual machines using a hypervisor-based side channel bonding and monitoring are disclosed herein.

Abstract: Systems and methods for support server high availability with network link bonding for cloud overlay networks are disclosed herein. The method can include selecting a compute instance, identifying a plurality of Network Virtualization Devices (“NVD”) for association with the compute instance, and creating a number of Virtualized Network Interface Cards (“VNIC”), each of which VNICs can reside in one of the plurality of NVDs. The method can include overlaying an IP address of the compute instance to each of the VNICs, such that each of the VNICs share a common IP address, designating a network path formed by one of the VNICs in one of the NVDs as an active network path and another of the network paths as an inactive network path, and activating the inactive network path when the active network path fails.

Abstract: A device to image registration method includes obtaining image data of a device, the device including a plurality of fiducials arranged as a fiducial frame on the device; detecting fiducial objects within the image data; cropping the image data to generate cropped image data; applying a feature enhancement to the cropped image data to enhance the fiducial objects; generating a candidate list of candidate objects based on the feature enhancement, and determining a common plane based on at least three points in the candidate list; determining a representative point for each candidate object; determining outlier candidate objects based on the common plane; determining resultant objects by extracting the outlier candidate objects from the candidate list; and registering the resultant objects to the device by matching the representative points of the resultant objects with a model of the fiducial frame.

Abstract: One or more devices, systems, methods and storage mediums for performing medical procedure (e.g., needle guidance, ablation, biopsy, etc.) planning and/or performance, and/or for performing registration using at least one mask, are provided. Examples of applications for such devices, systems, methods and storage mediums include imaging, evaluating and diagnosing biological objects, such as, but not limited to, lesions and tumors, and such devices, systems, methods and storage mediums may be used for radiotherapy applications (e.g., to determine whether to place seed(s) for radiotherapy). The devices, systems, methods and storage mediums provide improved registration results by utilizing at least one mask to suppress one or more artifacts or objects (which may or may not include, but is not limited to, at least one medical instrument or tool) in an image including a portion of the medical guidance device and/or to enhance a region or target of interest in the image.