Abstract: Systems, methods, devices and computer-readable storage mediums are disclosed for assisted GNSS velocity estimation. In an implementation, a method comprises: obtaining, by a mobile device, a step-based speed measurement based on sensor data; obtaining, by the mobile device, a step-based speed uncertainty associated with the step-based speed measurement; determining, by the mobile device, that one or more assistance conditions are met; responsive to the determining, assisting a state estimator using the step-based speed measurement and the associated step-based speed uncertainty; and estimating at least one of the position, velocity or speed of the mobile device using the assisted state estimator.

Abstract: Techniques for optimizing guest operating system (OS) utilization cost in a processor based licensing model in a virtual datacenter are described. In one example embodiment, a virtual machine (VM) that has or is scheduled to have an instance of an operating system (OS) that requires a license is identified. Availability of a physical processor of a first host computing system that is licensed to execute the OS based on the computing resource requirements of the VM, the physical processor based license, author assigned affinity to physical processors in the first host computing system is determined. The VM is then migrated/placed to/on the physical processor of the first host computing system or migrated/placed to/on a physical processor of a second host computing system based on the outcome of the determination.

Abstract: Techniques for GNSS positioning using three-dimensional (3D) building models are described. A processor can determine a probable path for a signal from a GNSS space vehicle (e.g., a satellite) to reach the GNSS receiver. The probable path can include one or more specular reflections. The processor can determine a Doppler correction based on the probable path, including inverting a sense of a vector of the Doppler correction for each reflection. The processor can then incorporate the Doppler correction in an estimated velocity of the mobile device, an estimated position of the mobile device, or both.

Abstract: The present disclosure relates to system(s) and method(s) for registration of a custom component on a Stream Analytics Platform. The system is configured to receive a program file and one or more registration instructions corresponding to the custom component, from a primary user of the Stream Analytics Platform. Further, a program code may be extracted from the program file by parsing the program file. Further, the system is configured to register the program code as a registered custom component, on the Stream Analytics Platform based on the one or more registration instructions. Once registered, the registered custom component is available over a Graphical User Interface (GUI) of the Stream Analytics Platform. The system enables at least the primary user or a set of secondary users of the Stream Analytics platform to use the registered custom component, based on the one or more registration instructions, for designing a distributed processing pipeline.

Abstract: Methods and systems that allocate the total cost of virtual storage created from hard disk drives (“HDDs”) and solid state drives (“SSDs”) of server computers and mass-storage devices of a cloud-computing facility are described. The virtual storage is used to form virtual disks (“VDs”) of virtual machines (“VMs”) comprising a virtual datacenter (“VDC”). Methods calculate a total virtual storage cost of the virtual storage from hardware costs and other costs such as labor, maintenance, facilities and licensing costs, which is used to calculate an HDD cost rate and an SSD cost rate. A cost of each VD is calculate based on virtual storage policy parameters, the HDD cost rate, and the SSD cost rate. The costs of the VDs associated with a VM are combined to obtain a VM storage cost. The VM storage costs may be combined to obtain the virtual storage cost of the VDC.

Abstract: The present disclosure describes methods and systems that monitor the utilization of computational resources. In one implementation, a system periodically measures the utilization of computational resources, determines an amount of computational-resource wastage, identifies the source of the wastage, and generates recommendations that reduce or eliminate the wastage. In some implementations, recommendations are generated based on a cost of the computational-resource wastage. The cost of computational-resource wastage can be determined from factors that include the cost of providing a computational resource, an amount of available computational resources, and the amount of actual computational-resource usage. Methods of presenting and modeling computational-resource usage and methods that associate an economic cost with resource wastage are presented.

Abstract: Techniques for GNSS positioning using three-dimensional (3D) building models are described. A processor of a mobile device can determine a lower bound of uncertainty for an estimated position of the mobile device. The processor can receive an estimated position from a GNSS receiver of the mobile device. The processor can acquire geographic feature data including 3D building models of buildings and other geographic features that are located near the estimated position and may reflect GNSS signals. The processor can then determine a lower bound of uncertainty of the estimated position, regardless of an estimated uncertainty provided by a GNSS estimator. The lower bound can be higher (e.g., have a greater error margin) than the uncertainty value provided by the GNSS estimator. The processor can then present the estimated position, in association with an error margin corresponding to the lower bound of uncertainty, on a map user interface of the mobile device.

Abstract: Methods and systems are directed to allocating costs of storage arrays to logical disks. A fully loaded cost of storage of a storage area network (“SAN”) is calculated based on capital and operational expenditures of the SAN. Data is stored in the SAN in logical groups partitioned into logical disks. The unit rates of the logical groups are calculated from the capacities and utilization of the storage arrays that form the SAN. The unit rate of a logical disk is the unit rate the logical group to which the logical disk belongs. The storage cost of each logical disk is calculated from the unit rate of the logical disk and the utilized capacity of the logical disk. Methods also calculate cost of unallocated capacities of the logical disks, storage arrays, and the SAN, in order to evaluate efficient use of the SAN storage resources.

Abstract: Methods and apparatus to select virtualization environments are disclosed. An example apparatus includes a logic circuit, a workload analyzer to determine characteristics of a virtualized application, a score generator to compare the characteristics of the virtualized application to a plurality of virtualization environment types to determine scores for each of the plurality of virtualization environment types, the scores based on rules that identify different scores for combinations of characteristics and virtualization environment types, and a workload deployer to deploy the virtualized application using one of the plurality of virtualization environment types based on the scores.

Abstract: Techniques for improving positioning performance using categorization of navigation signal environment are described. A mobile device can receive signal environment data. The signal environment data can represent multiple geographic areas. The signal environment data includes a respective signal environment category for each geographic area, each signal environment category corresponding to a degree to which geographic features in the respective geographic area affect reception of the navigation signals. The mobile device can determine that the mobile device is located in a particular geographic area represented in the signal environment data. The mobile device can then select a set of one or more rules for aiding location estimation. The set of one or more rules can correspond to the signal environment category of the geographic area. The mobile device can estimate a location of the mobile device using the navigation signals and under the set of one more rules.

Abstract: Techniques for location source control for paired devices are described. Location source control selects a location source for a mobile device. The mobile device can receive, from an application program, a request for determining a location of the mobile device. The mobile device can determine a first location estimate using a location subsystem of the mobile device. The mobile device can determine whether to provide the first location estimate as input to the application program, or to provide a second location estimate as input to the application program. The second location estimate can be an estimated location of the companion device and determined by the companion device.

Abstract: Systems, methods, devices and computer-readable storage mediums are disclosed for assisted GNSS velocity estimation. In an implementation, a method comprises: obtaining, by a mobile device, a step-based speed measurement based on sensor data; obtaining, by the mobile device, a step-based speed uncertainty associated with the step-based speed measurement; determining, by the mobile device, that one or more assistance conditions are met; responsive to the determining, assisting a state estimator using the step-based speed measurement and the associated step-based speed uncertainty; and estimating at least one of the position, velocity or speed of the mobile device using the assisted state estimator.

Abstract: Methods, systems and computer program products for determining and filtering potential outliers in RF signals used in radionavigation are described. A radionavigation subsystem of a mobile device can determine a first location estimate of the mobile device. The mobile device can determine a free direction from the first location estimate. The free direction can be a direction along which RF signals may cause greater position errors than RF signals from other directions may cause. The mobile device can determine a potential outlier among the received RF signals, the potential outlier being an RF signal from a signal source in the free direction. The mobile device can indicate to the radionavigation subsystem that a weight of the potential outlier shall be reduced when determining a second location estimate of the mobile device using the RF signals.

Abstract: An apparatus and method for providing an improved heading estimate of a mobile device in a vehicle is presented. First, the mobile device determines if it is mounted in a cradle attached to the vehicle; if so, inertia sensor data may be valid. While in a mounted stated, the mobile device determines whether it has been rotated in the cradle; if so, inertia sensor data may no longer be reliable and a recalibration to determine a new relative orientation between the vehicle and the mobile device is needed. If the mobile device is mounted and not recently rotated, heading data from multiple sensors (e.g., GPS, gyroscope, accelerometer) may be computed and combined to form the improved heading estimate. This improved heading estimate may be used to form an improved velocity estimate. The improved heading estimate may also be used to compute a bias to correct a gyroscope.

Abstract: Techniques for migrating a VM in a hybrid cloud computing system are provided. The techniques include identifying a similar VM at the destination, comparing dictionaries for the VM to be transmitted and the similar VM, and compressing the VM based on the comparison. After transmitting the compressed VM, the destination decompresses the VM using the dictionary of the similar VM. Dictionaries associate chunks of VM data with hashes of those chunks. This allows replacement of chunks with the hashes, thereby compressing the VM for transmission.

Abstract: Described above is a system for allocating variable compensation to a group of individuals. The system displays objective financial statistics associated with individuals, and subjective factors to be set by a user, where the system can convert subjective factors set by the user into a value. The user can then select base and variable compensation values for each individual. Other details are described herein.

Abstract: A method for scheduling computing resources with container migration includes determining a resource availability for one or more hosts, a resource allocation for one or more virtual machines (VMs), and a resource usage for one or more containers. The method includes identifying the hosts on which VMs and containers can be consolidated based on resource availability. The method also includes calculating a target resource configuration for one or more VMs. The method further includes removing or adding resources to the VMs for which a target resource configuration was calculated to achieve the target resource configuration. The method further includes allocating the one or more VMs on the one or more hosts based on the resource availability of the one or more hosts, and allocating the one or more containers on the one or more VMs based on the resource configuration of each VM and the resource usage of each container.

Abstract: Methods and apparatus to select virtualization environments are disclosed. An example method includes determining, via a processor, characteristics of a virtualized application that is awaiting deployment, analyzing, via the processor, the characteristics of the virtualized application to select a subset of virtualization environments that are capable of executing the virtualized application, the subset of virtualization environments selected from a set of virtualization environments of different virtualization environment types used in the datacenter, comparing, via the processor, the characteristics of the virtualized application to the virtualization environments of the subset of virtualization environments to determine scores for the virtualization environments, and deploying the virtualized application in the virtualization environment based on the scores.

Abstract: Apparatus and methods for estimating a location of a wireless device in communication with a wireless network, such as an LTE/LTE-A network, based at least in part on WLAN/WPAN AP measurements and/or barometric measurements are disclosed. The wireless device responds to a location capability inquiry from the wireless network by providing a response that indicates the wireless device is configurable to estimate its location based on WLAN/WPAN AP and/or barometric measurements. The wireless network sends WLAN/WPAN AP and/or barometric reference information to the wireless device to assist in estimating its location. The wireless device measures one or more WLAN/WPAN APs, and the wireless device uses the WLAN/WPAN AP and/or barometric measurements to estimate its location. In some embodiments, GPS/GNSS information is used in conjunction with WLAN/WPAN AP and/or barometric measurements to estimate the location of the wireless device.

Abstract: Systems and methods for managing sparsely updated counters in memory include, for a given interval of time and N counters associated with the given interval, managing a first set of the N counters in a first level of storage in the memory, wherein the first level of storage utilizes a hash table to store a counter identifier and a value for each of the first set; and responsive to filling up the first level of storage for a given user in the given interval, managing the first set and a second set of the N counters in a second level of storage in the memory, wherein the set utilizes memory buckets to incrementally store the first set and the second set.