Abstract: An electronic file migration system that analyzes data and migrate qualifying files from a source file system to another or cloud file system. The system can infer access times of the files from create and modify times. The system copies “qualifying” (e.g. aged under a probationary period) files from a source file system to a cloud file system or other storage system, and substitutes them with symbolic links or stubs to the target copies. The system may provide seamlessly-automated and interoperable data archiving, backups, transfers, analytics, and optimizations in an organization. In addition, it may also be desirable to devise a novel electronic file migration system for a third-party service provider to seamlessly process, manage, optimize, and analyze data archiving, backups, and transfers in a client organization.

Abstract: A method and apparatus for traffic signal timing estimation are disclosed. Traffic signal timing estimation may include a vehicle identifying transportation network information representing a vehicle transportation network including an intersection. The transportation network information may include expected traffic control device state information corresponding to the intersection, such as an artificial neural network based machine learning model trained for the intersection. The vehicle may identify a route through the vehicle transportation network that includes the intersection based on the expected traffic control device state information and may control the traversal of the vehicle transportation network by the vehicle based on the expected traffic control device state information to minimize one or more operational cost metrics. Training the model may include identifying training data from input data previously generated and stored by a traffic control device controller of the intersection.

Abstract: A method for managing a cache memory network is disclosed. The method comprises estimating the popularity of a piece of data content according to an extreme learning machine, and managing the cache memory network according to the estimated popularity of the piece of data content. Estimation may be performed upon a request for the piece of data content, and may be accordingly cashed into an appropriate cache memory device upon estimation of its popularity.

Abstract: A method for managing a cache memory network is disclosed. The method comprises estimating the popularity of a piece of data content according to an extreme learning machine, and managing the cache memory network according to the estimated popularity of the piece of data content. Estimation may be performed upon a request for the piece of data content, and may be accordingly cashed into an appropriate cache memory device upon estimation of its popularity.

Abstract: A method and apparatus for traffic signal timing estimation are disclosed. Traffic signal timing estimation may include a vehicle identifying transportation network information representing a vehicle transportation network including an intersection. The transportation network information may include expected traffic control device state information corresponding to the intersection, such as a support vector regression based machine learning model trained for the intersection. The vehicle may identify a route through the vehicle transportation network that includes the intersection based on the expected traffic control device state information and may control the traversal of the vehicle transportation network by the vehicle based on the expected traffic control device state information to minimize one or more operational cost metrics. Training the model may include identifying training data from input data previously generated and stored by a traffic control device controller of the intersection.

Abstract: In an example implementation, a network topology map with storage paths between servers and storage volumes of storage arrays in a storage network through network switches may be generated. A network switch may be identified from the network switches in the network topology map as a bottleneck by monitoring a performance parameter for each of the network switches. The performance parameter is indicative of I/O load at a port of a respective network switch. Storage volumes in the network topology map and connected to the bottlenecked network switch may be identified, and storage volume I/O metrics associated with each of the servers with respect to the identified storage volumes may be aggregated. Based on the aggregated storage volume I/O metrics, at least one of the servers may be determined as a candidate for a root-cause of the bottleneck.

Abstract: A storage space management system for a thin provisioned virtual environment may comprise an over-allocation computation engine to compute an over-allocation metric for a virtual datastore. The over-allocation metric may be computed based on virtual storage space allocated to corresponding virtual machines and actual physical storage allocated to the virtual datastore. Further, the over-allocation metric may indicate extent of over-allocation of the actual physical storage to the virtual datastore. An available space computation engine may determine an available space metric for the virtual machines based on available datastore space and available physical storage space. An analysis engine may obtain a time value indicating time left within which storage space available for the virtual machines would be utilized.

Abstract: In one example, at least one storage usage category for a storage volume identified for metering is determined. The at least one storage usage category may indicate how the storage volume operates to store data over a networked computing environment. Once the at least one storage usage category is determined, a usage value for the storage volume of the at least one storage usage category is obtained, wherein the usage value provides a measure of usage of the storage volume.

Abstract: A method and apparatus for traffic signal timing estimation are disclosed. Traffic signal timing estimation may include a vehicle identifying transportation network information representing a vehicle transportation network including an intersection. The transportation network information may include expected traffic control device state information corresponding to the intersection, such as an artificial neural network based machine learning model trained for the intersection. The vehicle may identify a route through the vehicle transportation network that includes the intersection based on the expected traffic control device state information and may control the traversal of the vehicle transportation network by the vehicle based on the expected traffic control device state information to minimize one or more operational cost metrics. Training the model may include identifying training data from input data previously generated and stored by a traffic control device controller of the intersection.

Abstract: A method and apparatus for traffic signal timing estimation are disclosed. Traffic signal timing estimation may include a vehicle identifying transportation network information representing a vehicle transportation network including an intersection. The transportation network information may include expected traffic control device state information corresponding to the intersection, such as a support vector regression based machine learning model trained for the intersection. The vehicle may identify a route through the vehicle transportation network that includes the intersection based on the expected traffic control device state information and may control the traversal of the vehicle transportation network by the vehicle based on the expected traffic control device state information to minimize one or more operational cost metrics. Training the model may include identifying training data from input data previously generated and stored by a traffic control device controller of the intersection.

Abstract: An electronic file migration system that analyzes data and migrate qualifying files from a source file system to another or cloud file system. The system can infer access times of the files from create and modify times. The system copies “qualifying” (e.g. aged under a probationary period) files from a source file system to a cloud file system or other storage system, and substitutes them with symbolic links or stubs to the target copies. The system may provide seamlessly-automated and interoperable data archiving, backups, transfers, analytics, and optimizations in an organization. In addition, it may also be desirable to devise a novel electronic file migration system for a third-party service provider to seamlessly process, manage, optimize, and analyze data archiving, backups, and transfers in a client organization.

Abstract: In a method for identifying the parking status of a vehicle, navigation data for a vehicle is recorded that includes at least some GPS navigation data originating from communication with GPS satellites. The vehicle is identified as being parked in an enclosed structure for a parking event if the navigation data does not include GPS navigation data associated with the parking event.

Abstract: A computer-aided method for marketing to subjects in a social media platform over the internet comprises supplementing social media data derived from a social media platform and representing candidate subjects for marketing with demographic data derived from outside social media platforms and representing attributes of a population by assigning, in data, the candidate subjects with demographic tags that indicate an attribute of their population. A cluster of target subjects for marketing is selected, from the data, from among the candidate subjects based on the demographic tags, and a marketing message is sent, over the internet using a social media platform, to at least one of the target subjects in the cluster.

Abstract: A method and apparatus for synchronously updated vehicle transportation network information for autonomous vehicle routing and navigation are provided. Synchronously updated vehicle transportation network information for autonomous vehicle routing and navigation may include an autonomous vehicle identifying vehicle transportation network information, identifying an origin, identifying a destination, generating a plurality of candidate routes from the origin to the destination based on the vehicle transportation network information, receiving, from an off-vehicle sensor, current vehicle transportation network state information indicating a state of at least a portion of the vehicle transportation network, identifying an optimal route from the plurality of candidate routes based at least in part on the current vehicle transportation network state information, the optimal route having a minimal route cost, and operating the autonomous vehicle to travel from the origin to the destination using the optimal route.

Abstract: A method for determining whether a vehicle was washed at a carwash includes recording navigation data for a vehicle. The method further includes identifying whether the vehicle was located at a carwash based on the recorded navigation data, identifying at least one indication that the vehicle was washed while located at the carwash, and determining that the vehicle was washed at the carwash if the vehicle was located at the carwash and at least one indication is identified that the vehicle was washed while located at the carwash.

Abstract: Methods and systems for financing community shared vehicles are based in part on the amenity value of the community shared vehicle program. One method for determining an amenity value of a community shared vehicle program comprises collecting data on a plurality of factors of the community shared vehicle program over a period of time, determining a contributing value of each of the plurality of factors based on the data collected and calculating with a computer the amenity value of the community shared vehicle program per home in a serviced community from the value of each of the plurality of factors.

Abstract: Methods and systems provide a derivative financing product for a community shared vehicle program by establishing a line of credit for each participating home to pay for the community shared vehicle program. The line of credit derives value from both tangible and intangible values of the community shared vehicle program. The line of credit is established by estimating a total home value per participating home at a start of a financing term based on an estimated amenity value of the community shared vehicle program for the financing term and a number of participating homes, estimating a cost of the community shared vehicle program for the financing term per participating home and determining a periodic payment per participating home based on periodic payment throughout the financing term to be paid from the line of credit to cover the total cost of the community shared vehicle program while providing a profit.

Abstract: Methods and apparatus are provided for monitoring a vehicle, and in particular, for monitoring a vehicle to determine a vehicle condition based on operational factors to incentivize or penalize a driver. One method of monitoring a vehicle comprises providing the vehicle to a driver for a term, the vehicle associated with a base vehicle condition, collecting operational data of the vehicle during the term, manipulating the operational data of the vehicle periodically throughout the term to arrive at an updated vehicle condition and providing an incentive or a penalty to the driver based on the updated vehicle condition.

Abstract: Methods and apparatus are provided for monitoring a vehicle, and in particular, for monitoring a vehicle to determine a vehicle condition based on non-operational factors to incentivize or penalize a driver. One method of monitoring a vehicle comprises providing the vehicle to a driver for a term, the vehicle associated with a base vehicle condition, collecting non-operational data of the vehicle during the term, manipulating the non-operational data of the vehicle periodically throughout the term to arrive at an updated vehicle condition and providing an incentive or a penalty to the driver based on the updated vehicle condition.

Abstract: In a method for identifying the parking status of a vehicle, navigation data for a vehicle is recorded that includes at least some GPS navigation data originating from communication with GPS satellites. The vehicle is identified as being parked in an enclosed structure for a parking event if the navigation data does not include GPS navigation data associated with the parking event.