Abstract: Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.

Abstract: The disclosed technology includes a system comprising a tire-mounted inertial measurement unit (IMU). The IMU can be configured to measure linear acceleration data and angular velocity data associated with a tire, and the system can be configured to determine various indicators of tire health based on the linear acceleration data and angular velocity data. The system can be configured to determine a distance between the IMU and an outer rolling surface of the tire. The system can be configured to monitor changes in this distance over time, which can be indicative of tread wear over time. Accordingly, the system can be configured to monitor change in the tread depth over time such that the system is configured to monitor tread depth of the tire.

Abstract: The disclosed technology includes a system comprising a tire-mounted inertial measurement unit (IMU). The IMU can be configured to measure linear acceleration data and angular velocity data associated with a tire, and the system can be configured to determine various indicators of tire health based on the linear acceleration data and angular velocity data. The system can be configured to determine a distance between the IMU and an outer rolling surface of the tire. The system can be configured to monitor changes in this distance over time, which can be indicative of tread wear over time. Accordingly, the system can be configured to monitor change in the tread depth over time such that the system is configured to monitor tread depth of the tire.

Abstract: Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.

Abstract: Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.

Abstract: Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.

Abstract: Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.

Abstract: The disclosed technology includes a system comprising a tire-mounted inertial measurement unit (IMU). The IMU can be configured to measure linear acceleration data and angular velocity data associated with a tire, and the system can be configured to determine various indicators of tire health based on the linear acceleration data and angular velocity data. The system can be configured to determine a distance between the IMU and an outer rolling surface of the tire. The system can be configured to monitor changes in this distance over time, which can be indicative of tread wear over time. Accordingly, the system can be configured to monitor change in the tread depth over time such that the system is configured to monitor tread depth of the tire.

Abstract: Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.

Abstract: Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.

Abstract: Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.

Abstract: Illustrated is a system and method for executing a checkpoint scheme as part of processing a workload using an application. The system and method also includes identifying a checkpoint event that requires an additional checkpoint scheme. The system and method includes retrieving checkpoint data associated with the checkpoint event. It also includes building a checkpoint model based upon the checkpoint data. The system and method further includes identifying the additional checkpoint scheme, based upon the checkpoint model, the additional checkpoint scheme to be executed as part of the processing of the workload using the application.

Abstract: Illustrated is a system and method for executing a checkpoint scheme as part of processing a workload using an application. The system and method also includes identifying a checkpoint event that requires an additional checkpoint scheme. The system and method includes retrieving checkpoint data associated with the checkpoint event. It also includes building a checkpoint model based upon the checkpoint data. The system and method further includes identifying the additional checkpoint scheme, based upon the checkpoint model, the additional checkpoint scheme to be executed as part of the processing of the workload using the application.

Abstract: A method and apparatus for transparent failover of a filesystem within a computer cluster is provided. For failover protection, a filesystem is physically connected to an active server node and a standby server node. A cluster file system provides distributed access to the filesystem throughout the computer cluster. The cluster file system monitors the progress of each operation performed on the failover protected filesystem. If the active server node should fail during an operation, all processes performing operations on the failover protected filesystem are caused to sleep. The filesystem is then relocated to the standby server node. The cluster file system then awakens each sleeping process and retries each pending operation.

Abstract: A method and apparatus for transparent failover of a filesystem within a computer cluster is provided. For failover protection, a filesystem is physically connected to an active server node and a standby server node. A cluster file system provides distributed access to the filesystem throughout the computer cluster. The cluster file system monitors the progress of each operation performed on the failover protected filesystem. If the active server node should fail during an operation, all processes performing operations on the failover protected filesystem are caused to sleep. The filesystem is then relocated to the standby server node. The cluster file system then awakens each sleeping process and retries each pending operation.

Abstract: A system for protection of filesystem data integrity within a computer cluster is provided. The system uses redundant data caches at client and server nodes within the computer cluster. Caching of filesystem data is controlled so that non-shared files are preferably cached at client nodes. This increases filesystem performance within the computer cluster and ensures that failures may not result in a loss of modified filesystem data without a corresponding loss to the process(es) accessing that data. Shared files are cached at the server node and a backup cache node. This protects modified filesystem data against any single node failure.

Abstract: A system for recovery of process relationships following node failure within a computer cluster is provided. For relationship recovery, each node maintains set of care relationships. Each relationship is of the form carer cares about care target. Care relationships describe process relations such as parent-child or group leader-group member. Care relationships are stored at the origin node of their care targets. Following node failure, a surrogate origin node is selected. The surviving nodes then cooperate to rebuild vproc structures and care relationships for the processes that originated at the failed node at the surrogate origin node. The surviving nodes then determine which of their own care targets were terminated by the node failure. For each terminated care targets, notifications are sent to the appropriate carers. This allows surviving processes to correctly recover from severed process relationships.

Abstract: A digital computer comprising a plurality of message generating nodes interconnected by a routing network. The routing network transfers messages among the message generating elements in accordance with address information identifying a destination message generating element. Each message generating node includes a message data generator and a network interface. The message data generator generates message data items each including an address data portion comprising a destination identifier. The network interface includes a message generator and an address translation table, the table including a plurality of entries identifying, for at least one destination identifier, a translated destination identifier. The message generator, in response to the receipt of a message data item from the message data generator, generates a message for transmission to the routing network.