Abstract: This invention relates to compositions and methods for modifying Homologous to E6AP C-Terminus (HECT) E3 Ubiquitin Protein Ligase (UPL) genes in plants, optionally to improve yield traits. The invention further relates to plants having increased improved yield traits produced using the methods and compositions of the invention.

Abstract: Embodiments for a system and method for secure authentication of backup clients in a way that eliminates the need to create users for backup client authentication anywhere in the backup ecosystem, and which eliminates the need for credentials, such as passwords that need protection, updating and synchronization. Such embodiments use a short-term token, such as a JSON web token, for both client and server authentication within the system, and verifies that the tokens grant access using the public key corresponding to the private key assigned to the directory objects by the creator of the directory objects.

Abstract: Embodiments for simulating timing-related error conditions in a distributed system, by allowing a user to define a fault map specifying one or more faults to be committed by components in the distributed system. These generated fault events are to be executed in different components of the distributed system in a serialized distributed order. An event injection process delivers the fault map messages to the nodes in the distributed system, and the nodes then execute an operation sequence containing the fault events in the proper order as coordinated by the event injection process. The faults are then committed by the associated components in the nodes. Execution of these fault events occurs before, after or during a regular component procedure or action to simulate the desired timing-related error.

Abstract: This invention relates to compositions and methods for modifying Growth Regulating Factor (GRF) family transcription factors in soybean plants to produce soybean plants having improved pathogen resistance, optionally with improved or maintained yield traits, and/or soybean plants having improved yield traits without loss of pathogen resistance. The invention further relates to soybean plants produced using the methods and compositions of the invention.

Abstract: A method of capturing a fractional snapshot of a distributed file system includes receiving a snapshot request to generate a factional snapshot of a file system. The request includes an indication of a subset of data of the file system. The method further includes identifying, by a processing device, the subset of data of the file system indicated by the snapshot request and generating the fractional snapshot comprising the subset of data of the file system indicated by the snapshot request.

Abstract: Described is a system (and method) that intelligently distributes data within a clustered storage environment. To provide such a capability, the system may distribute backup files by considering a source of the data to be backed-up. In particular, the system may leverage the ability of front-end components such as a backup application to perform a granular data source identification of data. Such information may be propagated to back-end components such as a storage filesystem in the form of a data source identifier (e.g. placement tag). The data source identifiers may then be accessed by the clustered storage system to intelligently distribute backup files amongst a set of storage nodes forming a cluster. For example, backup files from the same data source may be stored on the same storage node to obtain the same deduplication efficiency as a single storage system.

Abstract: An intelligent method of handling incremental backups concurrent with load balancing movement. The file system uses placement tags, incremental backup requests and capacity balancing data movement to make intelligent decision to avoid affecting any backup windows for clients or backup apps. The file system tracks capacity balancing file movements inside the cluster. When switching locations of files in a cluster from one node to another, it is performed as an atomic change of switching inode attributes by the file system after the contents of the file have been copied over to the new node. During the file movement for capacity balancing, the file system handles requests for full backups differently than requests for incremental backups. The file system continues to handle virtual systhesis and fastcopy requests on the node that hosts the previous backup to ensure that the incremental backup succeeds with the expected smaller backup window from the client.

Abstract: Embodiments for enabling snapshot backups in a global name space of a cluster network, by representing the name space of cluster network in an MTree, storing data files organized in a B+ Tree format on one or more data nodes, storing name specific information of the data files in a B+ Tree format in a meta node, wherein a B+ Tree of the meta node accesses each corresponding B+ Tree in each of the one or more data nodes. The process takes snapshot backups of individual MTree limbs, and links the limbs of each snapshot into groups based on a cluster identifier and snapshot identifier.

Abstract: Disclosed herein are techniques for generating fractional checkpoints on a distributed file system by snapshotting subcomponents referred to as “file sets.” The techniques include capturing a present time; calculating from configured parameters a future wakeup time for a subsequent set of checkpoints from the present time; walking a database of meta file set objects to locate at least one meta file set object; calculating a retention period for a snapshot that is being created; and generating a global data-less snapshot for the meta file set object and remote data file set objects associated with the meta file set object, and then repeating the process for subsequent file set objects in the database.

Abstract: Some embodiments include processing data via an executable file on a monitor to reduce the dimensionality of the data being transmitted over the wireless network. The output of the executable file also encrypts the data before being transmitted wireless to a remote server. The remote server receives the transmitted data and makes likelihood inferences based on the recorded data.

Abstract: Some embodiments include processing data via an executable file on a monitor to reduce the dimensionality of the data being transmitted over the wireless network. The output of the executable file also encrypts the data before being transmitted wireless to a remote server. The remote server receives the transmitted data and makes likelihood inferences based on the recorded data.

Abstract: The present invention relates to a non-invasive cardiac monitoring device that records cardiac data to infer physiological characteristics of a human, such as cardiac arrhythmia. Some embodiments of the invention allow for long-term monitoring of physiological signals. Further embodiments allow for processing of the detected cardiac rhythm signals partially on the wearable cardiac monitor device, and partially on a remote computing system. Some embodiments include a wearable cardiac monitor device for long-term adhesion to a mammal for prolonged detection of cardiac rhythm signals.

Abstract: Embodiments for simulating timing-related error conditions in a distributed system, by allowing a user to define a fault map specifying one or more faults to be committed by components in the distributed system. These generated fault events are to be executed in different components of the distributed system in a serialized distributed order. An event injection process delivers the fault map messages to the nodes in the distributed system, and the nodes then execute an operation sequence containing the fault events in the proper order as coordinated by the event injection process. The faults are then committed by the associated components in the nodes. Execution of these fault events occurs before, after or during a regular component procedure or action to simulate the desired timing-related error.

Abstract: A method of migrating or consolidating cloud data includes generating a container on a cloud platform and receiving, at the container, source metadata identifying a set of data to be migrated from a source cloud bucket associated with a source data domain to a destination cloud bucket associated with a destination data domain. The method further includes copying, by the container, set of data from the source cloud bucket to the destination cloud bucket based on the source metadata and generating, by the container, destination metadata for the set of data as stored at the destination cloud bucket.

Abstract: A deduplicated file system includes a set of microservices including front-ends and back-ends. Assignments of files are balanced across front-ends. The files are represented by segment trees including multiple segment levels. Assignments of similarity groups are balanced across back-ends. Similarity groups are associated with segments at a lower-level of the segment trees that form the files. Front-ends are responsible for operations involving an upper-level of the trees. Back-ends are responsible for operations involving the lower-level of the trees. A mapping of file assignments to front-ends and of similarity group assignments to back-ends is stored. A request to perform a file system operation is received. The mapping is consulted to identify particular front and back-ends that should be responsible for handling and processing the request.

Abstract: A method of migrating or consolidating cloud data includes generating a container on a cloud platform and receiving, at the container, source metadata identifying a set of data to be migrated from a source cloud bucket associated with a source data domain to a destination cloud bucket associated with a destination data domain. The method further includes copying, by the container, set of data from the source cloud bucket to the destination cloud bucket based on the source metadata and generating, by the container, destination metadata for the set of data as stored at the destination cloud bucket.

Abstract: Described is a system that provides the ability to distribute backup data according to performance characteristics associated with nodes that form a clustered storage environment. For example, the clustered storage environment may organize nodes into tiers that have certain storage performance-related characteristics such as read/write latency, deduplication processing efficiency, bandwidth, etc. Accordingly, the system may associate the backup data with an identifier for an appropriate storage performance tier. The identifier may then be utilized by the clustered storage environment to redirect storage operations to a node within the appropriate storage performance tier. Thus, the system allows for the distribution of backup data to particular storage performance tiers based on particular storage or workload requirements.

Abstract: Various embodiments for testing and verifying cloud services using computational graphs. In one embodiment, a computational graph is generated that represents corresponding actions performed by a plurality of agents and data associated with the corresponding actions. The computational graph is generated based at least in part on data describing a plurality of calls to an application programming interface (API) or a static analysis of the API. A plurality of test cases are generated for the API by analyzing the computational graph.

Abstract: Disclosed are various embodiments for replicating and maintaining aggregated descriptive data for cloud services. In one embodiment, updates to descriptive data that describes a resource of a customer provided by a cloud service are received by an aggregated descriptive data service from a backend service. An aggregated descriptive data store is then updated by the aggregated descriptive data service based at least in part on the received updates.