Abstract: Embodiments of the technology described herein describe a machine classifier capable of continually learning new classes through a continual few-shot learning approach. A natural language processing (NLP) machine classifier may initially be trained to identify a plurality of other classes through a conventional training process. In order to learn a new class, natural-language training data for a new class is generated. The training data for the new class may be few-shot training data. The training also uses synthetic training data that represents each of the plurality of other classes. The synthetic training data may be generated through a model inversion of the original classifier. The synthetic training data and the natural-language training data are used to retrain the NLP classifier to identify text in the plurality of other classes and the new class using.

Abstract: Provisioning a cloud based high performance computing cluster. The method includes from a cloud based provisioning service deployed in a cloud based computing provider, providing a user interface. The method further includes receiving user input at the cloud based provisioning service from the user interface. The method further includes from the user input, determining a configuration for a cloud based user service for the user. Using the cloud based provisioning service, the method further includes provisioning the cloud based user service for the user, in the cloud, based on the determined configuration.

Abstract: Provisioning a cloud based high performance computing cluster. The method includes from a cloud based provisioning service deployed in a cloud based computing provider, providing a user interface. The method further includes receiving user input at the cloud based provisioning service from the user interface. The method further includes from the user input, determining a configuration for a cloud based user service for the user. Using the cloud based provisioning service, the method further includes provisioning the cloud based user service for the user, in the cloud, based on the determined configuration.

Abstract: Provisioning a cloud based high performance computing cluster. The method includes from a cloud based provisioning service deployed in a cloud based computing provider, providing a user interface. The method further includes receiving user input at the cloud based provisioning service from the user interface. The method further includes from the user input, determining a configuration for a cloud based user service for the user. Using the cloud based provisioning service, the method further includes provisioning the cloud based user service for the user, in the cloud, based on the determined configuration.

Abstract: A modeling system including a data processing device in communication with a non-transitory memory storing a model modeling interactions of resources of a distributed system. The data processing device executes instructions that cause the data processing device to implement a system monitor that monitors interactions of the resources of the distributed system and builds the model. The system monitor detects a state change of a first resource of the distributed system and identifies an entity causing the state change of the first resource. The system monitor determines whether a second resource of the distributed system changes state within a threshold period of time after the first resource changed state. The system monitor updates the model to indicate a relationship between the first resource, the second resource and the identified entity, in response to the first resource and the second resource changing state within the threshold time period.

Abstract: Provisioning a cloud based high performance computing cluster. The method includes from a cloud based provisioning service deployed in a cloud based computing provider, providing a user interface. The method further includes receiving user input at the cloud based provisioning service from the user interface. The method further includes from the user input, determining a configuration for a cloud based user service for the user. Using the cloud based provisioning service, the method further includes provisioning the cloud based user service for the user, in the cloud, based on the determined configuration.

Abstract: Provisioning a cloud based high performance computing cluster. The method includes from a cloud based provisioning service deployed in a cloud based computing provider, providing a user interface. The method further includes receiving user input at the cloud based provisioning service from the user interface. The method further includes from the user input, determining a configuration for a cloud based user service for the user. Using the cloud based provisioning service, the method further includes provisioning the cloud based user service for the user, in the cloud, based on the determined configuration.

Abstract: A modeling system including a data processing device in communication with a non-transitory memory storing a model modeling interactions of resources of a distributed system. The data processing device executes instructions that cause the data processing device to implement a system monitor that monitors interactions of the resources of the distributed system and builds the model. The system monitor detects a state change of a first resource of the distributed system and identifies an entity causing the state change of the first resource. The system monitor determines whether a second resource of the distributed system changes state within a threshold period of time after the first resource changed state. The system monitor updates the model to indicate a relationship between the first resource, the second resource and the identified entity, in response to the first resource and the second resource changing state within the threshold time period.

Abstract: Provisioning a cloud based high performance computing cluster. The method includes from a cloud based provisioning service deployed in a cloud based computing provider, providing a user interface. The method further includes receiving user input at the cloud based provisioning service from the user interface. The method further includes from the user input, determining a configuration for a cloud based user service for the user. Using the cloud based provisioning service, the method further includes provisioning the cloud based user service for the user, in the cloud, based on the determined configuration.

Abstract: Methods, systems, and computer program products for REST interface for job submission are provided for use at a computing system that includes one or more clients, one or more hosting programs and a cluster that includes a plurality of schedulers. The hosting program works between the clients on different platforms and the schedulers of the cluster system. The hosting program receives requests from the clients and then submits the requests to the schedulers. The communication between the hosting program and the schedulers may be based on .Net remoting protocol. Regardless of what platform the clients use, the hosting program maintains a same user interface to all the clients and the communication between the clients and the hosting program may be based on Representational State Transfer (“REST”). In addition, the hosting program also delegates identities to the clients when it receives multiple authentications from the schedulers.

Abstract: Provisioning a cloud based high performance computing cluster. The method includes from a cloud based provisioning service deployed in a cloud based computing provider, providing a user interface. The method further includes receiving user input at the cloud based provisioning service from the user interface. The method further includes from the user input, determining a configuration for a cloud based user service for the user. Using the cloud based provisioning service, the method further includes provisioning the cloud based user service for the user, in the cloud, based on the determined configuration.

Abstract: A system is provided for employing an orchestrator to deploy and implement changes to a system. A change request may be a system build, upgrade, and patches for updating a subset of files within the system. The orchestrator may initially perform a security check and a validation check on a received change request. Upon receiving validation and approval, the change request may be deployed and propagated through a series of deployment scopes. The deployment scopes may become increasingly larger to extensively test the applied change before fully implementing the change on the target system. The orchestrator may submit the applied change to a validation component for getting validation of the change within the deployment scope after each applied change within a deployment scope. After the change request has been deployed through the deployment scopes and validated, the change request may be deployed to the target system and fully implemented.

Abstract: The present invention extends to methods, systems, and computer program products for REST interface for job submission. At a HPC cluster system, a hosting program works between the clients on different platforms and the schedulers of the cluster system. The hosting program receives requests from the clients and then submits the requests to the schedulers. The communication between the hosting program and the schedulers may be based on .Net remoting protocol. Regardless of what platform the clients use, the hosting program maintains a same user interface to all the clients and the communication between the clients and the hosting program may be based on Representational State Transfer (“REST”). In addition, the hosting program also delegates identities to the clients when it receives multiple authentications from the schedulers.

Abstract: Provisioning a cloud based high performance computing cluster. The method includes from a cloud based provisioning service deployed in a cloud based computing provider, providing a user interface. The method further includes receiving user input at the cloud based provisioning service from the user interface. The method further includes from the user input, determining a configuration for a cloud based user service for the user. Using the cloud based provisioning service, the method further includes provisioning the cloud based user service for the user, in the cloud, based on the determined configuration.