Abstract: Techniques for adaptive sleep virtual machine management are described. A service of a provider network receives a parameter indicating that a first virtual machine can be slept and determines to sleep the first virtual machine based at least in part on the parameter. A state of the first virtual machine is captured, and the first virtual machine is terminated. The service determines to resume the captured state of the first virtual machine based at least in part on an indication. A second virtual machine is launched using the captured state of the first virtual machine and resumes execution of the captured state of the first virtual machine. A proxy server sends traffic to the first virtual machine before the termination of the first virtual machine and to the second virtual machine after the resumption of execution of the captured state of the first virtual machine by the second virtual machine.

Abstract: Techniques for a distributed data processing application service in a cloud provider network are described. A virtual machine bundle is obtained, the virtual machine bundle including a copy of a memory and one or more registers of a paused virtual machine executing a distributed data processing application runtime. A request to launch a virtual machine to execute a distributed data processing application runtime is received, the request to launch the virtual machine including a bundle identifier that identifies the virtual machine bundle. The virtual machine is launched based at least in part on the virtual machine bundle. The virtual machine sends a message to register the virtual machine with a cluster of virtual machines.

Abstract: Various embodiments of the present disclosure disclose machine-learning based evaluation techniques for detecting feature bias. An evaluation framework is provided that utilizes new evaluation data structures for comprehensibly evaluating feature bias in machine learning models. The evaluation framework includes receiving evaluation dataset for a machine learning model that includes one or more different feature classes of an evaluation feature. The evaluation framework includes generating, using an evaluation function, at least two performance metrics for the machine learning model and generating a unitless dissimilarity metric for the evaluation feature based at least in part on the first performance metric, the second performance metric, and an average between the first and second performance metrics. In this way, the unitless dissimilarity metric is based on a variability associated with the evaluation feature.

Abstract: Various embodiments of the present disclosure disclose machine-learning based evaluation techniques for detecting feature bias. An evaluation framework is provided that utilizes new evaluation data structures for comprehensibly evaluating feature bias in machine learning models. The evaluation framework includes receiving evaluation dataset for a machine learning model that includes one or more different feature classes of an evaluation feature. The evaluation framework includes generating, using an evaluation function, at least two performance metrics for the machine learning model and generating a unitless dissimilarity metric for the evaluation feature based at least in part on the first performance metric, the second performance metric, and an average between the first and second performance metrics. In this way, the unitless dissimilarity metric is based on a variability associated with the evaluation feature.

Abstract: A multi-framework blockchain service may be implemented with a common interface to manage different types of blockchain networks. Requests to create a blockchain network may be received via an interface for the control plane that triggers the creation of the blockchain network according to an identified workflow. Various operations to change the blockchain network, including membership changes, node additions, governance changes, analytics changes, and monitoring changes may be allowed or denied by the control plane according to a distributed governance policy in effect for the blockchain network.

Abstract: Techniques for a distributed data processing application service in a cloud provider network are described. A virtual machine bundle is obtained, the virtual machine bundle including a copy of a memory and one or more registers of a paused virtual machine executing a distributed data processing application runtime. A request to launch a virtual machine to execute a distributed data processing application runtime is received, the request to launch the virtual machine including a bundle identifier that identifies the virtual machine bundle. The virtual machine is launched based at least in part on the virtual machine bundle. The virtual machine sends a message to register the virtual machine with a cluster of virtual machines.

Abstract: Techniques are described for an interactive query service that enables users to query data stored at a federated collection of data sources. An interactive query service provides interfaces that enable users to configure the interactive query service to query any number of heterogeneous data sources pertinent to a user. In general, the configuration of a data source can include identification of: a data source type, access configurations related to accessing the data source, and in some cases metadata describing a structure of the data stored by the data source (for example, a data catalog describing schemas, tables, columns, partitions, datatypes, or other metadata associated with the stored data). Once configured, an interactive query service can receive and execute queries that involve data stored at any combination of a user's data sources, where the queries may be expressed using a standard query language such as the Structured Query Language (SQL).

Abstract: Techniques are described for an interactive query service that enables users to query data stored at a federated collection of data sources. An interactive query service provides interfaces that enable users to configure the interactive query service to query any number of heterogeneous data sources pertinent to a user. In general, the configuration of a data source can include identification of: a data source type, access configurations related to accessing the data source, and in some cases metadata describing a structure of the data stored by the data source (for example, a data catalog describing schemas, tables, columns, partitions, datatypes, or other metadata associated with the stored data). Once configured, an interactive query service can receive and execute queries that involve data stored at any combination of a user's data sources, where the queries may be expressed using a standard query language such as the Structured Query Language (SQL).

Abstract: Techniques for providing an on-demand development environment are described. A service of a provider network receives a request to launch a development environment, such as a notebook, from an electronic device. The service obtains an identification of a computing cluster hosted by the provider network. The service obtains an identification of a compute instance hosted within the provider network, the compute instance executing a software environment to host one or more development environments. The service causes the compute instance to launch a development environment. The service sends a message to configure the launched development environment to execute a computer program written in the development environment using the computing cluster. The service generates a token to secure communications between the electronic device and the development environment and sends the token to an originator of the request.

Abstract: A multi-framework blockchain service may be implemented with a common interface to manage different types of blockchain networks. Requests to create a blockchain network may be received via an interface for the control plane that triggers the creation of the blockchain network according to an identified workflow. Various operations to change the blockchain network, including membership changes, node additions, governance changes, analytics changes, and monitoring changes may be allowed or denied by the control plane according to a distributed governance policy in effect for the blockchain network.

Abstract: A cash dispensing automated banking machine (10) operative responsive to user cards and methods of operating the machine to conduct diagnostic tests is provided. The automated banking machine includes a cash dispenser and the machine carries out transaction functions for consumers including dispensing cash. Responsive to a diagnostic article a servicer interface may selectively output textual indicia included in service manuals. Servicers may also selectively conduct diagnostic activities at a servicer interface and a consumer interface on the machine.

Abstract: An automated banking machine system and method includes ATMs which accept checks and dispense cash to users. The ATMs are operated to acquire image and magnetic data from deposited checks to determine the genuineness of checks and the authority of a user to receive cash for such checks. Cash may be dispensed to the user from the ATM in exchange for the deposited check. The ATMs dispense cash responsive to communications with a transaction host. The transaction host provides transaction identifying data to the ATM. The ATM sends the transaction identifying data and check images to an image and transaction data server for processing.