Abstract: Parallel quantum circuit execution is disclosed. When executing a quantum circuit, runtime characteristics of multiple quantum processing units are predicted and some of the quantum processing units are selected. The quantum circuit is executed in parallel at the selected quantum processing units.

Abstract: One example method includes dynamically selecting a quantum processing unit. During execution of a hybrid application, a quantum execution bundle is processed to identify characteristics that are used to select an optimal quantum processing unit. For each iteration, the optimal quantum processing unit can be dynamically selected and inserted into the execution.

Abstract: Label inheritance techniques are disclosed for soft label generation in an information processing system that uses machine learning. For example, a method generates at least one label for a given data instance from a training data set useable to train a machine learning-based model. The at least one label is generated by assigning one or more labels associated with one or more ancestors of the data instance such that the data instance inherits the one or more labels associated with the one or more ancestors as the at least one label.

Abstract: One example method includes identifying an IO event comprising an IO made by a customer against a service hosted at an XaaS platform, and the IO event is associated with IO event metadata generated by the service, associating the IO event metadata with a billable customer operation, analyzing the IO event metadata and, based on the analyzing, associating the IO event with the customer, and generating a customer bill based on the associating of the IO event metadata with the billable customer operation, and based on the associating of the IO event with the customer.

Abstract: One example method includes performing learning management. A learning management system receives student related input including sensor data, profile data, and learning history. The learning management measures student interest levels, student engagement levels, and learning effectiveness. Educators view the measurements in real-time and are able to adapt to the real-time student statuses and measurements.

Abstract: Techniques for integrating a trusted execution platform with a function-based service framework are disclosed. For example, a method obtains an application program comprising a first set of one or more functions for execution within a secure execution area of a function-based service framework and a second set of one or more functions for execution within a non-secure execution area of the function-based service framework. A client attests an attestation delegator and the attestation delegator attests one or more secure containers prior to receipt of a function execution request to execute a function in the function-based service framework.

Abstract: Techniques are disclosed for generating a virtual representation (e.g., one or more digital twin models) of a multi-access edge computing system environment, and managing the multi-access edge computing system environment via the virtual representation. By way of example only, such techniques enable understanding, prediction and/or optimization of performance of applications and/or systems operating in the multi-access edge computing environment.

Abstract: One example method includes receiving, from a microservice, a service request that identifies a service needed by the microservice, and an API of an endpoint that provides the service, evaluating the service request to determine whether the service request conforms to a policy, when the service request has been determined to conform with the policy, evaluating the endpoint to determine if endpoint performance meets established guidelines, and when it is determined that the endpoint performance does not meet the established guidelines, identifying an alternative endpoint that meets the established guidelines and that provides the requested service. Next, the method includes transforming the API of the service identified in the service request to an alternative API of the service provided by the alternative endpoint, and sending the service request and the alternative API to the alternative endpoint.

Abstract: One example method includes performing dynamic access control in a computing network. A computing environment is configured such that an application can access a service without specifying secrets. The secrets needed to access the service are obtained and stored in a credential store. The secrets can be obtained using the service mesh in a manner that isolates the application from the secrets.

Abstract: Techniques are disclosed for generating a virtual representation (e.g., one or more digital twin models) of a multi-access edge computing system environment, and managing the multi-access edge computing system environment via the virtual representation. By way of example only, such techniques enable understanding, prediction and/or optimization of performance of applications and/or systems operating in the multi-access edge computing environment.

Abstract: An apparatus comprises a first processing device, the first processing device comprising a physical hardware controller configured for coupling with a second processing device. The first processing device is configured to identify one or more remote multimedia service instances attached to the second processing device and to initiate, at the first processing device, one or more multimedia emulation modules for the remote multimedia service instances attached to the second processing device, the multimedia emulation modules emulating one or more physical multimedia input devices configured for attachment to the second processing device.

Abstract: One example method includes evaluating code of a quantum circuit, estimating one or more runtime statistics concerning the code, generating a recommendation based on the one or more runtime statistics, and the recommendation identifies one or more resources recommended to be used to execute the quantum circuit, checking availability of the resources for executing the quantum circuit, allocating resources, when available, sufficient to execute the quantum circuit, and using the allocated resources to execute the quantum circuit.

Abstract: Techniques for training data protection in an artificial intelligence model execution environment are disclosed. For example, a method comprises executing a first partition of an artificial intelligence model within a secure execution area of an information processing system and a second partition of the artificial intelligence model within a non-secure execution area of the information processing system, wherein data at least one of obtained and processed in the first partition of the artificial intelligence model is inaccessible to the second partition of the artificial intelligence model. Communication between the first partition and the second partition may be enabled via a model parallelism-based procedure. Data obtained in the secure execution area may comprise one or more data samples in an encrypted form usable to train the artificial intelligence model.

Abstract: Techniques are disclosed for generating a virtual representation (e.g., one or more digital twin models) of an internet-connected device computing environment, and managing the internet-connected device computing environment via the virtual representation. By way of example only, such techniques enable understanding, prediction and/or optimization of performance of applications and/or systems operating in the internet-connected device computing environment.

Abstract: One example method includes receiving, from a microservice, a service request that identifies a service needed by the microservice, and an API of an endpoint that provides the service, evaluating the service request to determine whether the service request conforms to a policy, when the service request has been determined to conform with the policy, evaluating the endpoint to determine if endpoint performance meets established guidelines, and when it is determined that the endpoint performance does not meet the established guidelines, identifying an alternative endpoint that meets the established guidelines and that provides the requested service. Next, the method includes transforming the API of the service identified in the service request to an alternative API of the service provided by the alternative endpoint, and sending the service request and the alternative API to the alternative endpoint.

Abstract: A first set of values for a set of metrics is obtained. A given metric of the set of metrics monitors a given component of a set of components of a computing system. The first set of values is obtained during a period of expected behavior of the computing system. One or more correlations are determined between values of the first set of values to establish one or more expected correlations between values of two or more metrics. A second set of values for the set of metrics is obtained. A determination is made as to whether values of the second set of values maintain the one or more expected correlations determined based on the first set of values.

Abstract: One example method, which may be performed at an end device configured to communicate with an edge station, includes listening for a broadcast signal from the edge station, joining a broadcast channel, receiving edge station information, selecting an edge station, transmitting a manifest to the selected edge station, receiving route information from the selected edge station, accessing a container identified in the route information, and issuing a call to the selected edge station to execute an application workload on the container.

Abstract: Techniques for dynamic application management are provided. For example, an apparatus comprises at least one processing platform configured to: execute a portion of an application program in a first virtual computing element, wherein the application program comprises at least one portion of marked code; receive a request for execution of the portion of marked code; determine, based at least in part on the portion of marked code, one or more cloud platforms on which to execute the portion of marked code; and cause the portion of marked code identified in the request to be executed on the one or more cloud platforms.

Abstract: One example method includes performing a secure boot of hardware at a node of a data confidence fabric, creating an artifact that includes information concerning the secure boot, storing the artifact, receiving a data stream at the node, annotating data of the data stream with trust metadata, and associating the artifact with the data. An immutable ledger entry may be created that includes a pointer to the data, and a pointer to the artifact, and the immutable ledger entry may be accessible by an application.

Abstract: A checkpoint server for containers is disclosed. The checkpoint server generates checkpoint images of running containers or of warmed-up containers. These checkpoint images are restored such that the order in which memory pages are accessed can be recorded or logged. During a restore operation to a host, the memory pages are transmitted in accordance with the page order log. The container can then begin serving requests before all of the memory pages have been transmitted to the host.