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: A personal data platform is disclosed that provides users with control over their personal data. The data is stored on private infrastructure. Data is ingested from data sources and stored at the data platform. The data platform provides compute services that allow services to execute against the data to generate inferences without transmitting the data to a service provider. A user is also able to authorize access to data at multiple levels with service providers and others.

Abstract: In a multi-cloud computing environment comprising a plurality of cloud platforms across which an enterprise stores primary data and copies of the primary data, a method maintains a distributed ledger system with a plurality of nodes, wherein a given one of the plurality of cloud platforms is operatively coupled to a given one of the plurality of nodes of the distributed ledger system. Further, the method manages capacity planning and data placement for the primary data and the copies of the primary data in association with the distributed ledger system by storing transaction data in the distributed ledger system that represents at least one of one or more pricing models associated with each cloud platform and one or more regulatory policies associated with each cloud platform to enable an environment-wide view of at least one of the pricing models and the regulatory policies of the plurality of cloud platforms.

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.

Abstract: A software and/or data mobility platform. The mobility of software and data in an edge network is achieved by loading software and/or data on an edge node. The software and data are replicated or migrated to neighbor nodes and prepared for the device when the device switches nodes. As the device switched nodes, clean up or mobility operations are performed by replicating or migrating the software/data to new neighbor nodes and deleting or removing the software/data from nodes that are no longer considered to be neighbor nodes. The software is typically deployed to the mobility platform rather than directly to the nodes to allow developers to focus on their application rather than on the mobility of the application.

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 transmitting a request for a container image to a registry, receiving metadata associated with the container image, wherein the metadata allows a controller to mount an empty filesystem on a host machine, starting a container from the container image without receiving all files associated with the container image, receiving files, from a container server, needed by the container based on an access sequence associated with the container. This allows a container to be started without downloading the entire container image and also conversed bandwidth by providing the files as needed based on the manner in which the container accesses files during execution.

Abstract: A software and/or data mobility platform. The mobility of software and data in an edge network is achieved by loading software and/or data on an edge node. The software and data are replicated or migrated to neighbor nodes and prepared for the device when the device switches nodes. As the device switched nodes, clean up or mobility operations are performed by replicating or migrating the software/data to new neighbor nodes and deleting or removing the software/data from nodes that are no longer considered to be neighbor nodes. The software is typically deployed to the mobility platform rather than directly to the nodes to allow developers to focus on their application rather than on the mobility of the application.

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 function execution environment selection for a decomposed application are provided. In one 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 one or more portions of marked code, receive a request for execution of one of the one or more portions of marked code, decide whether to execute the portion of marked code identified in the request in the first virtual computing element or in a second virtual computing element, determine an execution environment from one or more execution environments specified in the marked code for the second virtual computing element to execute the marked code, when it is decided to execute the portion of the marked code in the second virtual computing element, and cause the portion of marked code identified in the request to be executed.

Abstract: In a cloud computing environment associated with an enterprise comprising one or more cloud platforms with one or more respective data protection ecosystems, a method maintains a distributed ledger system with a plurality of nodes, wherein a given one of the data protection ecosystems is operatively coupled to a given one of the plurality of nodes of the distributed ledger system. Further, the method manages one or more data sets processed by the one or more data protection ecosystems in association with the distributed ledger system, wherein managing comprises storing transaction data associated with the processing of the one or more data sets on the distributed ledger system to enable an environment-wide view of the stored transaction data.

Abstract: In an information processing system comprising a set of computing devices wherein each computing device comprises a set of persistent memory modules resident in the computing device, and wherein one or more data structures associate one or more application programs executing on the set of computing devices with one or more memory regions of the set of persistent memory modules such that the one or more data structures are utilized to route data between a given one of the application programs and at least one memory region, maintaining a distributed ledger system with a plurality of nodes, wherein the set of computing devices is operatively coupled to the plurality of nodes of the distributed ledger system, and managing one or more data access requests by a given application program to a memory region of a persistent memory module in consultation with the distributed ledger system.

Abstract: A scheduler module receives a first allocation request for a given amount of a resource in a cloud computing platform that an application program currently needs. The scheduler module allocates the given amount of the resource to the application program for a first time slot. The given amount of allocated resource is received back at the scheduler module upon expiration of the first time slot for subsequent allocation. The scheduler module receives a second allocation request for a given amount of a resource that an application program currently needs. The scheduler module allocates the given amount of the resource to the application program for a second time slot. The given amount of allocated resource is received back at the scheduler module upon expiration of the second time slot for subsequent allocation.

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: At least one performance metric is monitored in an information processing system to detect a performance event substantially contemporaneous with the occurrence of the event, wherein monitoring of the performance metric is performed in a continuous manner. At least a portion of the information processing system is profiled in response to detection of a performance event, wherein the profiling step obtains a performance snapshot of the portion of the information processing system being profiled. The performance snapshot is analyzed to determine a root cause of the performance event within the information processing system.

Abstract: An apparatus in one embodiment comprises a plurality of container host devices of at least one processing platform. The container host devices implement a plurality of containers for executing applications on behalf of one or more tenants of cloud infrastructure. The containers are separated into at least first and second distinct container groups based at least in part on results of comparisons of layer structures each characterizing container images of respective different ones of the containers. At least one grouping-based container management action is determined for at least one of the containers based at least in part on which of the container groups includes that container. The grouping-based container management action is applied to one or more of the containers of one of the first and second container groups but not to the containers of the other of the first and second container groups.

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: In a method of tiering data in a computing environment, data service status information is obtained at a first storage environment regarding a data service operation performed on one or more data sets that qualify for storage at a second storage environment based on a given policy, and, based on the obtained data service status information, a determination is made to store the one or more data sets at the second storage environment without performing a reverse operation of the data service operation on the one or more data sets.

Abstract: In a cloud computing environment comprising a plurality of cloud platforms within which an enterprise can store at least one data set, the method maintains a distributed ledger system with a plurality of nodes, wherein a given one of the plurality of cloud platforms is operatively coupled to a given one of the plurality of nodes of the distributed ledger system. Further, the method manages data compliance for the at least one data set in association with the distributed ledger system by storing transaction data in the distributed ledger system that represents geographic point of origin metadata associated with the at least one data set.

Abstract: A computing system is monitored by collecting monitoring information from two or more different monitoring tools associated with respective portions of the computing system, where the monitoring tools having different information collection capabilities associated therewith. The monitoring information received from the different monitoring tools is consolidated in a unified data store. The unified data store is utilized to perform analytics relating to inter-dependencies of storage, compute and networking components of the computing system managed by different ones of the monitoring tools. The analytics results are presented utilizing a monitoring dashboard.