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: A peer container filesystem is provided. The peer container filesystem allows peer nodes to share containers. The peer container filesystem allows the images or portions thereof to be shared without a container registry. A node send requests to the network that are configured to push or distribute an image in the network, search for an image in the network, download an image in the network, and perform updates amongst the peer nodes such that the locations of images and/or their files are known to at least some of the peers in the network.

Abstract: One example method includes configuring an input device based in part on a type of network with which the input device is expected to be used, configuring an output device based in part on a type of network with which the output device is expected to be used, registering the input device and the output device with an orchestrator, downloading a service needed to process a data stream generated by the input device, configuring an execution pipeline, and the execution pipeline includes the service, receiving the data stream from the input device and processing the data stream with the execution pipeline, and transmitting information relating to the processed data stream to the output device.

Abstract: A method for managing data includes obtaining, by a database proxy server, a document manifest, wherein the document manifest specifies a plurality of queries, wherein each of the plurality of queries specifies data and a policy to be implemented on the data, wherein the data is stored in a central database, and processing the plurality of queries.

Abstract: A resource usage platform is disclosed. The platform performs preemptive container load balancing, auto scaling, and placement in a computing system. Resource usage data is collected from containers and used to train a model that generates inferences regarding resource usage. The resource usage operations are performed based on the inferences and on environment data such as available resources, service needs, and hardware requirements.

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: An auction house for selling or auctioning, to consumers, private infrastructure that is configured for use as an edge station or a cloud-native cluster. The private infrastructure is configured for use in edge computing and is listed with the auction house. Bidding is performed and a winning bidder is awarded with the use of the private infrastructure. When listing, the hardware and/or other aspects of the private infrastructure are verified and the winning bidder receives a digital key that enables the winning bidder to use the private infrastructure in accordance with the auction and/or in accordance with a pricing model associated with the private infrastructure.

Abstract: One example method includes configuring an input device based in part on a type of network with which the input device is expected to be used, configuring an output device based in part on a type of network with which the output device is expected to be used, registering the input device and the output device with an orchestrator, downloading a service needed to process a data stream generated by the input device, configuring an execution pipeline, and the execution pipeline includes the service, receiving the data stream from the input device and processing the data stream with the execution pipeline, and transmitting information relating to the processed data stream to the output device.

Abstract: Cloud-native clusters are disclosed and configured to for an edge cloud. The edge cloud includes using private infrastructure to include edge stations that are configured to perform cloud-native applications. The edge stations are geographically closer to end users and end user devices.

Abstract: A peer container filesystem is provided. The peer container filesystem allows peer nodes to share containers. The peer container filesystem allows the images or portions thereof to be shared without a container registry. A node send requests to the network that are configured to push or distribute an image in the network, search for an image in the network, download an image in the network, and perform updates amongst the peer nodes such that the locations of images and/or their files are known to at least some of the peers in the network.

Abstract: One example method includes connecting to a server component, transmitting, to the server component, information concerning a hardware configuration associated with an asset having a capability that is fully utilized during a first time period and the capability is idle during a second time period, receiving, from the server component, cluster connection information, and using the cluster connection information to temporarily connect the asset to the cluster as a node of the cluster so that the capability is available during idle time to perform a workload of the cluster.

Abstract: A data exchange platform is disclosed that allows users to share personal data in a controlled manner. An auction house allows data consumers and users to submit policies and dataset metadata. The auction house can automatically identify matches between the data consumers and the users. For accepted matches, the data is shared as specified in the relevant policies. Users retain control over their data and are able to share data as desired. Users also receive rewards for use of their data.

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: 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: A method includes identifying a first event that has been at least partly performed, wherein the first event comprises an element of a sequence of events, and the first event comprises performance of a first computing function, predicting a second event expected to occur next in the sequence after completion of the first event, and the second event comprises performance of a second computing function, predicting a start time of the second event, based on information about the second event, identifying a particular container capable of implementing the second computing function associated with the second event, predicting a start time for start-up of the container, starting up the container, and completing start-up of the container prior to receipt of a request for the second computing function to be performed by the container, wherein the container is ready to perform the second computing function immediately after start-up has been completed.

Abstract: Cloud-native clusters are disclosed and configured to for an edge cloud. The edge cloud includes using private infrastructure to include edge stations that are configured to perform cloud-native applications. The edge stations are geographically closer to end users and end user devices.

Abstract: An auction house for selling or auctioning, to consumers, private infrastructure that is configured for use as an edge station or a cloud-native cluster. The private infrastructure is configured for use in edge computing and is listed with the auction house. Bidding is performed and a winning bidder is awarded with the use of the private infrastructure. When listing, the hardware and/or other aspects of the private infrastructure are verified and the winning bidder receives a digital key that enables the winning bidder to use the private infrastructure in accordance with the auction and/or in accordance with a pricing model associated with the private infrastructure.

Abstract: One example method includes connecting to a server component, transmitting, to the server component, information concerning a hardware configuration associated with an asset having a capability that is fully utilized during a first time period and the capability is idle during a second time period, receiving, from the server component, cluster connection information, and using the cluster connection information to temporarily connect the asset to the cluster as a node of the cluster so that the capability is available during idle time to perform a workload of the cluster.

Abstract: One example method includes creating a manifest that specifies one or more requirements concerning execution of an application that resides at an end device in an N-tier configuration, identifying a workload that is associated with the application and executable at one or more edge stations of the N-tier configuration, gathering and evaluating network telemetry, orchestrating the workload based on the network telemetry and the manifest, scheduling performance of the workload at the one or more edge stations, and performing the workload at the one or more edge stations in accordance with the scheduling.