Techniques for distribution of application logic in digital networks are disclosed. In one embodiment, the techniques may be realized as a method that includes receiving a request from a first device to initiate a service instance associated with a service. The service instance is associated with application logic. The method further includes determining one or more parameters associated with the request, identifying at least a portion of the application logic to distribute to a mobile edge server based on the one or more parameters, and distributing the at least a portion of the application logic to the mobile edge server to cause the mobile edge server to provide the service instance to the first device.

The disclosure describes systems and methods for minimizing latency for users accessing services hosted on a cloud-computing system. A service of the cloud-computing system periodically queries edge sites of the cloud-computing system for information regarding containers stored on the edge sites. In response to the queries, the edge sites provide information identifying containers hosted on the edge sites, prefixes that the containers service, and connection locations where traffic from the prefixes enter the cloud-computing system. The service may determine whether the connection locations have changed. If a connection location for a prefix has changed, the service modifies a location of a container servicing the prefix. The service may migrate the container to a current connection location for the prefix. Modifying the location may reduce latency experienced by users behind the prefix.

A database management system receives a user request for provisioning a database, autonomously selects a datacenter for provisioning the database based at least on a first pre-defined rule, autonomously selects at least one cluster in the datacenter based at least on a second pre-defined rule, determines a network location of each of the at least one cluster, and provisions the database on each of the at least one cluster using the network location of each of the at least one cluster.

Centralizing provision of quantum core services (QCSs) is disclosed herein. In one example, a first processor device of a first quantum computing device is to receive, from a second quantum computing device, QCS metadata for a second QCS of the second quantum computing device. The first processor device is further to instruct the second quantum computing device to forward a service request directed to the second QCS of the second quantum computing device to the first quantum computing device. The first processor device initializes a first QCS of the first quantum computing device using the QCS metadata. The first processor device subsequently receives the service request from the second quantum computing device, and services the service request using the first QCS.

There is provided a method performed by an entity for handling execution of functions in a function-as-a-service (FaaS) system. The FaaS system includes one or more nodes on which functions are executable. The method includes grouping functions into a group of functions to be executed on a single one of the one or more nodes. The grouping is based on information from the one or more nodes. The information is indicative of which functions access which data during execution of the functions and each function of the group accesses the same data as at least one other function of the group.

The present disclosure provides systems and methods for user interaction and task completion using multiple devices. A set of devices may be used to perform a task, such that different devices may perform different steps of the task. A device management service may update state information at each device of the set, thereby enabling a user to interact with any of the computing devices to perform the task. A device management service may also automatically determine which device should be used by the user, based on task or step requirements, device characteristics, and device capabilities, among other examples. Thus, rather than being required to continue a task on the same device (even when the device is not well-suited for the current step or task), the user is provided with the option to use and, in some instances, is automatically transitioned to use, different devices within the set.

A method for load balancing application requests across a multi-cluster container orchestration system includes receiving a load-balancing configuration for a multi-cluster service managing access to a set of destination clusters hosting a software application deployed by a user. The multi-cluster service uses the load-balancing configuration to load balance application level traffic across the set of destination clusters. Each destination cluster includes at least one container executing the software application and a respective geographical region. The method also includes receiving an application level request directed toward the software application hosted across the destination clusters. The application level request is received from a client and includes a host name and a geographical location associated with the client. The method also includes routing the request to one of the clusters based on the geographical location of the request and the respective geographical locations of the clusters.

Providing a virtual machine includes receiving a first request from a first client device, the request comprising information related to accessing one of a plurality of virtual machines, wherein the first client device is associated with a user; and also receiving a first location of the first client device. The method also includes stopping an existing virtual machine, from among the plurality of virtual machines, that is currently executing that is associated with the user; and based on the first location of the first client device, providing a first virtual machine, from among the plurality of virtual machines, to the first client device. At any given time instant there will be only one virtual machine running for a user in hypervisor memory and that one virtual machine is based on a current location of that user.

Aspects involve an apparatus, device, systems, and methods for instantiating and operating a cloudless infrastructure of computing devices that communicate peer-to-peer and mostly off-grid (or otherwise without communicating through a conventional centralized network) to share resources, access, and provide services and applications, store and access data and other information, and the like. The systems may provide services to connecting computing devices, such as user devices, personal computing devices, mobile devices, laptops, personal computers, Internet of Things (IoT) devices etc., in communication with one or more of the nodes of the infrastructure. The infrastructure exchanges or manages communications, transactions, and/or data in a cloudless and/or decentralized environment to freely exchange information between the nodes to allow the infrastructure to scale in response to client demands, adapt the infrastructure to a failed node with minimal impact on connected computing devices, and provide robust security to customer information, communications, and devices.

An approach for providing mashup service of component services is described. A mashup service platform determines one or more component services available to at least one device. The mashup service platform also determines at least one mashup service based, at least in part, on a combination of the one or more component services. The mashup service platform further cause, at least in part, a generation of at least one mashup agent for interfacing with the at least one mashup service, the one or more component services, or a combination thereof.