A method includes: acquiring, based on status information, a failure risk of each of a plurality of devices including physical devices and virtual machines, each of the virtual machines being operated on any of the physical devices, the status information indicating the statuses of the plurality of devices; acquiring an influence range based on route information indicating a link in a range affected by a failure; acquiring a first influence risk based on a failure risk acquired for a first device, the first physical device being any of the physical devices; acquiring a second influence risk based on a failure risk of a second device, the second influence risk indicating a possibility of a target device being affected by a failure in another device; and determining the second physical devices as a destination candidate of the target device when the second influence risk is lower than the first influence risk.

According to examples, an apparatus may include a processor and a memory on which is stored machine-readable instructions that when executed by the processor, may cause the processor to identify configuration information to be used by an on-premise access management service to provide authentication services to applications by users. The processor may also transform the identified configuration information into a transformed set of configuration information to be used by a cloud-based access management service to provide authentication services to the applications by users. In addition, the processor may store the transformed set of configuration information for use by the cloud-based access management service to provide authentication services to the applications by users to migrate authentication of the users from the on-premise access management service to the cloud-based access management service.

Various embodiments comprise systems, methods, architectures, mechanisms and apparatus for migrating microservices supporting application requests in a production environment from an existing data source to a new data source in a manner tending to avoid applications or customers experiencing unexpected or undesirable results of microservices request processing. A second production environment mirroring relevant portions of the production environment and including microservices instantiated thereat coupled to a new data source processes microservices requests in parallel with production environment microservices coupled to an existing data source, the microservices of both environments generate output data, state information and the like, which is correlated to verify correct operation between the existing and new data sources.

An embodiment includes issuing an indication that a thread is a time-critical thread. The embodiment initiates an active partition migration, from a source server to a destination server, of a source partition on which the program is stored. The embodiment stores, during the migration, records of locations of pages in memory referenced by the time-critical thread. The embodiment detects that a migration threshold has been reached, indicative of a threshold portion of the migration being complete. Responsive to detecting the migration threshold, the embodiment performs a priority migration of the time-critical thread. The priority migration includes suspending execution of the time-critical thread at the source server, retrieving the records of the locations of the pages in memory referenced by the time-critical thread, and issuing a command to transfer content from the pages to the destination server. The embodiment also includes issuing a migration command to complete the migration.

The present disclosure relates to a method, a device, and a program product for managing a computing system. In a method, a current state and a plurality of historical states of a computing device in a computing system are acquired, the plurality of historical states respectively describing historical states of the computing device in the computing system at a plurality of historical time points. In response to determining that the current state matches a scheduling type for scheduling the computing device, the plurality of historical states are searched for a historical state matching the current state. A historical scheduling policy associated with the historical state is determined. Based on the historical scheduling policy, a computing task to be executed by the computing device is allocated to at least one other computing device in the computing system.

Methods, computer program products, and/or systems are provided that perform the following operations: identifying, in an environment that includes a plurality of edge clusters of edge nodes, a first edge cluster having a resource gap; broadcasting a resource requirement of the first edge cluster to other edge clusters in the plurality; obtaining resource commitments from one or more of the other edge clusters; selecting edge cluster resources from the one or more of the other edge clusters based, at least in part, on the resource commitments; and creating a new cluster including the first edge cluster and the selected edge cluster resources.

Adaptive control of deadline-constrained workload migrations can include monitoring migrations of workloads forming a wave migrating from a source computing node to a target computing node. The monitoring can be performed in real time. The migrations can be performed by transferring image replications of each workload over a data communication network. Based on an expected bandwidth availability, a likelihood that a cutover deadline associated with the wave is exceeded prior to completing a migration of each of the wave's workloads can be predicted. Migration of one or more selected workloads can be suspended in response to determining that exceeding the cutover deadline prior to completing migration of each of the wave's workloads is likely.

interface circuitry to detect a request to obtain a resource request from a workload and processor circuitry including one or more of: at least one of a central processing unit, a graphic processing unit or a digital signal processor, the at least one of the central processing unit, the graphic processing unit or the digital signal processor having control circuitry, arithmetic and logic circuitry, and one or more registers, the processor circuitry to execute instructions to: determine if resources are available for the workload on an infrastructure processing unit managed system; negotiate with the infrastructure processing unit to determine if an executing workload can be migrated; in response to determining that an executing workload can be migrated, cause the executing workload to be migrated; and cause the workload to execute on the resource.

Technologies for providing efficient migration of services include a server device. The server device includes compute engine circuitry to execute a set of services on behalf of a terminal device and migration accelerator circuitry. The migration accelerator circuitry is to determine whether execution of the services is to be migrated from an edge station in which the present server device is located to a second edge station in which a second server device is located, determine a prioritization of the services executed by the server device, and send, in response to a determination that the services are to be migrated and as a function of the determined prioritization, data utilized by each service to the second server device of the second edge station to migrate the services. Other embodiments are also described and claimed.

This document relates to orchestration and scheduling of services. One example method involves obtaining dependency information for an application. The dependency information can represent data dependencies between individual services of the application. The example method can also involve identifying runtime characteristics of the individual services and performing automated orchestration of the individual services into one or more application processes based at least on the dependency information and the runtime characteristics.