Example methods, apparatus and articles of manufacture to migrate virtual machines are disclosed. A disclosed example method includes identifying via a processor a first virtual machine to be migrated from a first host to a second host to improve a performance of the first virtual machine, determining that a frequency threshold associated with the first virtual machine will not be exceeded if the first virtual machine is migrated, determining a reliability rating for the first virtual machine, and migrating the first virtual machine to the second host based on the frequency threshold and the reliability rating.

A mechanism is provided to detect that a dynamic migration of a virtual environment is in progress or has been executed during a hardware or software scan without requiring instrumentation of applications running within the virtual machine. The mechanism relies on a particular sequencing and usage of application programming interfaces and commands that scanning technology provides, associated with the modularity of the scans and on the external virtual machine enabler component running on the host. The mechanism may detect a dynamic migration and take proper actions based on the system configuration. The actions may include discarding the output of the scan executed across a dynamic migration and repeat the scan. The actions may also include notifying the initialization subsystem of the non-migration-safe application to execute a script or program to address migration safety issues. One particular program or script may be an agent ID regeneration program or script.

Mobile agents can be deployed to location aware mobile devices within specific regions of interest to achieve specific goals in respect of events occurring in the region of interest. In order to ensure that the agent can persist within the region of interest until the agent goals are achieved, the agent is configured to locate other devices within the region of interest and to propagate itself, by moving or copying itself, to those other devices. When a device hosting the agent exits the region of interest, the agent is terminated, thereby freeing device resources.

In a network of mobile agents, data integrity can be improved by providing an agent server that can migrate between devices operating in the region of interest (ROI). The agent server distributes agent clients onto devices in the ROI and provides agent server services to the agent clients, including receiving and storing data from the agents. When the agent server device is to leave the ROI, the agent server can migrate to any device executing an agent client and continue to provide the agent server services, including data collection and aggregation, from the device to which the agent server has migrated.

A method includes collecting, by one or more processors of a computer system, digestive capabilities for Input Output Queues (IOQs) of infrastructure components in a hybrid cloud infrastructure, and allocating, by the one or more processors of the computer system, nonvolatile memory express (NVMe) storage cloud resources for the hybrid cloud infrastructure based on the collected digestive capabilities for IOQs of the infrastructure components.

Embodiments are directed towards employing a traffic management system (TMS) that is enabled to deploy component virtual machines (CVM) to the cloud to perform tasks of the TMS. In some embodiments, a TMS may be employed with one or more CVMs. In at least one embodiment, the TMS may maintain an image of each CVM. Each CVM may be configured to perform one or more tasks, to operate in specific cloud infrastructures, or the like. The TMS may deploy one or more CVMs locally and/or to one or more public and/or private clouds. In some embodiments, deployment of the CVMs may be based on a type of task to be performed, anticipated resource utilization, customer policies, or the like. The deployment of the CVMs may be dynamically updated based on monitored usage patterns, task completions, customer policies, or the like.

A method for automatically prioritizing startup of resource groups during a migration event. The method may include monitoring resource usage of a first and a second set of applications associated, respectively, with a first and a second resource group executing on a first computing node. The method may additionally include generating respective first and second resource usage models for the first and second resource groups based on resource usage. The method may then include extrapolating, based on the first and second resource usage models, respective first and second resource group usage scores for the first and second resource groups at a second time in response to a migration event, the second time occurring subsequent to the first time. The method may further include determining, based on the extrapolating, a priority order for serially starting the first and second set of applications on a second computing node at the second time.

A method for automatically prioritizing startup of resource groups during a migration event. The method may include monitoring resource usage of a first and a second set of applications associated, respectively, with a first and a second resource group executing on a first computing node. The method may additionally include generating respective first and second resource usage models for the first and second resource groups based on resource usage. The method may then include extrapolating, based on the first and second resource usage models, respective first and second resource group usage scores for the first and second resource groups at a second time in response to a migration event, the second time occurring subsequent to the first time. The method may further include determining, based on the extrapolating, a priority order for serially starting the first and second set of applications on a second computing node at the second time.

In one embodiment, a method includes maintaining contextual information from a first dialog session, wherein the contextual information comprises identifiers of entities and slots, receiving a user request during the first dialog session, determining a context carryover is required for an agent to execute a task associated with the user request, determining a first subset of the identifiers of the entities and a second subset of the slots of the contextual information from the first dialog session are shareable with the agent based on the agent and first resources of the identifiers of the entities and second resources of the slots, and executing the task by the agent based on the first subset of the identifiers of the entities and the second subset of the slots of the shareable contextual information.

In a network of mobile agents, data integrity can be improved by providing an agent server that can migrate between devices operating in the region of interest (ROI). The agent server distributes agent clients onto devices in the ROI and provides agent server services to the agent clients, including receiving and storing data from the agents. When the agent server device is to leave the ROI, the agent server can migrate to any device executing an agent client and continue to provide the agent server services, including data collection and aggregation, from the device to which the agent server has migrated.