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.

Systems and methods are provided for sharing or recreating a state from a mobile device. For example, a mobile application state identifier can include a protocol identifier, a target task component associated with a mobile application executing when the application state identifier is generated and a sub-task component related to a user-interface active in the mobile application when the application state identifier is generated. The application state identifier can also include a user input component reflecting actions taken by a user during execution of the mobile application. A method can include generating, on a first mobile device, an application state identifier and transmitting the application state identifier to a second mobile device, wherein the second mobile device opens a mobile application associated with the target task to a user-interface corresponding to the sub-task component in response to receiving the application state identifier.

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.

Migrating workloads to a preferred environment, including: predicting, for each of a plurality of environments, a performance load on each of a plurality of environments that would result from placing one or more of a plurality of workloads on the environment; determining a preferred environment for each of the plurality of workloads by determining a placement of each of the plurality of workloads that results in a best fit for the plurality of workloads; and deploying each of the plurality of workloads in the corresponding preferred environment.

Systems and methods are disclosed for switching between an assigned device and an emulated device. An example system includes a device-specific driver and a pass-through device driver included in a hypervisor. A common host backend is bound to at most one of the device-specific driver and pass-through device driver at a time. The assigned and emulated devices access the common host backend. The system also includes a switch module that sends one or more communications to a guest to cause the guest to switch from using at most one of the assigned device or the emulated device to the other of the at most one of the assigned device or the emulated device.

A method of operating a browser of a terminal apparatus is provided. The method of operating a browser of a terminal apparatus according to various exemplary embodiments includes: confirming a resource needed for a first computation for operating the browser in the terminal apparatus; requesting an external device perform the first computation when the resource does not exist or is insufficient; receiving from the external device data according to a result of the first computation; and displaying data on the browser using the received data.

Systems and methods are provided for sharing or recreating a state from a mobile device. For example, a mobile application state identifier can include a protocol identifier, a target task component associated with a mobile application executing when the application state identifier is generated and a sub-task component related to a user-interface active in the mobile application when the application state identifier is generated. The application state identifier can also include a user input component reflecting actions taken by a user during execution of the mobile application. A method can include generating, on a first mobile device, an application state identifier and transmitting the application state identifier to a second mobile device, wherein the second mobile device opens a mobile application associated with the target task to a user-interface corresponding to the sub-task component in response to receiving the application state identifier.

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 and apparatus for controlling and coordinating a multi-component system. Each component in the system contains a computing device. Each computing device is controlled by software running on the computing device. A first portion of the software resident on each computing device is used to control operations needed to coordinate the activities of all the components in the system. This first portion is known as a coordinating process. A second portion of the software resident on each computing device is used to control local processes (local activities) specific to that component. Each component in the system is capable of hosting and running the coordinating process. The coordinating process continually cycles from component to component while it is running. The continuous cycling of the coordinating process presents the programmer with a virtual machine in which there is a single coordinating process operating with a global view although, in fact, the data and computation remain distributed across every component in the system.

Methods and apparatus for providing availability information of a virtual machine to a load balancer are disclosed. The availability information of the virtual machine may be normalized information from performance metrics of the virtual machine and performance metrics of the physical machine on which the virtual machine operates. The normalized availability of a virtual machine is provided by a feedback agent executing on the virtual machine. Alternatively, the normalized availability of a virtual machine is provided by a feedback agent executing on a hypervisor executing multiple virtual machines on a common set of physical computing hardware.