A service processing method, performed by a cloud application management server, includes: upon receiving an allocation request from a target terminal, acquiring N pieces of selection reference information corresponding to a pending edge server and related to the target terminal and running reference information, the pending edge server being one of P edge servers connected to the cloud application management server; upon determining that the pending edge server meets a requirement of providing a running service of a target cloud application for the target terminal, determining a connection reference score corresponding to the pending edge server; storing the connection reference score and identification information about the pending edge server into a candidate set; and transmitting the candidate set to the target terminal.

Provided are systems and methods for contextually providing services via a portable computer at a selected location. According to some embodiments, the systems and methods include processes for determining location-specific information about the selected location, determining status information about a user of the portable computer interface, and displaying an available service to the user on a display screen of the portable computer, the available service being selected based on the location-specific information and the status information.

Methods, apparatus, systems and articles of manufacture are disclosed to manage cloud provider sessions. An example apparatus includes at least one computer readable medium; and processor circuitry to execute instructions that cause the processor circuitry to: in response to detecting a first request to establish a first session with a cloud provider that is to perform a first action: establish the first session using credentials associated with the cloud provider; record a lifespan of a session token associated with the first session; and transmit the session token to a cloud provider adapter to facilitate communication between the cloud provider adapter and the cloud provider; and in response to detecting a second request to establish a second session with the cloud provider that is to perform a second action, transmit the session token to the cloud provider adapter to facilitate communication between the cloud provider adapter and the cloud provider.

Systems and methods for enabling various devices to remotely interact with cloud-based client applications are provided. A method comprises receiving a first request from a first client device of a user to initiate an interactive session with a cloud-based client application, reserving an application engine for executing the cloud-based client application remotely from the first client device, receiving interaction data from the first client device as the user engages with a first media data associated with the cloud-based client application, modifying the cloud-based client application executing within the application engine that is reserved based on the interaction data received from the first client device, receiving a second request from the first client device to end the interactive session with the cloud-based client application that is modified, and deallocating the application engine that is reserved, wherein the application engine that is reserved is delinked from the first client device.

Techniques are described that enable, in a multi-region cloud environment, information regarding one or more tenancy sessions that a network access program (e.g., a browser) participates in to be efficiently stored in a centralized location. The centrally stored sessions information can then be used for various purposes such as for restricting the number of tenancy sessions using a network access program, sessions cleanup, and other sessions-related tasks. In certain implementations, the centrally stored sessions information is used to prevent the network access program from opening multiple sessions for the same tenancy. In such implementations, for a particular tenancy, the network access program is allowed to have only one active session for the particular tenancy at a time. The centrally stored sessions information facilitates efficient sessions management including session cleanup after a session is closed.

The techniques described herein relate to methods, apparatus, and computer readable media configured to provide a distributed core framework for a voice and data network. A control plane comprising a set of control plane components is executed using a set of virtual machines running on a set of computing devices. The control plane comprises a first network interface to the voice and data network that is shared by the set of control plane components. A data plane comprising a set of data plane components is executed using a set of virtual machines running on a set of computing devices. The data plane comprises a second network interface to the voice and data network that is shared by the set of data plane components. Upon receipt of a session request from a remote device, a selected data plane component is selected to handle a corresponding session, such that the selected data plane component can directly communicate with the remote device using the second network interface to handle the session.

Provided are systems and methods for contextually providing services via a portable computer at a selected location. According to some embodiments, the systems and methods include processes for determining location-specific information about the selected location, determining status information about a user of the portable computer interface, and displaying an available service to the user on a display screen of the portable computer, the available service being selected based on the location-specific information and the status information.

Embodiments of the present invention provide concepts for identifying an edge computing environment location as a target for workload migration. For example, embodiments may provide for a machine-learning algorithm to be trained to predict or suggest the most appropriate edge location for migrating a workload. Using a description of a workload, the machine-learning algorithm may predict/suggest one or more edge locations.

Disclosed are various approaches to anticipating future resource consumption based on user sessions. A message comprising a prediction of a future number of concurrent user sessions to be hosted by a virtual machine within a predefined future interval of time is received. It is then determined whether the future number of concurrent user sessions will cause the virtual machine to cross a predefined resource threshold during the predefined future interval of time. Then, a message is sent to a first hypervisor hosting the virtual machine to migrate the virtual machine to a second hypervisor.

A memory controller performs DMA operations on arbitrary sized elements unbounded by the word size of the host memory or processor, which performs operations based on an element that represents an atomic data unit such as a pixel. In this manner, a corresponding coding effort is not concerned with computing and locating word boundaries and accommodating unused bits of data conventionally used for accommodating word boundaries on pixel data for video rendering, for example. An element in memory corresponds to a rendered atomic data item, such as a pixel. The controller determines an element precision indicative of a size of the element, and identifies a unit of memory based on a memory location and a packed representation of a plurality of the elements relative to the memory location. The unit has a height and width, defining elements arranged in a grid, and an element position is based on coordinates.