Optimizing a performance of a software function within a content delivery network, such as a software-implemented virtual cable modem termination system (CMTS) network, a virtualized Radio Access Network (vRAN), a Passive Optical Network (PON), or a Wi-Fi network. The performance may be optimized by dynamically changing a deployment location of a software function for a set of one or more users but not all users of a content delivery network from an original location to an updated location using an instance management platform. The deployment location may be dynamically changing in response to a variety of trigger conditions or concerns, such as but not limited to a difference in compute resources, responding to latency needs or tolerances, and a desired cohabitation of data or other software.

Provided is an electronic device for managing computing resources of at least one cloud server that provides a cloud service by using a virtual machine instance including a communicator configured to receive, from a client device, at least one service request for a service provided by the virtual machine instance; and a controller configured to select one of a plurality of modes of the virtual machine instance for management of the computing resources, based on the at least one service request, and control the computing resources allocated to the virtual machine instance according to the selected mode of the virtual machine instance, wherein the virtual machine instance is generated by the at least one cloud server.

Managing application migration is provided. An API server on a controller node is invoked to update a configuration map of a reverse proxy on a worker node for the reverse proxy to route user service requests corresponding to unmigrated applications of a set of applications from a first computing platform to a second computing platform to maintain liveness of the unmigrated applications during migration. The API server is invoked to build an image for an application of the set of applications based on source code of the application obtained from the second computing platform. The API server is invoked to generate a pod on the worker node to perform a workload of the application using the image. The API server is invoked to update a service on the worker node to select the pod on the worker node performing the workload of the application.

Application lifecycle management based on real-time resource usage. A first plurality of resource values that quantify real-time computing resources used by a first instance of an application is determined at a first point in time. Based on the first plurality of resource values, one or more utilization values are stored in a profile that corresponds to the application. Subsequent to storing the one or more utilization values in the profile, it is determined that a second instance of the application is to be initiated. The profile is accessed, and the second instance of the application is caused to be initiated on a first computing device utilizing the one or more utilization values identified in the profile.

Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.

Provided are a method and an apparatus for reporting and handling an exception in computing power sharing, a storage medium, and a terminal device. The method for reporting an exception in computing power sharing includes: detecting a current hardware state and a current battery state; and reporting an exception to a network unit, in a case that the hardware state or the battery state reaches a preset exception threshold, or in a case that a change of the hardware state or a change of the battery state reaches a preset reporting threshold. The method for handling an exception in computing power sharing includes: receiving an exception reported from a cooperative computing terminal; determining a total workload assigned to the cooperative computing terminal and a remaining workload of the cooperative computing terminal; and determining, based on the exception and the remaining workload, to reassign the remaining workload or the total workload.

Methods, systems, computer-readable media, and apparatuses for determining partitions and virtual processes in a simulation are presented. A plurality of partitions of a simulated world may be determined, and each partition may correspond to a different metric for entities in the simulated world. A plurality of virtual processes for the simulated world may also be determined. The system may assign a different virtual process to each partition. An indication of the partitions may be sent to one or more partition enforcer services, and an indication of the virtual processes may be sent to a virtual process manager.

There are provided an information processing system that operates virtual machines and storage controllers on a processor, and an information processing method executed by the information processing system. A storage controller group capable of taking over processing between the storage controllers arranged in different nodes is provided. The virtual machine is movable between the different nodes by deploy. The virtual machine and the storage controller that processes data input and output by the virtual machine are arranged in the same node. A combination of the virtual machines that cannot be arranged in the same node is defined by a restriction. A management unit arranges one of the virtual machines that cannot be arranged in the same node in the node in which the storage controller included in the storage controller group to which the storage controller used by the other virtual machine belongs is not arranged.

Some embodiments provide a novel method for deploying containerized applications. The method of some embodiments deploys a data collecting agent on a machine that operates on a host computer and executes a set of one or more workload applications. From this agent, the method receives data regarding consumption of a set of resources allocated to the machine by the set of workload applications. The method assesses excess capacity of the set of resources for use to execute a set of one or more containers, and then deploys the set of one or more containers on the machine to execute one or more containerized applications. In some embodiments, the set of workload applications are legacy workloads deployed on the machine before the installation of the data collecting agent. By deploying one or more containers on the machine, the method of some embodiments maximizes the usages of the machine, which was previously deployed to execute legacy non-containerized workloads.

An automated improving of quality of service of a data center. Transients of a power grid fed to a power supply unit are monitored by a probe. Information on transients is provided across an interface to a server of the data center. Based on characteristics of the transients, a reliability of the data center is subjected to automated updating. A request for migration of workload requiring a higher reliability than the updated reliability can be sent to a central management. When the central management has identified another data center that can meet the required reliability, the central management migrates or relocates the workload to the another data center.