Abstract:
Disclosed herein are an apparatus and method for autoscaling a service shared in a cloud. The apparatus may include memory in which at least one program is recorded and a processor for executing the program, and the program may perform autoscaling by which at least one second service for performing the same function as a first service is additionally generated or deleted depending on a load that is incurred when multiple clients call the first service in the cloud. The at least one second service may be set to one of two or more execution types having different response times depending on a response time required by each of the multiple clients.
Abstract:
Disclosed herein are an apparatus and method for managing threads to perform the divided execution of software. The apparatus includes a server-side thread management apparatus and a client-side thread management apparatus. The server-side thread management apparatus includes a server execution unit, a server device management unit, and a server connection management unit. The server execution unit executes software to be executed in a divided manner, and generates and manages one or more threads for processing one or more of graphics and sound processing functions of the executed software. The server device management unit extracts one or more of a function related to a graphics task and a function related to a sound task from the software. The server connection management unit sends the one or more functions, extracted by the server device management unit, to a client-side thread management apparatus via the threads generated by the server execution unit.
Abstract:
Disclosed herein is a method for executing Artificial Intelligence (AI) services based on virtual infrastructures. The method includes configuring the sharing type of a computational processing unit, executing an AI service based on a virtual infrastructure using requirements for the AI service and information about the sharing type of the computational processing unit, and performing optimization for the AI service.
Abstract:
An apparatus and method for executing a function. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors, and the at least one program is configured to determine whether it is possible to reengineer a user function source using interface description language (IDL) code, to generate a reengineered function source by reengineering the user function source, and to execute the reengineered function source.
Abstract:
Disclosed herein are an apparatus and method for managing in-memory container storage. The apparatus includes one or more processors, executable memory for storing at least one program executed by the one or more processors, and a container file system for storing a container, which provides application virtualization. Here, the container file system includes a merged access layer, a container layer, and an image layer, and the at least one program provides an application with link information of files in the container layer and the image layer, thereby allowing the application to access the files.
Abstract:
Disclosed herein are a distributed cloud system and a data-processing method and storage medium of the distributed cloud system. The data-processing method of the distributed cloud system includes executing an application of an edge computer system, requested by a user device, creating a snapshot image of the application, and storing the created image and transferring the stored image when migration is performed.
Abstract:
Disclosed herein are a distributed cloud system, a data processing method of a distributed cloud system, and a storage medium. The data processing method of a distributed cloud system includes receiving a request of a user for an edge cloud and controlling a distributed cloud system, wherein the distributed cloud system comprises a core cloud including a large-scale resource, the edge cloud, and a local cloud including a middle-scale resource between the core cloud and the edge cloud, processing tasks corresponding to the user request through a scheduler of the core cloud, distributing the tasks based on a queue, and aggregating results of processed tasks, and providing processed data in response to a request of the user, wherein the distributed cloud system provides a management function in case of failure in the distributed cloud system.
Abstract:
Disclosed are a method, apparatus, and system for selectively providing a virtual machine through actual measurement of efficiency of power usage. When a user terminal requests to provide a virtual machine, candidate virtual machines are activated on multiple virtual machine servers. Input data provided by the user terminal are provided to each of the multiple candidate virtual machines through replication and network virtualization, and identical candidate virtual machines are run on the multiple virtual machine servers through replication and network virtualization. When the candidate virtual machines are run, one of the candidate virtual machines is finally selected as the virtual machine to be provided to the user terminal based on efficiency of power usage.
Abstract:
Disclosed herein are an energy saving method based on a confidence interval and an apparatus using the method. The energy saving apparatus based on a confidence interval includes an energy saving performance analysis unit for generating energy saving performance data for each of one or more control modules included in a target system for which energy saving is to be performed, a confidence interval reading unit for generating confidence interval data for each of the one or more control modules, and an energy saving execution unit for establishing an energy-saving policy using the energy saving performance data and executing energy saving for each of the one or more control modules using at least one of the energy-saving policy and the confidence interval data.
Abstract:
Disclosed herein are a distributed cloud system, a data processing method of the distributed cloud system, a storage medium. The data processing method of the distributed cloud system includes running an application of an edge computing system requested by a user device, generating a snapshot image of the application, and storing the generated snapshot image and transmitting the stored image during migration.