Abstract:
Disclosed herein are an intelligent scheduling apparatus and method. The intelligent scheduling apparatus includes one or more processors, and an execution memory for storing at least program that is executed by the one or more processors, wherein the at least one program is configured to, in a hybrid cloud environment including a cloud, an edge system, and a near-edge system, configure schedulers for scheduling tasks of the cloud, the edge system, and the near-edge systems, store data, requested by a client, in a work queue by controlling the schedulers based on a scheduler policy and process the tasks based on data stored in the work queue, and collect history data resulting from processing of the tasks depending on the scheduler policy, and train the scheduler policy based on the history data.
Abstract:
Disclosed herein are an intelligent scheduling apparatus and method. The intelligent scheduling apparatus includes one or more processors, and an execution memory for storing at least program that is executed by the one or more processors, wherein the at least one program is configured to, in a hybrid cloud environment including a cloud, an edge system, and a near-edge system, configure schedulers for scheduling tasks of the cloud, the edge system, and the near-edge systems, store data, requested by a client, in a work queue by controlling the schedulers based on a scheduler policy and process the tasks based on data stored in the work queue, and collect history data resulting from processing of the tasks depending on the scheduler policy, and train the scheduler policy based on the history data.
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:
A method and apparatus are disclosed which relate generally to worker-scheduling technology in a serverless cloud-computing environment, and more particularly, to technology that allocates workers for executing functions on a micro-function platform which provides a function-level micro-service. The method and apparatus process a worker allocation task in a distributed manner as two-step pre-allocation schemes before a worker allocation request occurs, and pre-allocates workers required for a service using a function request period and a function execution time, thus minimizing scheduling costs incurred by worker allocation requests.
Abstract:
Disclosed herein are an apparatus and method for managing memory-based integrated storage. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program converts data operation tasks in response to a request for access to memory-based integrated storage from a user, a single virtual disk of a virtual storage pool of the memory-based integrated storage converts a disk access command into a command for connecting to a storage backend depending on the data operation tasks, and conversion of the data operation tasks into the command includes target identification indicating which local storage of the memory-based integrated storage is to be used.
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:
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 is a method for resource allocation in an edge-computing environment. The method includes receiving a request for an intelligent edge service, selecting the worker server to execute the service based on an input/output congestion level, allocating resources based on topology information of the worker server, and configuring a virtual environment based on the allocated resources.
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 is an apparatus and method for graphic offloading based on a virtual machine monitor. A graphic offloading server device includes a virtual machine unit for performing graphics processing of three-dimensional (3D) graphics software, and a virtual machine monitor unit for transmitting graphics processing instructions of the 3D graphics software input from the virtual machine unit to a graphic offloading client device using a pass-through technique, so that the graphic offloading client device actually performs graphics processing of the 3D graphics software. The graphic offloading server device virtually performs graphics processing of the 3D graphics software in a desktop virtualization environment