Samsung Sds Co., Ltd.

Kyu Yull Yi

Hyo Keun Choi

Su Hyun Kim

Suk Jeong Lee

Jin Seon Lee

Eun Sol Shim

Jin Hyuk Park

A method for distributing an application for an edge computing device performed by a computing device according to an embodiment of the present invention includes selecting a cluster including two or more edge devices from among a plurality of edge devices, distributing a first application to a second edge device included in the cluster, modifying routing information such that a service request incoming to a first edge device included in the cluster is transmitted to the second edge device, and replacing the first application running in the first edge device with a second application.

Method and system for distributing application for edge computing devices

An edge computing method for flexibly allocating a computing resource includes receiving an edge module and a container resource allocation value, generating a container based on the container resource allocation value and arranging the edge module in the generated container. The edge module is distributed to an edge computing device to perform a predetermined data processing. The container is a software component of the edge computing device providing an isolated computing environment for driving the edge module. The edge computing device is installed on-premise. The edge computing device can flexibly adjust available computing resources according to the current working situation and a resource requirement. In response to an environment, in which data traffic is flexible according to time or situation, such as a manufacturing plant, allocated resources of the edge computing device can be quickly adjusted, thereby a stable service can be provided.

Edge computing method and apparatus for flexibly allocating computing resource

An edge computing device controlling method includes executing some function modules of a plurality of function modules for processing a service request from a user device on a first edge computing device of a plurality of edge computing devices and additionally executing the some function modules on a second edge computing device of the plurality of edge computing devices when additional resource is required for the some function modules.

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Seoul, South Korea

Kyu Yull Yi