Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A signal processor for a sub-band coding system includes a selector receiving various data, i.e., sample data, allocation information, synchronization and system information during encoding, changing the various data into appropriate forms for efficient encoding the various data and generating same, a memory temporarily storing various data received from the selector, an operator for selectively scaling and quantizing sample data and dequantizing and descaling encoded data, classifier providing outputting the operated data, allocation information input to the operating means, and system information as encoded data in accordance with the frame format of a general sub-band coding system, or receiving and classifying the encoded data into system information, allocation information and operated data, and a control signal generator for generating control signals for controlling the encoding and decoding of the selector, memory, operator and classifier circuits.