Abstract: A display device and a grayscale compensation method thereof. The display device includes a data conversion circuit, a voltage drop estimation circuit, and a compensation circuit. The data conversion circuit converts a plurality of original grayscale data of a target pixel block into current data. The voltage drop estimation circuit converts the current data into transmission line voltage drop information of the target pixel block. The compensation circuit converts the transmission line voltage drop information into at least one pixel compensation value of the target pixel block, and uses the at least one pixel compensation value to compensate the original grayscale data of the target pixel block, so as to generate a plurality of compensated grayscale data of the target pixel block.

Abstract: The invention provides a display device and a grayscale compensation method thereof. The display device includes a data conversion circuit, a voltage drop estimation circuit, and a compensation circuit. The data conversion circuit converts a plurality of original grayscale data of a target pixel block into current data. The voltage drop estimation circuit converts the current data into transmission line voltage drop information of the target pixel block. The compensation circuit converts the transmission line voltage drop information into at least one pixel compensation value of the target pixel block and compensates the original grayscale data of the target pixel block using the at least one pixel compensation value to generate a plurality of compensated grayscale data of the target pixel block.

Abstract: A server and a cloud computing resource optimization method thereof for big data cloud computing architecture are provided. The server runs a dynamic scaling system to perform the following operations: receiving a task message; executing a profiling procedure to generate a profile based on an to-be-executed task recorded in the task message; executing a classifying procedure to determine a task classification of the to-be-executed task; executing a prediction procedure to obtain a plurality of predicted execution times corresponding to a plurality of computing node numbers, a computing node type and a system parameter of the to-be-executed task; executing an optimization procedure to determine a practical computing node number of the to-be-executed task; and transmitting an optimization output message to a management server to make the management server allocate at least one data computing system to execute a program file of the to-be-executed task.

Abstract: A server and a cloud computing resource optimization method thereof for cloud big data computing architecture are provided. The server runs a dynamic scaling system to perform the following operations: receiving a task message; executing a profiling procedure to generate a profile based on an to-be-executed task recorded in the task message; executing a classifying procedure to determine a task classification of the to-be-executed task; executing a prediction procedure to obtain a plurality of predicted execution times corresponding to a plurality of computing node numbers, a computing node type and a system parameter of the to-be-executed task; executing an optimization procedure to determine a practical computing node number of the to-be-executed task; and transmitting an optimization output message to a management server to make the management server allocate at least one data computing system to execute a program file of the to-be-executed task.