Abstract: A server switch system includes a switch unit and a field-programmable gate array (FPGA) unit. The switch unit includes a first switch interface for receiving the first data and sending the second data, and a second switch interface for sending the third data and receiving the fourth data. The switch unit is used to generate the third data according to the first data, and generate the second data according to the fourth data. The FPGA unit includes an FPGA interface coupled to the second switch interface for receiving the third data from the switch unit and sending the fourth data to the switch unit.

Abstract: A data encryption method, adapted to a node computing device in a cloud server system comprises following steps. A primary data is received. A dimension of an encrypted matrix is computed. An encryption length is computed, and data segments matching the encryption length are extracted from the primary data sequentially according to the encryption length. A plurality of encrypted segments is obtained by encrypting the extracted data segments respectively through the encrypted matrix.

Abstract: A data encryption method, adapted to a node computing device in a cloud server system comprises following steps. A primary data is received. A dimension of an encrypted matrix is computed. An encryption length is computed, and data segments matching the encryption length are extracted from the primary data sequentially according to the encryption length. A plurality of encrypted segments is obtained by encrypting the extracted data segments respectively through the encrypted matrix.

Abstract: A loading prediction method, applicable to an electronic device, includes the following steps. Multiple resource loading records of the electronic device at multiple time periods are recorded, respectively. A predicted time point is received. A time difference between the predicted time point and a current time point is calculated. The predicted time point is greater than the current time point on a timeline. Whether the time difference is less than a threshold value is determined. A regression-based prediction according to the resource loading records is performed when the time difference is less than the threshold value. A clustering-based prediction according to the resource loading records is performed when the time difference is not less than the threshold value.