Abstract: A method of migrating an application to a computing environment including: obtaining a service topology and a deployment sequence from an existing application; choosing a deployment preference, each deployment preference containing factors and a weight of each of the factors; outputting the service topology and the deployment preference; reading service records for the chosen service topology and deployment preference from a repository, the service records containing a value score and weight mapping information of each factor of each service record; performing a mock conversion of migrating the application to the computing environment; adjusting the value score and weight mapping of the service records according to the results of the mock conversion; responsive to a user choosing one service record representing a solution for migrating the application to the computing environment, generating files for the solution; and deploying the solution into the computing environment using the files.

Abstract: A method of migrating an application to a computing environment including: obtaining a service topology and a deployment sequence from an existing application; choosing a deployment preference, each deployment preference containing factors and a weight of each of the factors; outputting the service topology and the deployment preference; reading service records for the chosen service topology and deployment preference from a repository, the service records containing a value score and weight mapping information of each factor of each service record; performing a mock conversion of migrating the application to the computing environment; adjusting the value score and weight mapping of the service records according to the results of the mock conversion; responsive to a user choosing one service record representing a solution for migrating the application to the computing environment, generating files for the solution; and deploying the solution into the computing environment using the files.

Abstract: Orchestrating flexible scaling for large scale deployment and elastic service of an application of a service model with an orchestration. The orchestration: analyzes input received from a user to generate feature references and a service definition of the application of the service model to be generated, extracts key features of the application of the service model from the feature references; analyzing the key features and service definition to generate a deployment configuration file with service dependencies required; and comparing the deployment configuration file to known strategy patterns. When a strategy pattern is not found that matches, analyzing the service definition and deployment configuration file to determine an applicable strategy pattern.

Abstract: In a method for validating speed of a fan of an electronic device, different speeds of the fan are set for validation. The method controls the fan to operate under each of the set speeds in turn, and controls a camera device to continuously capture images of the fan with a shutter speed of the camera device corresponding to the set speed. The images are transmitted to a comparison unit to be analyzed for sameness and clarity. The fan is determined to work abnormally if not all the images are sameness or if at least one image is unclear, and the fan is determined to work normally if all the images are sameness or clear. A validation report is generated to indicate whether the fan is normal or abnormal according to the determination.

Abstract: A computing device and a method for controlling access to driver programs obtains a first system time at the time that an application uses a CTL_CODE to access a driver program. The first system time and the CTL_CODE is encrypted to generate an encrypted CTL_CODE which is then sent to the driver program. The encrypted CTL_CODE is decrypted to obtain the first system time and the CTL_CODE therein. A second system time at the time that the driver program receives the encrypted CTL_CODE is obtained and compared with the first system time. Access to the driver program is allowed if a difference between the first system time and the second system time falls within a predetermined range, and access to the driver program is forbidden if the difference is beyond the predetermined range.

Abstract: In a method for marking discrepancies of a captured image of an object, an image is captured and compared to a standard image. A discrepant image showing any discrepancies of the captured image is generated, and is separated into an R grayscale image, a G grayscale image, and a B grayscale image. An R channel matrix group, a G channel matrix group, and a B channel matrix group are created. R channel negative matrixes, G channel negative matrixes, and B channel negative matrixes are determined from the RGB channel matrix groups. RGB pixel groups are calculated based on the R channel negative matrixes, the G channel negative matrixes, and the B channel negative matrixes. A target pixel group to be marked is determined by calculating an intersection of the RGB pixel groups. The discrepancies of the digital image are marked out according to the target pixel group.

Abstract: An electronic device includes a network interface port, a processing unit, a network card, a serial interface, and a microchip. The network interface port connects to a debugging host or connects to an external network. The processing unit is connected to the network interface port. The network card is connected to the processing unit. The microchip is connected to the processing unit through the serial interface. The processing unit determines whether the network interface port is connected to the debugging host or connected to the external network, and selectively connects the network card or the serial interface to the network interface port according to the determination.

Abstract: In a method for validating speed of a fan of an electronic device, different speeds of the fan are set for validation. The method controls the fan to operate under each of the set speeds in turn, and controls a camera device to continuously capture images of the fan with a shutter speed of the camera device corresponding to the set speed. The images are transmitted to a comparison unit to be analyzed for sameness and clarity. The fan is determined to work abnormally if not all the images are sameness or if at least one image is unclear, and the fan is determined to work normally if all the images are sameness or clear. A validation report is generated to indicate whether the fan is normal or abnormal according to the determination.

Abstract: In a method for debugging programs of an electronic device, the method adds an appended block to one or more memory blocks allocated by one or more memory allocation functions of a specified program, so as to obtain one or more appended blocks, stores an identifier of each memory allocation function into a corresponding appended block, and executes a memory leak test to determine one or more unqualified memory allocation functions. The method further searches for one or more identifiers from the appended blocks if the memory leak test fails, and obtains a position of each unqualified memory allocation function in the specified program according to each found identifier if source codes of the specified program are available in a storage device of the electronic device.

Abstract: A computing device and method detects a tiredness state of a user. A camera positioned on a display device captures images of the user when the user is positioned in front of the camera. The computing device analyzes the images to obtain eye parameters of the eye of the user. The computing device reminds the user to have a rest, in response to a determination that the eye parameters of the eye of the user match predetermined eye parameters of the eye of the user.

Abstract: An electronic device includes a network interface port, a processing unit, a network card, a serial interface, and a microchip. The network interface port connects to a debugging host or connects to an external network. The processing unit is connected to the network interface port. The network card is connected to the processing unit. The microchip is connected to the processing unit through the serial interface. The processing unit determines whether the network interface port is connected to the debugging host or connected to the external network, and selectively connects the network card or the serial interface to the network interface port according to the determination.

Abstract: A computing device and a method for controlling access to driver programs obtains a first system time at the time that an application uses a CTL_CODE to access a driver program. The first system time and the CTL_CODE is encrypted to generate an encrypted CTL_CODE which is then sent to the driver program. The encrypted CTL_CODE is decrypted to obtain the first system time and the CTL_CODE therein. A second system time at the time that the driver program receives the encrypted CTL_CODE is obtained and compared with the first system time. Access to the driver program is allowed if a difference between the first system time and the second system time falls within a predetermined range, and access to the driver program is forbidden if the difference is beyond the predetermined range.

Abstract: In a method for debugging programs of an electronic device, the method adds an appended block to one or more memory blocks allocated by one or more memory allocation functions of a specified program, so as to obtain one or more appended blocks, stores an identifier of each memory allocation function into a corresponding appended block, and executes a memory leak test to determine one or more unqualified memory allocation functions. The method further searches for one or more identifiers from the appended blocks if the memory leak test fails, and obtains a position of each unqualified memory allocation function in the specified program according to each found identifier if source codes of the specified program are available in a storage device of the electronic device.

Abstract: In a method for marking discrepancies of a captured image of an object, an image is captured and compared to a standard image. A discrepant image showing any discrepancies of the captured image is generated, and is separated into an R grayscale image, a G grayscale image, and a B grayscale image. An R channel matrix group, a G channel matrix group, and a B channel matrix group are created. R channel negative matrixes, G channel negative matrixes, and B channel negative matrixes are determined from the RGB channel matrix groups. RGB pixel groups are calculated based on the R channel negative matrixes, the G channel negative matrixes, and the B channel negative matrixes. A target pixel group to be marked is determined by calculating an intersection of the RGB pixel groups. The discrepancies of the digital image are marked out according to the target pixel group.