Abstract: Embodiments of the present disclosure provide a data protection method, an electronic device, and a computer program product. The method includes determining an object feature for each protection object in a set of protection objects that generate protected data, the set of protection objects including at least one protection object configured with a predetermined data protection strategy. The method further includes determining a set of candidate objects belonging to the same class as the at least one protection object from the set of protection objects according to the determined object features. The method further includes configuring the predetermined data protection strategy to at least one candidate object in the set of candidate objects.

Abstract: The present disclosure discloses a system for intelligently leveling with an automatic temperature control function and a method thereof. The system includes a handcart-type leveller, indoor GPS positioning devices, an AGV trolley temperature measuring device and a control system. The control system processes position parameters of the AGV trolley temperature measuring device and the handcart-type leveller; converts the position parameters for the handcart-type leveller into position parameters for a leveling region, controlling the AGV trolley temperature measuring device to arrive at a lower part of the leveling region by a control chip and measuring temperatures in the leveling region; controlling an operation status of the AGV trolley temperature measuring device and transmitting data with the AGV trolley temperature measuring device.

Abstract: Embodiments of the present disclosure provide a data protection method, an electronic device, and a computer program product. The method includes determining an object feature for each protection object in a set of protection objects that generate protected data, the set of protection objects including at least one protection object configured with a predetermined data protection strategy. The method further includes determining a set of candidate objects belonging to the same class as the at least one protection object from the set of protection objects according to the determined object features. The method further includes configuring the predetermined data protection strategy to at least one candidate object in the set of candidate objects.

Abstract: First and second types of weighted values are assigned to graph edges of a directed acyclic graph representing versions of a software product. The first type of weighted values indicate a degree of stability associated with upgrading the product. The second type of weighted values indicate an estimated time for the upgrading. A first upgrade path through the graph is generated using the first type of weighted values and corresponds to a first upgrade plan that minimizes risks associated with the upgrade. A second upgrade path through the graph is generated using the second type of weighted values and corresponds to a second upgrade plan that minimizes the estimated upgrade time. An upgrade package is created for one of the first or second upgrade plans. The upgrade package includes the desired version, intermediate versions, and a sequence indicating an order in which the intermediate versions should be installed.

Abstract: Software product versions installed on clients are detected. At least a subset of clients have different versions. Directed acyclic graphs are built specific to a client based on a particular version of the software product installed. Weighted values are assigned to edges in each graph. The weighted values indicate a degree of stability associated with upgrading the software product or an estimated time associated with the upgrading. Upgrade paths present in each graph are traversed to calculate sums of the weighted values. Based on the sums, recommended upgrade paths for the clients are identified, each recommended upgrade path is specific to a respective client. Upgrade packages, corresponding to the recommended upgrade paths, are created for the clients. Each upgrade package is specific to the respective client, includes the desired version of the software product, intermediate versions, and a sequence indicating an order in which the intermediate versions should be installed.

Abstract: First and second types of weighted values are assigned to graph edges of a directed acyclic graph representing versions of a software product. The first type of weighted values indicate a degree of stability associated with upgrading the product. The second type of weighted values indicate an estimated time for the upgrading. A first upgrade path through the graph is generated using the first type of weighted values and corresponds to a first upgrade plan that minimizes risks associated with the upgrade. A second upgrade path through the graph is generated using the second type of weighted values and corresponds to a second upgrade plan that minimizes the estimated upgrade time. An upgrade package is created for one of the first or second upgrade plans. The upgrade package includes the desired version, intermediate versions, and a sequence indicating an order in which the intermediate versions should be installed.

Abstract: Software product versions installed on clients are detected. At least a subset of clients have different versions. Directed acyclic graphs are built specific to a client based on a particular version of the software product installed. Weighted values are assigned to edges in each graph. The weighted values indicate a degree of stability associated with upgrading the software product or an estimated time associated with the upgrading. Upgrade paths present in each graph are traversed to calculate sums of the weighted values. Based on the sums, recommended upgrade paths for the clients are identified, each recommended upgrade path is specific to a respective client. Upgrade packages, corresponding to the recommended upgrade paths, are created for the clients. Each upgrade package is specific to the respective client, includes the desired version of the software product, intermediate versions, and a sequence indicating an order in which the intermediate versions should be installed.