Abstract: A method and apparatus for predicting traffic, comprising: determining time at which payment times for a first service reaches a peak as designated time; determining a peak of payment times for a second service in history as a historical peak according to a saved historical record; and predicting the actual traffic of the second service at the designated time according to the historical peak, wherein the first service and the second service belong to the same type of services, the execution manner of the first service is different from that of the second service, the service execution time of the first service is shorter than a preset duration, and the service execution time of the second service is longer than the preset duration. The present application can provide a more accurate reference for the operation and maintenance procedure of the server.

Abstract: A method and apparatus for predicting traffic, comprising: determining time at which payment times for a first service reaches a peak as designated time; determining a peak of payment times for a second service in history as a historical peak according to a saved historical record; and predicting the actual traffic of the second service at the designated time according to the historical peak, wherein the first service and the second service belong to the same type of services, the execution manner of the first service is different from that of the second service, the service execution time of the first service is shorter than a preset duration, and the service execution time of the second service is longer than the preset duration. The present application can provide a more accurate reference for the operation and maintenance procedure of the server.

Abstract: Disclosed are a method and a device for predicting business volume. The method includes: determining a prediction time and a historical time corresponding to the prediction time; acquiring historical payment data for a business provider; determining a number of historical payments for the business provider at the historical time on the basis of the historical payment data; and predicting business volume of the business provider at the prediction time on the basis of the number of historical payments.

Abstract: A method and apparatus for releasing evaluation information, in which the feature value corresponding to the object to be evaluated is determined according to the operation information actually occurred by the object to be evaluated, and the comparison value corresponding to the category is determined according to feature values of part or all objects whose category is the same as that of the object to be evaluated. Since the feature value and the comparison value are determined according to the operation information occurred actually without relying on the subjective evaluation of human in the present application, it is more accurate when comparing with the prior art.

Abstract: A service request is received at an entry service subsystem of a distributed service system. The service request is transferred from the entry service subsystem to subsequent levels of service subsystems based on a service condition, where a service processing status of each subsequent service subsystem in the distributed system is monitored, and where transferring the service request further includes: for each level-1 service subsystem satisfying the service condition, generate a level-1 joint identifier comprising data associated with the entry service subsystem and the level-1 service subsystem and process the generated level-1 joint identifiers to generate a first check value.