Service internet multi-tenant satisfaction measurement method based on generalized entropy

Abstract

The invention discloses a service internet multi-tenant satisfaction measurement method based on generalized entropy. By utilizing the concept of information entropy, starting from the perspective ofInternet tenants, the service internet multi-tenant satisfaction measurement method carries out user satisfaction measurement on the service Internet system, and divides a service request submitted byan Internet tenant into a plurality of sub-services, wherein each sub-service can be provided by the service internet, and each sub-service is considered from three aspects of response time, expenditure cost and service effect; results of the three factors are synthesized to serve as information content description of a certain sub-service execution result; only when the three meet the expected requirements simultaneously, the task can be regarded as task completion and the user is satisfied; the average value of the values obtained after all sub-service divided by the service request of thetenant of the service internet is completed is the description value of the satisfaction degree of the tenant; multiple tenants in the service internet are calculated according to the calculation modeof the information entropy; and the obtained entropy value is the user satisfaction degree of the service internet.

Description

technical field [0001] The invention relates to a service Internet multi-tenant satisfaction measurement method based on generalized entropy, which belongs to the technical field of service computing. Background technique [0002] Entropy (entropy) originally comes from thermodynamics. The larger the value of entropy, the more chaotic the system, and the smaller the value of entropy, the more orderly the system; information entropy is used to describe the expectation of the amount of information contained in an event, the amount of information in an event directly related to its uncertainty. For very uncertain events, the greater the amount of information; for deterministic events, the less the amount of information, the lower the value of entropy. Therefore, entropy is often used to measure the overall characteristics of a system, by making statistics on a large number of constituent elements in the system, and then expressing the characteristics of the system after specif...

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Problems solved by technology

However, this method is only a satisfaction measurement method for service providers, and there are a large number of multi-tenants in the Internet service system. Only the overall cost of the system is considered without considering the overall satisfaction of multi-tenants, which will lead to intuitive perception of users. decline, resulting in the loss of users

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