Subject service describing and matching method based on semantic and QoS constraint

Abstract

The invention discloses a subject service describing and matching method based on semantic and QoS constraint, which comprehensively considers semantic and QoS attributes and describes and matches the subject service. The invention is composed of processes of subject service describing and subject service matching, wherein, the subject service describing process can carry out general description,functional description and service quality attribute description on the subject service, the subject service matching process can intensively find one or a plurality of subject services satisfying semantic similarity threshold value and featuring the optimal QoS in subject service suppliers according to a subject service requester. The invention can perform comprehensive capacity description on the subject service, comprehensively considers semantic and QoS influences on subject service matching, and objectively and impartially selects one or a plurality of subject services satisfying semantic condition and featuring the optimal QoS according to subject service request, thus solving the problems that service quality and semantics are not well combined, matching effect is not accurate, thematching process is subjective and unfair, etc. in the existing methods.

Description

technical field [0001] The subject service description and matching method based on semantics and QoS constraints of the present invention belongs to the technical field of autonomous computing, and in particular relates to the subject service description and matching technology of an autonomous unit. Background technique [0002] Autonomic computing technology is an emerging research topic proposed to solve the software complexity crisis. As the agent (Agent) and multi-agent (Multi-Agent) systems are more and more widely concerned by researchers in the field of distributed artificial intelligence, agent-based autonomous computing has gradually become a research hotspot. These studies use agents as autonomous units, focusing on how to use agents and multi-agent systems to provide users with various effective and efficient services (that is, agent-based services), and enable autonomic computing to achieve self-management capabilities through self-configuration. When a new au...

AI Technical Summary

Problems solved by technology

However, a large amount of research work at present has not combined the two effectively, and most of them are subject service matching for semantics or service quality;

[0012] (2) Most subject service matching methods completely perform service matching from the functional point of view, without considering the influence of non-functional attributes such as service cost, time, reliability, etc.

Therefore, if there are multiple subjects providing a certain service functionally, these matching methods can only randomly select one subject to provide the service, regardless of the non-functional attributes of these subjects such as service cost, time, reliability, and service quality. Therefore, it is impossible to guarantee that the result of service matching is the most satisfactory for users;

[0013] (3) A few research works consider the impact of service quality in the subject service matching process, but the QoS attributes considered by these methods (such as cost, time, reliability, etc.) are usually issued by the subject service provider, and these criteria are too subjective , so that it cannot reflect the real quality of the main service, so there are subjective and unfair problems in the matching process

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