Cloud service recommendation method and device based on multi-attribute matching

Abstract

The invention discloses a cloud service recommendation method and a cloud service recommendation device based on multi-attribute matching. A cloud service supplier issues a cloud service solution to the cloud service recommendation device; a cloud service client issues a cloud service demand to the cloud service recommendation device; the cloud service recommendation device respectively acquires an attribute set and matching characteristic and actual values of the attribute set from the cloud service solution and an attribute set and matching characteristic and desired values of the attribute set from the cloud service demand; the corresponding functional attributes in the cloud service solution and the cloud service demand are compared, so that the functional attribute matching degrees are calculated, and the cloud service solution according with a condition is classified into a matching set; the corresponding credible attributes in the cloud service solution are compared, so that the credible attribute matching degrees are estimated, and a comprehensive matching degree is acquired by combining a credible weight and a scheme matching degree; in the acquired matching set, recommendation degrees are calculated and sequenced according to the comprehensive matching degree of the matching schemes and historical customer evaluation; and the matching schemes according with the condition are classified into a recommendation set.

Description

technical field [0001] The present invention is applied in the field of computer services, and is specifically a multi-attribute matching-based cloud service recommendation method and device. Background technique [0002] With the development of network and information technology, the demand for public computing resources has grown exponentially in the past decade. However, the distribution of computing resources among various enterprises is uneven. For some small and medium-sized companies, because they cannot afford high infrastructure construction and service management costs, the lack of computing resources has become a major obstacle to their development. For some large multinational companies such as Amazon, IBM, Microsoft, and Google, how to improve large-scale private computing resources and reduce resource maintenance costs has become a major problem for the chief information officers of major multinational companies. The proposal and implementation of cloud comput...

AI Technical Summary

Problems solved by technology

[0006] Cloud service exploration and selection is a broad research topic. However, due to the diversity of cloud service essential characteristics and different people hold different views on this, it is rare to have a unified cloud recommendation system model.

Although many scholars have devoted themselves to the design and development of cloud service semantics description frameworks and automatic negotiation algorithms, they have neglected some other CRS issues, such as multi-attribute cloud service matching algorithms and cloud service recommendation methods.

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