Cloud computing service revenue method for SLA (Service Level Agreement) guaranteed QoS (Quality of Service) expectation

Abstract

The invention belongs to the field of cloud computing services, and specifically provides a cloud computing service revenue method for an SLA (Service Level Agreement) guaranteed QoS (Quality of Service) expectation. According to the invention, an existing SLA guaranteed QoS method is promoted through a QoS quantification factor calculation formula and an adaptive weight allocation algorithm, circumstances of low QoS satisfaction degree and the like in a dynamic pricing mechanism are effective overcome. In addition, a utility function modeling based cloud computing service performance mechanism is built through dynamic price fluctuation quantities, a fractional order revenue system is established by taking a performance-utility model as functional relation, a Nash equilibrium revenue objective model and an ant colony optimization algorithm are established, and the cloud computing service revenue efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of cloud computing, and in particular relates to a cloud computing service income method in which SLA guarantees QoS expectations. Background technique [0002] Since cloud computing launched elastic computing by Amazon in March 2006, it has set off an upsurge in research and industrial applications in information science and related industries around the world, bringing unprecedented changes, opportunities and challenges to computer networks and distributed computing; its research field It has developed into a wider field of information science; it has also promoted the change of computer business models, and elastic computing has become a new type of business computing model: first, it reduces IT costs, improves resource utilization, and allows IT resources to be quickly redistributed. Adapt to the needs of enterprises to provide users with elastic and scalable cloud computing services; the second is to de...

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Problems solved by technology

However, the pricing mechanism of cloud computing services has always been affected by resource utilization, energy-saving control, virtual machine placement (migration), balanced scheduling, etc., which has brought impact on revenue games, resource optimization allocation, etc. caused by different QoS expectations under SLA guarantees. It is not conducive to the commercial value of cloud computing, which reflects some difficult problems revealed by the existing pricing mechanism, such as the unbalanced income between cloud computing service providers and users, and the unfairness brought about by the bias of different pricing mechanisms , additional network resource overhead during virtual machine migration brought about by the complex price negotiation mechanism, user access resource delays caused by peak hours, etc. will directly affect cloud computing service revenue

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