基于在線機(jī)制的云資源分配與定價的研究
[Abstract]:Cloud computing technology comes from the traditional IT technology. It is a transformation of the traditional network resource service mode. It is based on grid computing, parallel computing, virtualization and other IT technologies. In the ever-changing cloud services, cloud resource providers provide resources to users in the form of virtual machines, which greatly improve the quality of service and efficiency. The traditional research of cloud resource allocation and pricing is mainly based on offline setting, which makes assumptions about users' requests, which can not satisfy the dynamic allocation in cloud market, and can not guarantee the quality of service well, and the interests of cloud resource providers will also be damaged. In view of the dynamic nature of cloud computing environment and the heterogeneity of resources, if a reasonable and efficient cloud resource allocation and pricing mechanism can be designed, it is undoubtedly very beneficial to the benefit of cloud resource providers and the improvement of service quality. In this paper, the allocation and pricing of virtual machine resources are studied by mechanism design theory as follows: 1. Through the research of mechanism design theory, integer programming method and VCG auction mechanism theory. An optimal off-line virtual machine allocation and pricing mechanism (VCG-VMAP) is proposed in this paper. The algorithm implements its payment rules and allocation rules, and theoretically proves the mechanism's individual rationality and incentive compatibility. However, when the data is increased, the mechanism can not be handled well and can not adapt to the dynamic nature of cloud computing environment. 2. Combined with the theory of online mechanism design, a problem model of allocation and pricing of online virtual machines is proposed. A virtual machine allocation and pricing mechanism (O-VMAP) based on online mechanism is designed, and its allocation rules and payment rules are implemented by the algorithm. The incentive compatibility and individual rationality of the mechanism are proved from the point of view of online mechanism design theory. This mechanism can deal with large scale data effectively, at the same time, it can adapt to the dynamic cloud computing environment. 3. Through concrete examples, it presents the concrete process of online mechanism O-VMAP for cloud resource allocation and pricing. The allocation rules and payment rules of the mechanism are emphatically analyzed, and the allocation and pricing of resources are accomplished, and the incentive compatibility of the mechanism is analyzed. The algorithms of offline mechanism VCG-VMAP and online mechanism O-VMAP are programmed on the cloud computing simulation platform CloudSim by setting the basic class attribute parameters and extending its basic functions. From five evaluation indicators: social income, execution time, number of service users, the benefits of cloud resource providers, resource utilization, the characteristics of the two mechanisms are compared and analyzed. Simulation results show that the online mechanism is effective and adaptive in the dynamic cloud computing environment, and can achieve good social benefits.
【學(xué)位授予單位】:華北水利水電大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TP393.09
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