云環(huán)境下的綠色服務(wù)組合方法研究
[Abstract]:In recent years, with the rapid development of Web services technology and the gradual popularization of cloud computing, more and more large-scale IT companies are providing cloud services for small and medium-sized enterprises and individual developers. With the popularity and application of cloud services, service selection and composition methods have become an important research focus. At the same time, because a large number of network services are deployed in the cloud data center, the choice of services will inevitably be affected by the underlying performance of the data center, and then the performance of the service composition will be affected. However, in traditional cloud computing Web service composition technologies, most existing service composition schemes focus only on finding specific services with the best aggregate QoS values (such as response time, throughput, etc.) from the user's point of view. However, the cost of the service portfolio and the energy consumption and network resource consumption that depend on the cloud data center topology and underlying parameters are not considered. For cloud computing infrastructure service providers, energy consumption and network resource consumption are directly related to operational costs, and reduce resource consumption can increase the economic benefits of cloud infrastructure service providers. At the same time, it is also consistent with the national energy saving and emission reduction policies. In this paper, we study the tradeoff between QoS utility, power consumption and network resource consumption in service composition goals, and propose a green service composition method in cloud environment. This method introduces the power consumption model and the network resource consumption model to maximize the utility of QoS while reducing the power consumption and network resource consumption of cloud data centers. In order to evaluate this method, the open source cloud computing simulation engine CloudSim is extended and compared with the traditional service composition method. Then the simulation results are analyzed and discussed. The effectiveness of the proposed method in the control of energy consumption and network resource consumption in cloud data centers is verified. Finally, the related work is summarized, and the future research direction is put forward.
【學(xué)位授予單位】:北京郵電大學(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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