Auto-expanding/shrinking cost-optimized content distribution service method based on hybrid cloud scheduling model

Abstract

The invention belongs to the technical field of cloud computing and network multimedia, and particularly provides an auto-expanding / shrinking cost-optimized content distribution service method based on a hybrid cloud scheduling model. The method comprises: a future number of user visits is predicted on the basis of historical data and provides basis for auto-expanding / shrinking of resources; according to the predicted value and a long-term scheduling algorithm, a rough plan of resource booking strategy is obtained through calculation; wherein a short-term scheduling model is introduced to reduce the prediction error and to improve the precision of resource supply and the quality of service. In the long-term scheduling algorithm, a locality-aware booking model is set up to derive the locality-aware resource booking algorithm. A resource prediction algorithm employs the ARIMA model. In a short-term adjustment algorithm, virtual machine status parameters are designed and a content missing algorithm is provided, so that the user experience of the entire system is further improved. The method enables hybrid cloud technology to support streaming media content distribution applications efficiently with auto-expanding / shrinking functions and optimized costs.

Description

technical field [0001] The invention belongs to the technical field of network multimedia, and in particular relates to a content distribution service method based on a hybrid cloud scheduling model for a new generation Internet environment. Background technique [0002] The digital content industry occupies a very important position in the application of the next generation IP network. In the new generation of Internet, with the development of broadband, Internet applications have shifted from simple Web browsing to comprehensive applications centered on rich content. The distribution services of rich media content will account for an increasing proportion. Streaming media, IPTV, Applications such as large file downloads and high-definition video have gradually become the mainstream of broadband applications. According to Cisco's 2010 video network survey report, video traffic accounted for one-third of the entire Internet traffic in 2010, and it is expected to exceed 70% ...

AI Technical Summary

Problems solved by technology

【VYFM2012: Vijay Kumar Adhikari, Yang Guo, Fang Hao, Matteo Varvello, Volker Hilt, Moritz Steiner, Zhi-Li Zhang, Unreeling Netflix: Understanding and Improving Multi-CDN Movie Delivery, INFOCOM'12, Orlando, FL, USA, March , 2012.] pointed out that although the original system had 3 backup CDNs, they would switch only when the preferred server could not meet the minimum bit rate, and the utilization rate was low. Under this background [VYFM2012] proposed an improvement plan, and the CDN selected the largest The server with the remaining bandwidth, and can use three alternative servers to serve at the same time, thus improving the QoS of the video service

Here, one of Netflix's main problems is that it does not take into account the global distribution of cloud service providers, neither location information nor the price factor of cloud services

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